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Exporting to Your Animation Package Once you are happy with the object paths and tracker positions, use the Export menu items to save your scene. The following options are currently available (note that this list is constantly being expanded; check the web site) · 3ds max 4 or later (Maxscript). Should be usable for 3D Studio MAX 3 as well. Separate versions for 3dsmax 5 and earlier, and 3dsmax 6 and later. · After Effects (via a special maya file) · Bentley Microstation · Blender · Carrara · Cinema 4D (via Lightwave scene) · Combustion · ElectricImage (less integrated due to EI import limitations) · FLAIR motion control cameras (Mark Roberts Motion Control) · Flame (3-D) · Fusion 5 · Hash Animation Master. Hash 2001 or later. · Houdini · Inferno 3-D Scene. · Lightwave LWS. Use for Lightwave, Cinema 4D · Maya scene file · Mistika · Motion – 2-D · Nuke (D2 Software, subsidiary of Digital Domain) · Particle Illusion · Poser · Realsoft 3D · Shake (several 2-D/2.5-D plus Maya for 3-D scenes) · SoftImage XSI, via a dotXSI file · Toxik · trueSpace · Vue 5 and 6 Infinite · VIZ (via 3ds Max scene) SynthEyes offers a scripting language, SIZZLE™, that makes it easy to modify the exported files, or even add your own export type. See the separate SIZZLE User Manual for more information. New export types are being added all the time, check the export list in SynthEyes and the support site for the latest packages or beta versions of forthcoming exporters. General Procedures You should already have saved the scene as a SynthEyes file before exporting. Select the appropriate export from the list in the File/Exports area. SynthEyes keeps a list of the last 3 exporters used on the top level of the File menu as well. Hint SynthEyes has many exports. To simplify the list, clickScript/System Script Folder, create a new folder “Unused” in it, and move all the scripts for applications you do not use into that folder. You will have to repeat this process when you later install new builds, however. There is also an export-again option, which repeats the last export performed by this particular scene file, with the most-recently-used export options, without bring up the export-options dialog again to save time for repeated exports. When you export, SynthEyes uses the file name, with the appropriate file extension, as the initial file name. By default, the exported file will be placed in a default export folder (as set using the preferences dialog). In most cases, you can either open the exported file directly, or if it is a script, run the script from your animation package. For your convenience, SynthEyes puts the exported file name onto the clipboard, where you can paste it (via control-V or command-V) into the open-file dialog of your application, if you want. (You can disable this from the preferences panel if you want.) Note that the detailed capabilities of each exporter can vary somewhat. Some scripts offer popup export-control dialogs when they start, or small internal settings at the beginning of each Sizzle script. For example, 3ds max does not offer a way to set the units from a script before version 6 and the render settings are different, so there slightly different versions for 3dsmax 5 and 6+. Settings in the Maya script control the re-mapping of the file name to make it more suitable for Maya on Linux machines. If you edit the scripts, using a text editor such as Windows’ Notepad, you may want to write down any changes as they must be re-applied to subsequent upgraded versions. Be aware that not all packages support all frame rates. Sometimes a package may interpret a rate such as 23.98 as 24 fps, causing mismatches in timing later in the shot. Or one package may produce 29.96 vs 29.97 in another. Handle image sequences and use frame counts rather than AVIs, QTs, frame times, or drop-frame time codes wherever possible. TheCoordinate System control panel offers an Exportable checkbox that can be set for each tracker. By default, all trackers will be exported, but in some cases, especially for compositors, it may be more convenient to export only a few of the trackers. In this case, select the trackers you wish to export, hit control-I to invert the selection, then turn off the checkbox. Note that particular export scripts can choose to ignore this checkbox. Setting the Units of an Export SynthEyes uses generic units a value of 10 might mean 10 feet, 10 meters, 10 miles, 10 parsecs—whatever you want. It does not matter to SynthEyes. This works because match-moving never depends on the overall scale of the scene. SynthEyes generally tries to export the same way as well—sending its numbers directly as-is to the selected animation or compositing package. However, some software packages use an absolute measurement system where, for instance, Lightwave requires that coordinates in a scene file always be in meters. If you want something else inside Lightwave, it will automatically convert the values. For such software, SynthEyes needs to know what units you consider yourself to be using within SynthEyes. It doesn’t care, but it needs to tell the downstream package the right thing, or pre-scale the values to match your intention. To set the SynthEyes units selection, use the Units setting on the SynthEyes preferences panel. Changing this setting will not change any numbers within SynthEyes; it will only affect certain exports. The exports affected by the units setting are currently these · After Effects (3-D) · Hash Animation Master · Lightwave · 3ds max · Maya · Poser Before exporting to one of these packages, you should verify your units setting. Alternatively, if you observe that your imported scene has different values than in SynthEyes, you should check the units setting in SynthEyes. Hint if you will be exporting to acompositing package, they often measure everything, including 3-D coordinates, in terms of pixels, not inches, meters, etc. Be sure to pick sizes for the scene that will work well in pixels. While you might scale a scene for an actor 2m tall, if you export to a compositor and the actor is two pixels tall that will rarely make sense. Image Sequences Different software packages have different conventions and requirements regarding the numbering of image sequences whether they start at 0 or 1, whether there are leading zeroes in the image number, and whether they handle sequences that start at other numbers flexibly. For example, if you have a shot that originally had frames img1.tif-img456.tif, but you are using only images img100.tif-img150.tif of it, SynthEyes will normally consider it as a 51 frame shot, starting with frame 0 (img100.tif) or, withFirst frame is 1preference on, as frame 1 at img100.tif. Other software sometimes requires that their frame numbers match the file number, so img100.tif must always be frame 100, no matter what frame# they normally start at. SynthEyes gives you the option to pad the beginning of IFLs with extra copies of the first frame, so that the SynthEyes frame number matches the image frame number, by turning on the Match frame# s preference. While this sounds simple, it will cause trouble for many of the exports. It is especially a problem if you do not have the unused frames, as is often the case. By being aware of these differences, you will be able to recognize when your particular situation requires an adjustment to the settings—typically when there is a shift between the camera path animation and the imagery. Generic 2-D Tracker Exporters There are a number of similar exporters that all output 2-D tracker paths to various compositing packages. Why 2-D, you protest? For starters, SynthEyes tracking capabilities can be faster and more accurate. But even more interestingly, you can use the 2-D export scripts to achieve some effects you could not with the compositing package alone. For image stabilizing applications, the 2-D export scripts will average together all the selected trackers within SynthEyes, to produce a synthetic very stable tracker. For corner-pinning applications, you can have SynthEyes output not the 2-D tracker location, but the re-projected location of the solved 3-D point. This location can not only be smoother, but continues to be valideven if the tracker goes off-screen. So suppose you need to insert a painting into an ornate picture-frame using corner pinning, but one corner goes off-screen during part of the shot. By outputting the re-projected 3-D point (Use solved 3-D points checkbox), the corner pin can be applied over the entire shot without having to guess any of the path. Taking this idea one step further, you can create an “extra” point in 3-D in SynthEyes. Its re-projected 2-D position will be averaged with any selected trackers; if there are none, its position will be output directly. So you can do a four-corner pin even if one of the corners is completely blocked or off-screen. By repeating this process several times, you can create any number of synthetic trackers, doing a four-corner insert anywhere in the image, even where there are no trackable features. Of course, you could do this with using a 3-D compositing environment, but that might not be simplest. At present, there are compatible 2-D exporters for AfterEffects, Digital Fusion, Discreet (Combustion/Inferno/Flame), Particle Illusion, and Shake. Note that you will need to import the tracker data file (produced by the correct SynthEyes exporter) into a particular existing tracker in your compositing package. There is also a 2-D exporter that exports all tracker paths into a single file, with a variety of options to change frame numbers and u/v coordinates. A similar importer can read the same file format back in. Consequently, you can use the pair to achieve a variety of effects within SynthEyes, including transferring trackers from SynthEyes file to SynthEyes file, as described in the section onMerging Files and Tracks. This format can also be imported by Fusion. Generic 3-D Exporters There are several 3-D exports that produce plain text files. You can use them for any software SynthEyes don’t already support, for example, non-visual-effects software. You can also use them as a way to manipulate data with little shell, AWK, or Perl scripts, for example. Importantly, you can also use them as a way to transfer data between SynthEyes scene files, for example, to compute some tracker locations to be used by a number of shots. There are several ways to do this, see the section onMerging Files and Tracks. The generic exports are Camera/Object Path for a path, Plain Trackers for the 3-D coordinates of trackers and helper points, and corresponding importers. You can import 3-D locations to create either helper points, or trackers. This latter option is useful to bring in surveyed coordinates for tracking. After Effects 3-D Procedure 1. Export to After Effects in SynthEyes to produce a (special) .ma file. 2. In After Effects, do a File/Import File 3. Change Files of Type to All File Formats 4. Select the .ma file 5. Double-click the Square-whatever composition 6. Re-import the original footage 7. Click File/Interpret Footage/Main and be sure to check the frame rate and pixel aspect. 8. Rewind to the beginning of the shot 9. Drag the re-imported footage from the project window into the timeline as the first layer 10.Tracker nulls have a corner at the active point, instead of being centered on the active point as in SynthEyes. After Effects 2-D Procedure 1. Select one or more trackers to be exported. 2. Export using the After Effects 2-D Clipboard. You can select either the 2-D tracking data, or the 3-D position of tracker re-projected to 2-D. 3. Open the text file produced by the export 4. In the text editor, select all the text, using control-A or command-A. 5. Copy the text to the clipboard with control-C or command-C. 6. In After Effects, select a null to receive the path. 7. Paste the path into it with control-V or command-V. Bentley MicroStation You can exporter to Bentley s Microstation V8 XM Edition by following these directions. Exporting from SynthEyes MicroStation requires that animated backgrounds consist of a consecutive sequence of numbered images, such as JPEG or Targa images. If necessary, the Preview Movie capability in SynthEyes s Perspective window can be used to convert AVIs or MOVs to image sequences. Perform tracking, solving, and coordinate system alignment in SynthEyes. (Exporting coordinates from MicroStation into SynthEyes may be helpful) File/Export/Bentley MicroStation to produce a MicroStation Animation (.MSA) file. Save the file where it can be conveniently accessed from MicroStation. The export parameters are listed below. SynthEyes/MicroStation Export Parameters Target view number. The view number inside MicroStation to be animated by this MSA file (usually 2) Scaling. This is from MicroStation s Settings/DGN File Settings/Working Units, in the Advanced subsection the resolution. By default, it is listed as 10000 per distance meter, but if you have changed it for your DGN file, you must have the same value here. Relative near-clip. Controls the MicroStation near clipping-plane distance. It is a “relative” value, because it is multiplied by the SynthEyes world size setting. Objects closer than this to the camera will not be displayed in MicroStation. Relative view-size.Another option to adjust as needed if everything is disappearing from view in MicroStation. Relative far-clip. Controls the MicroStation far clipping-plane distance. It is a “relative” value, because it is multiplied by the SynthEyes world size setting. Objects farther than this from the camera will not be displayed in MicroStation. Importing into MicroStation Open your existing 3-D DGN file. Or, create a new one, typically based on seed3d.dgn Open the MicroStation Animation Producer from Utilities/Render/Animation File/Import .MSA the .msa file written by the SynthEyes exporter. Set the View Size correctly—this isrequiredto get a correct camera match. Settings/Rendering/View Size Select the correct view # (typically 2) Turn off Proportional Resize Set X and Y sizes as follows. Multiply the height(Y) of your image, in pixels, by the aspect ratio (usually 4 3 for standard video or 16 9 for HD) to get the width(X) value. For example, if your source images are 720x480 with a 4 3 aspect ratio, the width is 480*4/3 = 640, so set the image size to X=640 and Y=480, either directly on the panel or using the “Standard” drop-down menu. This process prevents horizontal (aspect-ratio) distortion in your image. Hit Apply Turn Proportional Resize back on Close the view size tool On the View Attributes panel, turn on the Background checkbox. Bring up the Animation toolbar (Tools/Visualization/Animation) and select the Animation Preview tool. You can dock it at the bottom of MicroStation if you like. If you scrub the current time on the Animation Preview, you’ll move through your shot imagery, with synchronized camera motion. Unless you have some 3-D objects in the scene, you won’t really be able to see the camera motion, however. If desired, use the Tools/3-D Main/3-D Primitives toolbar to create some test objects (as you probably did in SynthEyes). To see the camera cone of the camera imported from SynthEyes, bring up Tools/Visualization/Rendering, and select the Define Camera tool. Select the view with the SynthEyes camera track as the active view in the Define Camera tool, and turn on the Display View Cone checkbox. Transferring 3-D Coordinates If you would like to use within MicroStation the 3-D positions of the trackers, as computed by SynthEyes, you can bring them into MicroStation as follows. You have the option of exporting only a subset of points from SynthEyes to MicroStation. All trackers are exported by default; turn off the Exportable checkbox on the coordinate system panel for those you don’t wish to export. You may find it convenient to select the ones you want, then Edit/Invert Selection, then turn off the box. In SynthEyes, File/Export/Plain Trackers with Set Names=none, Scale=1, Coordinate System=Z Up. This export produces a .txt file listing all the XYZ tracker coordinates. In MicroStation, bring up the Tools/Annotation/XYZ Text toolbar. Click the Import Coordinates tool. Select the .txt file exported from SynthEyes in Step 1. Set Import=Point Element, Order=X Y Z, View=2 (or whichever you are using). Transferring Meshes SynthEyes uses two types of meshes to help align and check camera matches mesh primitives, such as spheres, cubes, etc; and tracker meshes, built from the computed 3-D tracker locations. The tracker meshes can be used to model irregular areas, such as a contoured job site into which a model will be inserted. Both types of models can be transferred as follows In SynthEyes, select the mesh to be exported, by clicking on it or selecting it from the list on the 3-D panel. Select the File/Export/STL Stereolithography export, and save the mesh to a file. In MicroStation, select File/Import STL and select the file written in step 2. You can use the default settings. Meshes will be placed in MicroStation at the same location as in SynthEyes. You can bring up its Element/Information and assign it a material. To Record the Animation Select the Record tool on the Animation toolbar (Tools/Visualization/Animation) Important Be sure the correct (square pixels) output image size is selected, the same one as the viewport size. For example, if your input is 4 3 720x480 DV footage, youMUSTselect640x480output to achieve 4 3 with square pixels (ie 640/480 = 4/3). MicroStation always outputs square pixels. You can output images with any overall aspect you wish, as long as the pixels are square (pixelaspect ratio is 1.0). Note that HD images already have square pixels. Don’t clobber your input images! Be sure to select a different location for your output footage than your input. Blender Directions Blender has a tendency to change around frequently, so the details of these directions might best be viewed more as a guide than the last word. When working with image sequences and blender, it will be a good idea to ensure that the overall frame number is the same as the number in the image file name. Although you can adjust the offset, Blender incorrectly eliminates a frame number of zero. 1. In SynthEyes, export to Blender (Python) 2. Start Blender 3. Delete the default cube and light 4. Change one of the views to the blender Text Editor 5. In the text editor, open the blender script you exported in step 1. 6. Hit ALT-P to run the script 7. Select the camera (usually Camera01) in the 3-D Viewport 8. In a 3-D view, select Camera on the View menu to look through the imported, animated, SynthEyes camera 9. Select View/Background image 10.Click Use Background Image 11.Select your image sequence or movie from the selection list. 12.Adjust the background image settings to match your image. Make sure the shot length is adequate, and that Auto Refresh is on. If the images and animation do not seem to be synced correctly, you probably have to adjust the offset. 13.Decrease the “blend” value to zero, or you can go without the background, and set up compositing within blender. 14.On the View Properties dialog, you might wish to turn off Relationship Lines to reduce clutter. 15.Use a Timeline view to scrub through the shot. Cinema 4D Procedure 1. Export from SynthEyes in Lightwave Scene format (.lws) — see below. 2. Start C4D, open the .lws file 3. From the Objects menu, add a Background 4. Create a new Texture with File/New down below. 5. At right, click on “…” next to the file name for texture. 6. Select your source file. 7. Click on the right-facing triangle button next to the file name, select Edit. 8. Select the Animation panel 9. Click the Calculate button at the bottom. 10.Drag the new texture from the texture editor onto the “Background” on the object list. Background now appears in the viewport. DotXSI Procedure 1. In SynthEyes, after completing tracking, do File/Export/dotXSI to create a .xsi file somewhere. 2. Start Softimage, or do a File/New. 3. File/Import/dotXSI... of the new .xsi file from SynthEyes. The options may vary with the XSI version, but you want to import everything. 4. Set the camera to Scene1.Camera01 (or whatever you called it in SynthEyes). 5. Open the camera properties. 6. In the camera rotoscopy section, select New from Source and then the source shot. 7. Make sure “Set Pixel Ratio to 1.0” is on. 8. Set “Use…” pixel ratio to “Camera Pixel Ratio” (should be the default) 9. In the Camera section, make sure that Field of View is set to Horizontal. 10.Make sure that the Pixel Aspect Ratio is correct. In SynthEyes, select Shot/Edit Shot to see the pixel aspect ratio. Make sure that XSI has the exact same value 0.9 isnota substitute for 0.889, so fix it! Back story XSI does not have a setting for 720x480 DV, and 720x486 D1 causes errors! 11.Close the camera properties page. 12.On the display mode control (Wireframe, etc), turn on Rotoscope. ElectricImage The ElectricImage importer relies on a somewhat higher level of user activity than normal, in the absence of a scripting language for EI. You can export either a camera or object path, and its associated trackers. 1. After you have completed tracking in SynthEyes, select the camera/object you wish to export from the Shots menu, then select File/Export/Electric Image. SynthEyes will produce two files, an .obm file containing the trajectory, and an .obj file containing geometry marking the trackers. 2. In ElectricImage, make sure you have a camera/object that matches the name used in SynthEyes. Create new cameras/objects as required. If you have Camera01 in SynthEyes, your camera should be Camera 1 in EI. The zero is removed automatically by the SynthEyes exporter. 3. Go to the Animation pull-down menu and select the Import Motion option. 4. In the open dialog box, select All Files from the Enable pop-up menu, so that the .obm file will be visible. 5. Navigate to, and select, the .obm file produced by SynthEyes. This will bring up the ElectricImage motion import dialog box which allows you to override values for position, rotation, etc. Normally, you will ignore all these options as it is simpler to parent the camera/object to an effector later. The only value you might want to change is the start time to offset when the camera move begins. Click OK and you will get a warning dialog about the frame range. This is a benign warning that sets the range of frames rendering option to match the length of the incoming camera data. Hitting cancel will abort the operation, so hit OK and the motion data will be applied to the camera. 6. Select Import Object from the Object pull-down menu. 7. Enable All Files in the pop-up menu. 8. Select the .obj file produced by SynthEyes. 9. Create a hierarchy by selecting one tracker as the parent, or bringing in all trackers as separate objects. 10.If you are exporting an object path, parent the tracker object to the object holding the path. Fusion 5 There are several Fusion-compatible exporters. The main exporter is the Fusion 5 composition export, which can be opened directly in Fusion. The Tracker 2-D Paths export can write all the exportable trackers to a text file, which can then be read in Fusion with the Import SynthEyes Trackers script and assigned to any Point-type input on a node. Select a node and start the Import script from its right-click menu. At present, it appears that you should animate the desired control before importing, then tell the script to proceed anyway when it notices that the control is already animated. There is also a generic 2-D path exporter for Fusion. Houdini Instructions 1. File/New unless you are addding to your existing scene. 2. Open the script Textport 3. Typesource c /shots/scenes/flyover.cmd or equivalent. 4. Change back from COPs to OBJs. Lightwave The Lightwave exporter produces a lightwave scene file (.lws) with several options, one of them crucial to maintaining proper synchronization. As mentioned earlier, Lightwave requires a units setting when exporting from SynthEyes. The SynthEyes numbers are unitless by changing the units setting in the lightwave exporter as you export, you can make that 24 in SynthEyes mean 24 inches, 24 feet, 24 meters, etc. This is different than in Lightwave, where changing the units from 24 inches would yield 2 feet, 0.61 meters, etc. This is the main setting that you may want to change from scene to scene. Lightwave has an obscure preferences-like setting on its Compositing panel (on the Windows menu) named “Synchronize Image to Frame.” The available options are zero or one. Selecting one shifts the imagery one frame later in time, and this is the Lightwave default. However, for SynthEyes, a setting of zero will generally be more useful (unless the SynthEyes preferenceFirst Frame is 1is turned on). The Lightwave exporter from SynthEyes allows you to select either 0 or 1. We recommend selecting zero, and adjusting Lightwave to match. You will only have to do this once, Lightwave remembers it subsequently. In all cases, you must have a matching value on the exporter UI and in Lightwave, or you will cause a subtle velocity-dependent error in your camera matches in Lightwave that will drive you nuts until you fix the setting. The exporter also has a checkbox for using DirectShow. This checkbox applies only for AVIs, and should be on for most AVIs that contain advanced codecs such as DV or HD. If an AVI uses an older codec and is not opened automatically within Lightwave, export again with this checkbox turned off. Nuke The nuke exporter produces a nuke file you can open directly. The pop-up parameter panel lets you indicate if you have a slate frame at the start of the shot, or select renderable or non-rendering tracker marks. The renderable marks are better for tracking, the non-rendering marks better for adding objects within Nuke s 3-D view. Poser Poser struggles a little to be able to handle a match-moved camera, so the process is a bit involved. Hopefully Curious Labs will improve the situation in further releases. The shot must have square pixels to be used properly by Poser; it doesn t understand pixel aspect ratios. So if you have a 720x480 DV source, say, you need to resample it in SynthEyes, AfterEffects or something to 640x480. Also, the shot has to have a frame rate of exactly 30 fps. This is a drag since normal video is 29.97 fps, and Poser thinks it is 29.00 fps, and trouble ensues. One way to get the frame rate conversion without actually mucking up any of the frames is to store the shot out as a frame sequence, then read it back in to your favorite tool as a 30 fps sequence. Then you can save the 640x480 or other square-pixel size. Note that you can start with a nice 720x480 29.97 DV shot, track it in SynthEyes, convert it as above for Poser, do your poser animation, render a sequence out of Poser, then composite it back into the original 720x480. One other thing you need to establish at this time---exactly how many frames there are in your shot. If the shot ranges are 0 to 100, there are 101; from 10 to 223, there are 214. 1. After completing tracking in SynthEyes, export using the Poser Python exporter. 2. Start Poser. 3. Set the number of frames of animation, at bottom center of the Poser interface, to the correct number of frames. It is essential that you do this now, before reading the python script 4. File/Run Python Script on the python script output from SynthEyes. 5. The Poser Dolly camera will be selected and have the SynthEyes camera animation on it. There are little objects for each tracker, and also SynthEyes boxes, cones, etc are brought over into Poser. Open Question How to render out of Poser with the animated movie background. The best approach appears to be to render against black with an alpha channel, then composite over the original shot externally. Shake SynthEyes offers three specific exporters for Shake, plus one generic one 1. MatchMove Node. 2. Tracker Node 3. Tracking File format 4. 3-D Export via the “AfterFX via .ma” or Maya ASCII exports. The first two formats (Sizzle export scripts) produce shake scripts (.shk files); the third format is a text file. The fourth option produces Maya scene files that Shake reads and builds into a scene using its 3-D camera. We’ll start with the simplest, the tracking file format. Select one tracker and export with the Shake Tracking File Format, and you will have a track that can be loaded into a Shake tracker using the load option. You can use this to bring a track from SynthEyes into existing Shake tracking setups. Building on this basis, #2, Tracker Node, exports one or more selected trackers from SynthEyes to create a single Tracker Node within Shake. There are some fine points to this. First, you will be asked whether you want to export the solved 3-D positions, or the tracked 2-D positions. These values are similar, but not the same. If you have a 3-D solution in SynthEyes, you can select the solved 3-D positions, and the export will be the “ideal” tracked (predicted) coordinates, with less jitter than the plain 2-D coordinates. Also, since you might be exporting from a PC to a Mac or Linux machine, the image source file(s) may be named differently perhaps X \shots1\shot1_#.tga on the PC, and //macmachine/Users/tom/shots/shot1_#.tga on the PC. The Shake export script s dialog box has two fields, PC Drive and Mac Drive, that you can set to automatically translate the PC file name into the Mac file name, so that the Shake script will work immediately. In this example, you would set PC Drive to “X \\” and Mac Drive to “//macmachine/Users/tom/”. Finally, the MatchMove node exporter looks not for trackers to export, but for SynthEyes planes! Each plane (created from the 3-D panel) is exported to Shake by creating four artificial trackers (in Shake) at the corners of the plane. The matchmove export lets you insert a layer at any arbitrary position within the 3-D environment calculated by SynthEyes. For example, you can insert a matte painting into a scene at a location where there is nothing to track. You can use a collection of planes, positioned in SynthEyes, to obtain much of the effect of a 3-D camera. The matchmove node export also provides PC to Mac/Linux file name translation. trueSpace Directions Warning trueSpace has sometimes had problems executing the exported script correctly. Hopefully Caligari will fix this soon. 1. In SynthEyes, export to trueSpace Python. 2. Open trueSpace. 3. Right-click the Play button in the trueSpace animation controls. 4. Set the correct BaseRate/PlayRate in the animation parameters to match your source shot. 5. Open the Script Editor. 6. From inside the Script Editor, Open/Assign the python script you created within SynthEyes. 7. Click Play (Time On) in the Script Manager. 8. When the Play button turns off, close the ScriptManager. 9. Open the Object Info panel. 10.Verify that the SynthEyes camera is selected (usually Camera01). 11.Change the Perspective view to be View from Object. 12.Select the Camera01Screen. 13.Open the Material Editor (paint pallete). 14.Right click on Color shaders button. 15.Click on (Caligari) texture map, sending it to the Material Editor color shader. 16.Open the subchannels of the Material Editor (Color, Bump, Reflectance). 17.On the Color channel of the Material Editor, right click on the Get Texture Map button and select your source shot. 18.Check the Anim box. 19.Click the Paint Object button on the Material Editor. 20.Click on File/Display Options and change the texture resolution to 512x512. 21.You may want to set up a render background to overlay animated objects on the background, or you can use an external compositing program. Make the Camera01Screen object invisible before rendering. 22.In trueSpace, you need to pay special attention to get the video playback synchronized with rest of the animation, and to get the render aspect ratio to match the original. For example, you must add the texture map while you are at frame zero, and you should set the pixel aspect ratio to match the original (SynthEyes s shot panel will tell you what it is). Vue 5 Infinite The export to Vue Infinite requires a fair number of manual steps pending further Vue enhancements. But with a little practice, they should only take a minute or two. 1. Export from SynthEyes using the Vue 5 Infinite setting. The options can be left at their default settings unless desired. You can save the python script produced into any convenient location. 2. Start Vue Infinite or do a File/New in it. 3. Select the Main Camera 4. On its properties, turn OFF Always keep level 5. Go to the animation menu, turn ON the auto-keyframe option. 6. Select the Python/Run python script menu item, select the script exported from SynthEyes, and run it. 7. In the main camera view, select the Camera01 Screen object (or the equivalent if the SynthEyes camera was renamed) 8. In the material preview, right-click, select Edit Material. 9. The material editor appears, select Advanced Material Editor if not already. 10.Change the material name to flyover or whatever the image shot name is. 11.Select the Colors tab. 12.Select Mapped picture 13.Click the left-arrow Load icon under the black bitmap preview area 14.In the Please select a picture to load dialog, click the Browse File icon at the bottom --- a left arrow superimposed on a folder 15.Select your image file in the Open Files dialog. If it is an image sequence, select the first image, then shift-select the last. 16.On the material editor, under the bitmap preview area, click the clap-board animation icon to bring up the Animated Texture Options dialog 17.Set the frame rate to the correct value. 18.Turn on Mirror Y 19.Hit OK on the Animated Texture dialog 20.On the drop-down at top right of the Advanced Material Editor, select a Mapping of Object- Parametric 21.Turn off Cast shadows and Receive shadows 22.Back down below, click the Highlights tab 23.Turn Highlight global intensity down to zero. 24.Click on the Effects tab 25.Turn Diffuse down to zero 26.Click the Ambient data-entry field and enter 400 27.Hit OK to close the Advanced Material Editor 28.Select the Animation/Display Timeline menu item (or hit F11) 29.If this is the first time you have imported from SynthEyes to Vue Infinite, you must perform the following steps a. Select File/Options menu item. b. Click the Display Options tab c. Turn off Clip objects under first horizontal plane in main view only , otherwise you will not be able to see the background image. d. Turn off Clip objects under first horizontal plane (ground / water) e. Turn off Stop camera going below clipping plane (ground / water) if needed by your camera motion. f. Hit OK 30.Delete the Ground object 31.If you are importing lights from SynthEyes, you can delete the Sun Light as well, otherwise, spin the Sun Light around to point at the camera screen, so that the image can be seen in the preview window. 32.You may have to move the time bar before the image appears. Vue Infinite only shows the first image of the sequence, so you can verify alignment at frame zero. 33.You will later want to disable the rendering of the trackers, or delete them outright. 34.Depending on what you are doing, you may ultimately wish to delete or disable the camera screen as well, for example, if you will composite an actor in front of your Vue Infinite landscape. 35.The import is complete; you can start working in Vue Infinite. You should make probably save a copy of the main camera settings so that you can have a scratch camera available as you prepare the scene in Vue Infinite. Vue 6 Infinite Export from SynthEyes using the Vue 6 Infinite option, producing a maxscript file. Import the maxscript file in Vue 6 Infinite Adjust the aspect ratio of the backdrop to the correct overall aspect ratio for your shot. This is important since Vue assumes square pixels, and if they aren’t (for all DV, say), the camera match will be off badly
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Market Analysis The global Smart Commute Market Growth is predicted to touch USD 104.22 billion and at a whopping 25.52% CAGR between 2020- 2027, states the recent Market Research Future (MRFR) analysis. Smart commute, simply put, is traveling from a particular place to another regularly through metro, bicycle pooling, bike pooling, vanpooling, and others. Traffic management, parking management, smart ticketing, mobile app, and others are different solutions. These services provide eco-friendly traveling experience to people and make an active alternative to transportation for enterprise employees that can pick from effective commute option, which along with reducing the congestion, also helps in lowering the transportation cost. Various factors are propelling the global smart commute app market share. According to the recent MRFR report, such factors include high demographic rates, growing urban population, the use of smart and connected technologies in transportation infrastructure, growing demand for transportation as a service, decline in ownership of vehicles with shared mobility. Additional factors adding market growth include several upcoming railway projects, growing urbanization and industrialization, demand for public transport and smart transportation solutions as well as related components, services, and software, advances in technology like the implementation of electronic payment systems, traveler information systems, and automatic vehicle location systems, and benefits such as an increase in traveler convenience, reduce traffic congestion, lower emission levels, and improve fuel economy. On the contrary, high component cost, concerns about security and management data storage, the slow growth rate of GDP, susceptibility to cyberattacks, and the on-going COVID-19 impact are factors that may impede the global smart commute application market growth over the forecast period. Get a Free Sample @ https //www.marketresearchfuture.com/sample_request/6975 Market Segmentation The MRFR report highlights an inclusive segmental analysis of the global smart commute market based on solution and type. Based on type, the global smart commute market is segmented into metro, bicycle pooling, bike pooling, vanpooling, carpooling, and others. Based on the solution, the global smart commute market is segmented into traffic management, parking management, smart ticketing, mobile app, and others. Regional Analysis Based on the region, the global smart commute market report covers the recent trends and growth opportunities across the Asia Pacific (APAC), North America, Europe, the Rest of the World (RoW). Of these, the APAC region is predicted to have the lions share over the forecast period. Strict government norms and regulations related to greenhouse gas emissions, adoption of car sharing services, and the upcoming availability of zero-emission car sharing services are adding to the global smart commute market growth in the region. The global smart commute market in Europe is predicted to have healthy growth over the forecast period. Improved socio-economic conditions in France, the UK, and Germany are adding to the global smart commute market growth in the region. The global smart commute market in North America is predicted to have sound growth over the forecast period. Favorable incentives introduced by the government for promoting carpooling services are adding to the global smart commute market growth in the region. The global smart commute market in the RoW is predicted to have steady growth over the forecast period. Key Players Leading contenders profiled in the global smart commute market report include Carma Technology Corporation (Europe), Turo (US), BlaBlaCar (France), CommuteSMART (US), Oakland Smart Commute (California), Central Indiana Regional Transportation Authority (CIRTA) (US), ZipGo Technologies Pvt. Ltd (India), Metrolinx (Canada), ANI Technologies Pvt. Ltd.(India), Uber Technologies Inc. (India), Quick Ride (India), ePoolers Technologies Pvt. Ltd. (India), and South Florida Commuter Services (US). Industry players have incorporated several strategies such as mergers, new product launches, strategic alliances, geographic expansions, extensive R D activities, new product development, and others to stay at the forefront. Brows Full Report @ https //www.marketresearchfuture.com/reports/smart-commute-market-6975 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report** B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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【登録タグ LIMITED SINGLES season1 Stack Y アブラカダブラ リジッドパラダイス 暁Records 曲】 【注意】 現在、このページはJavaScriptの利用が一時制限されています。この表示状態ではトラック情報が正しく表示されません。 この問題は、以下のいずれかが原因となっています。 ページがAMP表示となっている ウィキ内検索からページを表示している これを解決するには、こちらをクリックし、ページを通常表示にしてください。 /** General styling **/ @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight 350; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/10/NotoSansCJKjp-DemiLight.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/9/NotoSansCJKjp-DemiLight.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/8/NotoSansCJKjp-DemiLight.ttf) format( truetype ); } @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight bold; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/13/NotoSansCJKjp-Medium.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/12/NotoSansCJKjp-Medium.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/11/NotoSansCJKjp-Medium.ttf) format( truetype ); } rt { font-family Arial, Verdana, Helvetica, sans-serif; } /** Main table styling **/ #trackinfo, #lyrics { font-family Noto Sans JP , sans-serif; font-weight 350; } .track_number { font-family Rockwell; font-weight bold; } .track_number after { content . ; } #track_args, .amp_text { display none; } #trackinfo { position relative; float right; margin 0 0 1em 1em; padding 0.3em; width 320px; border-collapse separate; border-radius 5px; border-spacing 0; background-color #F9F9F9; font-size 90%; line-height 1.4em; } #trackinfo th { white-space nowrap; } #trackinfo th, #trackinfo td { border none !important; } #trackinfo thead th { background-color #D8D8D8; box-shadow 0 -3px #F9F9F9 inset; padding 4px 2.5em 7px; white-space normal; font-size 120%; text-align center; } .trackrow { background-color #F0F0F0; box-shadow 0 2px #F9F9F9 inset, 0 -2px #F9F9F9 inset; } #trackinfo td ul { margin 0; padding 0; list-style none; } #trackinfo li { line-height 16px; } #trackinfo li nth-of-type(n+2) { margin-top 6px; } #trackinfo dl { margin 0; } #trackinfo dt { font-size small; font-weight bold; } #trackinfo dd { margin-left 1.2em; } #trackinfo dd + dt { margin-top .5em; } #trackinfo_help { position absolute; top 3px; right 8px; font-size 80%; } /** Media styling **/ #trackinfo .media th { background-color #D8D8D8; padding 4px 0; font-size 95%; text-align center; } .media td { padding 0 2px; } .media iframe nth-of-type(n+2) { margin-top 0.3em; } .youtube + .nicovideo, .youtube + .soundcloud, .nicovideo + .soundcloud { margin-top 0.75em; } .media_section { display flex; align-items center; text-align center; } .media_section before, .media_section after { display block; flex-grow 1; content ; height 1px; } .media_section before { margin-right 0.5em; background linear-gradient(-90deg, #888, transparent); } .media_section after { margin-left 0.5em; background linear-gradient(90deg, #888, transparent); } .media_notice { color firebrick; font-size 77.5%; } /** Around track styling **/ .next-track { float right; } /** Infomation styling **/ #trackinfo .info_header th { padding .3em .5em; background-color #D8D8D8; font-size 95%; } #trackinfo .infomation_show_btn_wrapper { float right; font-size 12px; user-select none; } #trackinfo .infomation_show_btn { cursor pointer; } #trackinfo .info_content td { padding 0 0 0 5px; height 0; transition .3s; } #trackinfo .info_content ul { padding 0; margin 0; max-height 0; list-style initial; transition .3s; } #trackinfo .info_content li { opacity 0; visibility hidden; margin 0 0 0 1.5em; transition .3s, opacity .2s; } #trackinfo .info_content.infomation_show td { padding 5px; height 100%; } #trackinfo .info_content.infomation_show ul { padding 5px 0; max-height 50em; } #trackinfo .info_content.infomation_show li { opacity 1; visibility visible; } #trackinfo .info_content.infomation_show li nth-of-type(n+2) { margin-top 10px; } /** Lyrics styling **/ #lyrics { font-size 1.06em; line-height 1.6em; } .not_in_card, .inaudible { display inline; position relative; } .not_in_card { border-bottom dashed 1px #D0D0D0; } .tooltip { display flex; visibility hidden; position absolute; top -42.5px; left 0; width 275px; min-height 20px; max-height 100px; padding 10px; border-radius 5px; background-color #555; align-items center; color #FFF; font-size 85%; line-height 20px; text-align center; white-space nowrap; opacity 0; transition 0.7s; -webkit-user-select none; -moz-user-select none; -ms-user-select none; user-select none; } .inaudible .tooltip { top -68.5px; } span hover + .tooltip { visibility visible; top -47.5px; opacity 0.8; transition 0.3s; } .inaudible span hover + .tooltip { top -73.5px; } .not_in_card span.hide { top -42.5px; opacity 0; transition 0.7s; } .inaudible .img { display inline-block; width 3.45em; height 1.25em; margin-right 4px; margin-bottom -3.5px; margin-left 4px; background-image url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2971/7/Inaudible.png); background-size contain; background-repeat no-repeat; } .not_in_card after, .inaudible .img after { content ; visibility hidden; position absolute; top -8.5px; left 42.5%; border-width 5px; border-style solid; border-color #555 transparent transparent transparent; opacity 0; transition 0.7s; } .not_in_card hover after, .inaudible .img hover after { content ; visibility visible; top -13.5px; left 42.5%; opacity 0.8; transition 0.3s; } .not_in_card after { top -2.5px; left 50%; } .not_in_card hover after { top -7.5px; left 50%; } .not_in_card.hide after { visibility hidden; top -2.5px; opacity 0; transition 0.7s; } /** For mobile device styling **/ .uk-overflow-container { display inline; } #trackinfo.mobile { display table; float none; width 100%; margin auto; margin-bottom 1em; } #trackinfo.mobile th { text-transform none; } #trackinfo.mobile tbody tr not(.media) th { text-align left; background-color unset; } #trackinfo.mobile td { white-space normal; } document.addEventListener( DOMContentLoaded , function() { use strict ; const headers = { title アルバム別曲名 , album アルバム , circle サークル , vocal Vocal , lyric Lyric , chorus Chorus , narrator Narration , rap Rap , voice Voice , whistle Whistle (口笛) , translate Translation (翻訳) , arrange Arrange , artist Artist , bass Bass , cajon Cajon (カホン) , drum Drum , guitar Guitar , keyboard Keyboard , mc MC , mix Mix , piano Piano , sax Sax , strings Strings , synthesizer Synthesizer , trumpet Trumpet , violin Violin , original 原曲 , image_song イメージ曲 }; 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Market Scenario Market Research Future (MRFR), in its latest report on the global market for construction robots, reveals the likely market scenario in the study period and factors that can control the market across the forecast period 2018–2023. The global Construction Robot MarketSize is likely to rise at 17% CAGR in the forecast period 2018–2023. The construction robot value to touch USD 165 million in the assessment period. Novel coronavirus has Construction Robot Market Size to open new avenues for those firms that are on the lookout for solutions that are reliable, efficiently managed, scalable, and are subscription-based, to remain more focused on the core business. The Construction Robot Market is bearing lesser impact of the COVID-19 outbreak compared to most other segments of the tech world. The growing automation trend in the construction industry is expected to underpin the construction robot in the assessment period. The increase in automated construction solution for renovation, commercial construction, and demolition can boost the expansion of the market across the study period. In addition, the increase in safety concern for labours in disorganized and threating work environment is also boosting the adoption of construction robot, which, in turn, can support the market growth in the years ahead. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/6305 Competitive Outlook Alpine Sales and Rental (US), CyBe Construction (Netherlands), Cyberdyne (Japan), nLink (Norway), Komatsu (Japan), Husqvarna (Sweden), Brokk AB (Sweden), Esko Bionics (U.S.), TopTec Spezialmaschinen GmbH (Germany), Conjet AB (Sweden), Construction Robotics (U.S.) Autonomous Solutions (US), Fastbrick Robotics (Australia), Apis Cor (Russia), Yingchuang Building Technique Co. (WinSun) (China), MX3D (Netherlands), Giant Hydraulic Tech (China), Advanced Construction Robotics (US), and Beijing Borui Intelligent Control Technology (China) are some reputed dealers of Construction robots as listed by MRFR. Segmentation The segment evaluation of the construction robot market is done by automation, function, vertical, and design type. The design type-based segment of the construction robot are robotic arm, exoskeleton, and traditional robot. The rise in popularity of robotic arm construction robot due to advantages, such as ease of lifting heavy weights and slashing manual labor, can promote the expansion of the market in the years to come. The automation based segments of the construction robot market are semi-autonomous and fully autonomous. The high adoption of automated, followed by semi-autonomous robot can boost the expansion of the construction robot market through the analysis period. The function-based segments of the construction robot market are bricklaying, demolition, concrete structural erection, 3D printing, doors and windows installation, finishing work, and others. Increase in scope of 3D printing can impel the market rise. The vertical based segments of the construction robot market are commercial and residential buildings, public infrastructure, and nuclear dismantling and demolition among others. Other includes road and tunnel construction. Rise in building activates can boost the expansion of the market in the assessment period. Regional Analysis In APAC, the growing awareness about Construction robots and its benefits such as improvement safety, high quality, and rise in productivity can impel the expansion of the regional market through the review period. The availability of different type of construction robots that simplifies tasks in the construction sector can impel the expansion of the APAC market. The rise in the popularity of 3D-printing robots and launch of innovative prototypes can boost the expansion of the construction robot market in the North America. In Europe, the increase in buildings based on 3D models to construct complex design can prompt the regional market growth. In addition, advancements in industrial robotics and the use of implementation on UAV (unmanned aerial vehicles) across the US construction industry can support the expansion of the regional market. The feasibility of UAVs in capturing accurate data for large sites, site surveying, health and safety inspections, and accessing hazardous zones can support the expansion of construction robot market in the North America region. Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure Continued…. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/construction-robot-market-6305 List of Tables Table1 Global Construction Robot Market By Country, 2020–2027 Table2 North America Construction Robot Market, By Country, 2020–2027 Table3 Europe Construction Robot Market By Country, 2020–2027 Continued… List of Figures FIGURE 1 Global Construction Robot Market Segmentation FIGURE 2 Forecast Methodology FIGURE 3 Porter’s Five Forces Analysis Of Global Construction Robot Market Continued… Similar Report B2B Telecommunication Market Information by Solution (Unified Communication and Collaboration), Deployment (Fixed, Mobile), Organization Size (Large, Enterprise), Application (Industrial, Commercial) and regions Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future Market Research Future (MRFR) has created a niche in the world of market research. It is counted among the top market research companies that offer well-researched and updated market research reports and insights to businesses of all sizes. What sets us apart is our super-responsive team that offers quality work keeping clients abridged of the prospective challenges and opportunities in various markets. Our team is adept in their space as well as patiently listens to every client. The best part is they know their work inside out and possess the expertise to guide the client in the right direction and achieve results on a tight deadline. We are a one-stop solution for all your data research needs. Our team does not believe in the “one size fits all” approach to creating a report that is detailed and concise. We handle 13 industry verticals including Healthcare, Chemicals and Materials, Information and Communications Technology, Semiconductor and Electronics, Energy and Power, Food, Beverages Nutrition, Automobile, Consumer and Retail, Aerospace and Defense, Industrial Automation and Equipment, Packaging Transport, Construction, and Agriculture. With our unique approach for every market report, we aim to reach the zenith in qualitative business intelligence and syndicated market research. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Electrical Computer-Aided Design Market Overview The Global Electrical Computer Aided Design Market Share is expected to reach USD 2860.3 Million by 2024 at a CAGR of 9.22% during the forecast period. Market Research Future (MRFR) in its report envelops segmentations and drivers to provide a better glimpse of the market in the coming years. Cloud computing is a driving force for the designing field, as it enables designers to access tools and collaborate with their teams over a single platform to make informed decisions during the designing stage. According to a Worldwide CAD Trends 2016 survey conducted by Business Advantage, the use of cloud-based CAD is likely to go up to 29% over the next three to five years. However, the piracy of ECAD software is a major factor limiting the growth of the global electrical computer-aided design (ECAD) market. Increasing use of cloud-based ECAD tools and increasing demand for automation in process industries such as oil gas and manufacturing are contributing to the growth of the global electrical computer-aided design (ECAD) market. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/8235 Competitive Analysis The key players of the global electrical computer-aided design (ECAD) market are Dassault Systèmes SE (France), EPLAN Software Service (Germany), Siemens AG (Germany), Autodesk, Inc. (US), Trimble, Inc. (US), Bentley Systems, Inc. (US), Nemetschek SE (Germany), IGE+XAO (France), and ALPI International Software (France), among others. In January 2019, Trimble launched the latest version of its architectural modeling software—SketchUp Pro 2019. The product has layers with dashed lines which allow simplifying drawings with effective communication. In February 2017, IGE+XAO Group opened a new subsidiary in India—IGE+XAO INDIA Private Limited—to enhance its distribution capabilities. This subsidiary distributes IGE+XAO Electrical CAD, PLM, and simulation software for the rapidly expanding Indian market. Segmental Analysis The global electrical computer-aided design (ECAD) market has been segmented based on component, industry type, application, vertical, and region. Based on component, the market has been classified as software and services (support, training, and maintenance). The software segment accounted for the largest market share in 2018; the services segment is expected to register the highest CAGR during the forecast period. Electrical Computer Aided Design Market Share is a real-time standalone, easy-to-use, multi-user electrical design tool that helps in efficiently defining the electrical interconnections for complex electrical systems. Various organizations provide a range of ECAD support services to provide insights into, and detailed information about the entire ECAD software system. Training service providers offer online training, customized classes, classroom, and on-site training, and one-day training classes to end users. The regular maintenance of ECAD software prevents unwanted downtime and proves critical to maintaining a smooth-running facility. Maintenance services help organizations to support the work efficiency of software on a timely basis. Based on industry type, the market has been classified as process industry and discrete industry. The discrete industry segment accounted for the largest market share in 2018, with a market value of USD 1,192.7 million; it is expected to register the highest CAGR during the forecast period. The discrete industry involves the production of whole equipment or parts/components; ECAD is required to create and modify the design of an equipment manufacturing process. Various software providers, such as Autodesk, offer ECAD software solutions and for discrete product manufacturing. The solutions provide 3D model designing, engineering, data management, and process management. The implementation of software in process industry enhances productivity, which saves time and minimizes errors in implementation planning. Different process industries require a different set of ECAD features and capabilities that vary as per the industry requirements. The adoption of ECAD is expected to grow significantly in the process industry during the forecast period. Based on application, the market has been classified as industrial machine controls, plant design, mining equipment control, rail signaling, switchgear design, water treatment and distribution system control, and others. The industrial machine controls segment accounted for the largest market share in 2018, while the water treatment and distribution system control segment is expected to register the highest CAGR during the forecast period. Machine control helps in increasing productivity, reducing costs, and improving ease-of-use. Industrial machines are custom designed for their specific purpose and are optimized for throughput, precision, and availability. A plant layout largely impacts the total operation of a company which includes the production processes, equipment, storage, and dispatch. Signaling is one of the important components of railway network design, as the control and management of trains depend on signals for safer train movement. ECAD software is used in rail signaling to perform tasks such as modifying existing interlockings or creating new ones, editing of interlockings, making wiring schematics, generating wiring schedules and tables and tables linked to schematics automatically, creating rack layouts linked to schematics, and auto-generation of plans and documentation. The ECAD software covers the entire range of services in designing switchgear, which includes mounting layout in 3D, using the virtual wiring of the components to the individual design and adaptation of copper bars for flexible power distribution systems. In a water treatment plant, there are various electrical tasks performed, such as design and build of integrated power and control solutions. It is essential that the electrical network of a water treatment plant is in line with the required processing quality of the plant so that it can operate using optimal energy and reduced cost. Regional Analysis The global electrical computer-aided design (ECAD) market, by region, has been segmented into Asia-Pacific, North America, Europe, and the rest of the world. North America is expected to dominate the global electrical computer-aided design (ECAD) market during the forecast period due to the increasing number of process and discrete industries and high investments in industrial manufacturing in the region. Access Report Details @ https //www.marketresearchfuture.com/reports/electrical-computer-aided-design-market-8235 Table of Content 1 Executive Summary 2 Market Introduction 2.1 Definition 17 2.2 Product Considered 17 2.3 Scope of The Study 18 2.4 Market Structure 19 Continued…. List of Tables Table 1 List of Assumptions 26 Table 2 Global Electrical Computer-Aided Design (Ecad) Market, By Component, 2020–2027 (Usd Million) 35 Table 3 Software Electrical Computer-Aided Design (Ecad) Market Estimates Forecast, By Region 36 Table 4 Global Electrical Computer-Aided Design (Ecad) Market, By Services, 2020–2027 (Usd Million) 36 Table 5 Support Electrical Computer-Aided Design (Ecad) Market Estimates Forecast, By Region 37 Continued….. Trending Research Report** Internet of Things Market https //writeonwall.com/internet-of-things-market-growth-key-players-with-product-particulars-applications-future-trend-business-growth-market-size-key-players-update-business-statistics-and-forecast-till-2030/ B2B Telecommunication Market https //ict268262635.wordpress.com/2022/04/06/b2b-telecommunication-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ Passport Reader Market https //ict268262635.wordpress.com/2022/04/06/passport-reader-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ Antivirus Software Market https //ict268262635.wordpress.com/2022/04/06/geospatial-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ Cash Management System Market https //www.scutify.com/articles/2022-04-18-cash-management-system-market-size-receives-a-rapid-boost-in-economy-due-to-high-emerging-demands List of Figures Figure 1 Market Synopsis 16 Figure 2 Market Structure Global Electrical Computer-Aided Design (Ecad) Market 19 Figure 3 North America Market Size Market Share By Country (2020 Vs 2027) 20 Figure 4 Asia-Pacific Market Size Market Share By Country (2020 Vs 2027) 20 Figure 5 Europe Market Size Market Share By Country (2020 Vs 2027) 21 Continued…. About Market Research Future At Market Research Future (MRFR), we enable our clients to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by Solutions, Application, Logistics and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions. Contact Market Research Future Office No. 528, Amanora Chambers Magarpatta Road, Hadapsar, Pune – 411028 Maharashtra, India 1 646 845 9312 Email sales@marketresearchfuture.com #market #research #industry #data #report #share #digital #gnews Plugin Error キーワードを入力してください。 #trend #future #analyis #industryreport #industrygrowth #demographic #strategy #manegment Published Similar Report https //find24.info/blockchain-technology-uses-and-benefits/ https //www.letsdiscussonline.com/hot-articles/an-inside-perspective-on-b2b-telecommunications/ https //www.ourmarkethub.com/telecom-expense-management/ https //planetstoryline.com/global-digital-business-card-market/ https //dailytechtime.com/fiber-optics-is-widespread-across-the-globe-know-why/ https //www.coinideology.com/digital-marketing-software https //www.techtually.com/osint-integration-in-agencies/ https //bronzereview.com/some-interesting-facts-about-cloud-manufacturing/ https //techmodena.com/mobile-phones/antivirus-software/ https //evodix.com/top-5-reasons-why-companies-are-switching-over-to-cloud-database-from-traditional-server-storage/ https //factifying.com/artificial-intelligence-in-retail/
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【登録タグ A Nana Takahashi Romantic Children SOUND HOLIC プラスチックマインド 怪 -KAI- 曲】 【注意】 現在、このページはJavaScriptの利用が一時制限されています。この表示状態ではトラック情報が正しく表示されません。 この問題は、以下のいずれかが原因となっています。 ページがAMP表示となっている ウィキ内検索からページを表示している これを解決するには、こちらをクリックし、ページを通常表示にしてください。 /** General styling **/ @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight 350; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/10/NotoSansCJKjp-DemiLight.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/9/NotoSansCJKjp-DemiLight.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/8/NotoSansCJKjp-DemiLight.ttf) format( truetype ); } @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight bold; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/13/NotoSansCJKjp-Medium.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/12/NotoSansCJKjp-Medium.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/11/NotoSansCJKjp-Medium.ttf) format( truetype ); 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概要 DJコントローラー。 Controller Edition Traktor Pro 2用に最適化されたDJコントローラー。1台で最大4台のデッキをコントロール可能。 +スペック表・Controller Edition TECHNICAL DATA Transport section Designated buttons for play, cue, cup, sync and shift Jog Wheel modes 4 jog wheel modes for scratch, pitch bend, search and track selection Hot cue/loop section 4 especially large hot-cue buttons for quick access of cue points 2 buttons for easy save delete 2 banks for access of up to 8 cue points Beat loop section Encoders for length and position of loops 2 buttons for auto loop, manual loop and reloop Advanced functions Potentiometer for filter and pan functions 2 buttons for beat and grid functions Effect section 4 encoders with feedback LEDs for effect control 4 mini faders for all parameters 4 effect buttons for activation Master section Effect slot buttons Large trax push-encoder Deck-switch system for easy selection of up to 4 virtual players Dimensions 160 x 63.35 x 376 mm Weight 1.8 kg Incl. Traktor LE DJ software USB cord 価格 €99 CONTOUR CE http //www.reloop.com/reloop-contour-controller-edition Interface Edition Controller Editionに10chのオーディオインターフェイスが搭載されたバージョン。 +スペック表・Interface Edition TECHNICAL DATA Transport section Designated buttons for play, cue, cup, sync and shift Jog Wheel modes 4 jog wheel modes for scratch, pitch bend, search and track selection Hot cue/loop section 4 especially large hot-cue buttons for quick access of cue points 2 buttons for easy save delete 2 banks for access of up to 8 cue points Beat loop section Encoders for length and position of loops 2 buttons for auto loop, manual loop and reloop Advanced functions Potentiometer for filter and pan functions 2 buttons for beat and grid functions Effect section 4 encoders with feedback LEDs for effect control 4 mini faders for all parameters 4 effect buttons for activation Master section Effect slot buttons Large trax push-encoder Deck-switch system for easy selection of up to 4 virtual players Minimum system requirements PC Windows XP (SP3), Win7 (32 bit/64 bit) at least Pentium III / Intel Core Duo, 1 GHz (NO AMD processors recommended!) at least 512 MB RAM Minimum system requirements Mac OS X 10.5/10.6 Intel Core Duo family (only Intel MACs) at least 512 MB RAM Dimensions 160 x 63.35 x 382.65 mm Weight 2.0 kg Incl. Traktor LE DJ software and USB cord 価格 €149 CONTOUR Interface Edition http //www.reloop.com/reloop-contour-interface-edition
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【登録タグ Dummy S あゆ イオシス プレインエイジア 曲 東方萃翠酒酔】 【注意】 現在、このページはJavaScriptの利用が一時制限されています。この表示状態ではトラック情報が正しく表示されません。 この問題は、以下のいずれかが原因となっています。 ページがAMP表示となっている ウィキ内検索からページを表示している これを解決するには、こちらをクリックし、ページを通常表示にしてください。 /** General styling **/ @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight 350; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/10/NotoSansCJKjp-DemiLight.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/9/NotoSansCJKjp-DemiLight.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/8/NotoSansCJKjp-DemiLight.ttf) format( truetype ); } @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight bold; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/13/NotoSansCJKjp-Medium.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/12/NotoSansCJKjp-Medium.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/11/NotoSansCJKjp-Medium.ttf) format( truetype ); } rt { font-family Arial, Verdana, Helvetica, sans-serif; } /** Main table styling **/ #trackinfo, #lyrics { font-family Noto Sans JP , sans-serif; font-weight 350; } .track_number { font-family Rockwell; font-weight bold; } .track_number after { content . ; } #track_args, .amp_text { display none; } #trackinfo { position relative; float right; margin 0 0 1em 1em; padding 0.3em; width 320px; border-collapse separate; border-radius 5px; border-spacing 0; background-color #F9F9F9; font-size 90%; line-height 1.4em; } #trackinfo th { white-space nowrap; } #trackinfo th, #trackinfo td { border none !important; } #trackinfo thead th { background-color #D8D8D8; box-shadow 0 -3px #F9F9F9 inset; padding 4px 2.5em 7px; white-space normal; font-size 120%; text-align center; } .trackrow { background-color #F0F0F0; box-shadow 0 2px #F9F9F9 inset, 0 -2px #F9F9F9 inset; } #trackinfo td ul { margin 0; padding 0; list-style none; } #trackinfo li { line-height 16px; } #trackinfo li nth-of-type(n+2) { margin-top 6px; } #trackinfo dl { margin 0; } #trackinfo dt { font-size small; font-weight bold; } #trackinfo dd { margin-left 1.2em; } #trackinfo dd + dt { margin-top .5em; } #trackinfo_help { position absolute; top 3px; right 8px; font-size 80%; } /** Media styling **/ #trackinfo .media th { background-color #D8D8D8; padding 4px 0; font-size 95%; text-align center; } .media td { padding 0 2px; } .media iframe nth-of-type(n+2) { margin-top 0.3em; } .youtube + .nicovideo, .youtube + .soundcloud, .nicovideo + .soundcloud { margin-top 0.75em; } .media_section { display flex; align-items center; text-align center; } .media_section before, .media_section after { display block; flex-grow 1; content ; height 1px; } .media_section before { margin-right 0.5em; background linear-gradient(-90deg, #888, transparent); } .media_section after { margin-left 0.5em; background linear-gradient(90deg, #888, transparent); } .media_notice { color firebrick; font-size 77.5%; } /** Around track styling **/ .next-track { float right; } /** Infomation styling **/ #trackinfo .info_header th { padding .3em .5em; background-color #D8D8D8; font-size 95%; } #trackinfo .infomation_show_btn_wrapper { float right; font-size 12px; user-select none; } #trackinfo .infomation_show_btn { cursor pointer; } #trackinfo .info_content td { padding 0 0 0 5px; height 0; transition .3s; } #trackinfo .info_content ul { padding 0; margin 0; max-height 0; list-style initial; transition .3s; } #trackinfo .info_content li { opacity 0; visibility hidden; margin 0 0 0 1.5em; transition .3s, opacity .2s; } #trackinfo .info_content.infomation_show td { padding 5px; height 100%; } #trackinfo .info_content.infomation_show ul { padding 5px 0; max-height 50em; } #trackinfo .info_content.infomation_show li { opacity 1; visibility visible; } #trackinfo .info_content.infomation_show li nth-of-type(n+2) { margin-top 10px; } /** Lyrics styling **/ #lyrics { font-size 1.06em; line-height 1.6em; } .not_in_card, .inaudible { display inline; position relative; } .not_in_card { border-bottom dashed 1px #D0D0D0; } .tooltip { display flex; visibility hidden; position absolute; top -42.5px; left 0; width 275px; min-height 20px; max-height 100px; padding 10px; border-radius 5px; background-color #555; align-items center; color #FFF; font-size 85%; line-height 20px; text-align center; white-space nowrap; opacity 0; transition 0.7s; -webkit-user-select none; -moz-user-select none; -ms-user-select none; user-select none; } .inaudible .tooltip { top -68.5px; } span hover + .tooltip { visibility visible; top -47.5px; opacity 0.8; transition 0.3s; } .inaudible span hover + .tooltip { top -73.5px; } .not_in_card span.hide { top -42.5px; opacity 0; transition 0.7s; } .inaudible .img { display inline-block; width 3.45em; height 1.25em; margin-right 4px; margin-bottom -3.5px; margin-left 4px; background-image url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2971/7/Inaudible.png); background-size contain; background-repeat no-repeat; } .not_in_card after, .inaudible .img after { content ; visibility hidden; position absolute; top -8.5px; left 42.5%; border-width 5px; border-style solid; border-color #555 transparent transparent transparent; opacity 0; transition 0.7s; } .not_in_card hover after, .inaudible .img hover after { content ; visibility visible; top -13.5px; left 42.5%; opacity 0.8; transition 0.3s; } .not_in_card after { top -2.5px; left 50%; } .not_in_card hover after { top -7.5px; left 50%; } .not_in_card.hide after { visibility hidden; top -2.5px; opacity 0; transition 0.7s; } /** For mobile device styling **/ .uk-overflow-container { display inline; } #trackinfo.mobile { display table; float none; width 100%; margin auto; margin-bottom 1em; } #trackinfo.mobile th { text-transform none; } #trackinfo.mobile tbody tr not(.media) th { text-align left; background-color unset; } #trackinfo.mobile td { white-space normal; } document.addEventListener( DOMContentLoaded , function() { use strict ; const headers = { title アルバム別曲名 , album アルバム , circle サークル , vocal Vocal , lyric Lyric , chorus Chorus , narrator Narration , rap Rap , voice Voice , whistle Whistle (口笛) , translate Translation (翻訳) , arrange Arrange , artist Artist , bass Bass , cajon Cajon (カホン) , drum Drum , guitar Guitar , keyboard Keyboard , mc MC , mix Mix , piano Piano , sax Sax , strings Strings , synthesizer Synthesizer , trumpet Trumpet , violin Violin , original 原曲 , image_song イメージ曲 }; const rPagename = /(?=^|.*
https://w.atwiki.jp/alphaomega/pages/61.html
youtube-dl - youtube.comやその他の動画プラットフォームから動画をダウンロードする INSTALLATION DESCRIPTION OPTIONS CONFIGURATION OUTPUT TEMPLATE FORMAT SELECTION VIDEO SELECTION FAQ DEVELOPER INSTRUCTIONS EMBEDDING YOUTUBE-DL BUGS COPYRIGHT INSTALLATION To install it right away for all UNIX users (Linux, macOS, etc.), type sudo curl -L https //yt-dl.org/downloads/latest/youtube-dl -o /usr/local/bin/youtube-dl sudo chmod a+rx /usr/local/bin/youtube-dl If you do not have curl, you can alternatively use a recent wget sudo wget https //yt-dl.org/downloads/latest/youtube-dl -O /usr/local/bin/youtube-dl sudo chmod a+rx /usr/local/bin/youtube-dl Windows users can download an .exe file and place it in any location on their PATH except for %SYSTEMROOT%\System32 (e.g. do not put in C \Windows\System32). You can also use pip sudo -H pip install --upgrade youtube-dl This command will update youtube-dl if you have already installed it. See the pypi page for more information. macOS users can install youtube-dl with Homebrew brew install youtube-dl Or with MacPorts sudo port install youtube-dl Alternatively, refer to the developer instructions for how to check out and work with the git repository. For further options, including PGP signatures, see the youtube-dl Download Page. DESCRIPTION youtube-dl is a command-line program to download videos from YouTube.com and a few more sites. It requires the Python interpreter, version 2.6, 2.7, or 3.2+, and it is not platform specific. It should work on your Unix box, on Windows or on macOS. It is released to the public domain, which means you can modify it, redistribute it or use it however you like. youtube-dl [OPTIONS] URL [URL...] OPTIONS -h, --help これのヘルプテキストを出力して終了する --version プログラムのバージョンを出力して終了する -U, --update このプログラムを最新バージョンに更新する。 十分な権限があることを確認してください (必要なら sudo 付きで実行します) -i, --ignore-errors 再生リストで利用できない動画をスキップするなど、ダウンロードエラーでも続行します --abort-on-error エラーが発生した場合、それ以上の(プレイリストまたはコマンドライン内の)動画のダウンロードを中止する --dump-user-agent 現在のブラウザIDを表示しま --list-extractors すべてのサポートされている抽出機能を一覧表示する --extractor-descriptions すべてのサポートされている抽出機能の説明を表示する --force-generic-extractor 抽出に汎用の抽出機能を強制的に使用する --default-search PREFIX 不適切なURLのためにこのプレフィックスを使用します。 For example gvsearch2 downloads two videos from google videos for youtube-dl large apple . 値 auto を使用してyoutube-dlに推測させます ( auto_warning to emit a warning when guessing). error は単にエラーを投げます。 デフォルト値 fixup_error は壊れたURLを修復しますが、これが不可能である場合は検索の代わりにエラーを発生させます。 --ignore-config 設定ファイルを読み取らない。 グローバル設定ファイル /etc/youtube-dl.conf が与えられている場合 ~/.config/youtube-dl/config (Windows では %APPDATA%/youtube-dl/config.txt) のユーザー設定を読み取らない --config-location PATH 設定ファイルの位置; 設定へのパスまたはそれを含むディレクトリ。 --flat-playlist プレイリストの動画は抽出せず、一覧表示するだけ。 --mark-watched 視聴した動画をマークする (YouTubeのみ) --no-mark-watched 視聴した動画をマークしない (YouTubeのみ) --no-color Do not emit color codes in output Network Options --proxy URL 指定された HTTP/HTTPS/SOCKS プロキシを使用する。 SOCKS プロキシを有効にするには、適切なスキームを指定します。 たとえば socks5 //127.0.0.1 1080/ 。 直接接続の場合は空文字列 (--proxy ) を渡します --socket-timeout SECONDS Time to wait before giving up, in seconds --source-address IP Client-side IP address to bind to -4, --force-ipv4 IPv4経由ですべての接続を確立する -6, --force-ipv6 IPv6経由ですべての接続を確立する Geo Restriction --geo-verification-proxy URL このプロキシを使用して、一部の地理的に制限されたサイトのIPアドレスを確認します。 実際のダウンロードには、-proxyで指定されたデフォルトのプロキシ（オプションが存在しない場合はnone）が使用されます。 --geo-bypass X-Forwarded-For HTTP ヘッダーの偽造により地理的制限を回避する --no-geo-bypass X-Forwarded-For HTTP ヘッダーの偽造により地理的制限を回避しない --geo-bypass-country CODE 明示的に提供された2文字の ISO 3166-2 国コード で地理的制限を強制的に回避する --geo-bypass-ip-block IP_BLOCK CIDR記法で明示的に提供されたIPブロックで地理的制限を強制的に回避する Video Selection --playlist-start NUMBER Playlist video to start at (default is 1) --playlist-end NUMBER Playlist video to end at (default is last) --playlist-items ITEM_SPEC ダウンロードするプレイリストの動画アイテム。 プレイリスト内の 1,2,5,8 でインデックスされた動画をダウンロードしたい場合は、 --playlist-items 1,2,5,8 のように、プレイリスト内の動画のインデックスをカンマで区切って指定します。 範囲を指定できます --playlist-items 1-3,7,10-13 , これはインデックス 1,2,3,7,10,11,12,13 の動画をダウンロードします。 --match-title REGEX 一致するタイトルのみをダウンロード (正規表現または大文字と小文字を区別しない部分文字列) --reject-title REGEX 一致するタイトルのダウンロードをスキップ (正規表現または大文字と小文字を区別しない部分文字列) --max-downloads NUMBER NUMBER 個のファイルをダウンロード後に中止 --min-filesize SIZE SIZE (50k や 44.6m など) より小さい任意の動画はダウンロードしない --max-filesize SIZE SIZE (50k や 44.6m など) より大きい任意の動画はダウンロードしない --date DATE この日付にアップロードされた動画のみダウンロード --datebefore DATE この日付にもしくは前に (即ち包括的) アップロードされた動画のみをダウンロード --dateafter DATE この日付にもしくは後に (即ち包括的) アップロードされた動画のみをダウンロード --min-views COUNT 再生回数 COUNT 未満の任意の動画はダウンロードしない --max-views COUNT 再生回数 COUNT 超過の任意の動画はダウンロードしない --match-filter FILTER ジェネリックビデオフィルター。 キーが存在する場合に一致する任意のキー(使用可能なキーのリストについては、 OUTPUT TEMPLATE を参照してください。)を指定し、!keyを指定してキーが存在しないかどうかを確認し、key NUMBER ( comment_count 12 のように、 =, , =,!=,=でも機能します)を指定して数値と比較し、key= LITERAL ( uploader = Mike Smith のように、!=でも機能します)を指定して文字列リテラルと一致させます。 --no-playlist URLが動画とプレイリストを参照している場合は、動画のみをダウンロードする。 --yes-playlist URLが動画とプレイリストを参照している場合は、プレイリストをダウンロードする。 --age-limit YEARS 特定の年齢に適した動画のみをダウンロードする --download-archive FILE アーカイブファイルにリストされていない動画のみダウンロードする。 そこにすべてのダウンロードされた動画のIDを記録する。 --include-ads 広告もダウンロードする (実験的) Download Options -r, --limit-rate RATE バイト毎秒単位の最大ダウンロード速度 (例 50K や 4.2M) -R, --retries RETRIES 再試行回数(デフォルトは10)、または infinite 。 --fragment-retries RETRIES フラグメントの再試行回数(デフォルトは10)、または infinite (DASH, hlsnative および ISM) --skip-unavailable-fragments 利用できないフラグメントをスキップする (DASH, hlsnative および ISM) --abort-on-unavailable-fragment 一部のフラグメントが利用可能でない場合、ダウンロードを中止する --keep-fragments ダウンロードが終了した後ディスクにダウンロードされたフラグメントを保つ; フラグメントはデフォルトで消去されます --buffer-size SIZE ダウンロードバッファのサイズ (例 1024 や 16K) (デフォルトは1024) --no-resize-buffer バッファサイズを自動的に調節しない。 デフォルトでは、バッファサイズはSIZEの初期値から自動的にリサイズされます。 --http-chunk-size SIZE チャンクベースのHTTPダウンロード用のチャンクのサイズ (例 10485760 または 10M) (デフォルトでは無効)。 Webサーバーによって課せられる帯域幅調整をバイパスするのに役立つ場合があります（実験的） --playlist-reverse プレイリストの動画を逆順でダウンロードする --playlist-random プレイリストの動画を乱順でダウンロードする --xattr-set-filesize 予想されるファイルサイズで file xattribute ytdl.filesize を設定します --hls-prefer-native ffmpegの代わりにネイティブHLSダウンローダーを使用する --hls-prefer-ffmpeg ネイティブHLSダウンローダーの代わりにffmpegを使用する --hls-use-mpegts HLSビデオのmpegtsコンテナーを使用して、ダウンロード中にビデオを再生できるようにします（一部のプレーヤーはビデオを再生できない場合があります） --external-downloader COMMAND 指定された外部ダウンローダーを使用する。 現在 aria2c,avconv,axel,curl,ffmpeg,httpie,wget をサポート --external-downloader-args ARGS これらの引数を外部ダウンローダーに与える Filesystem Options -a, --batch-file FILE ダウンロードするURLを含むファイル(stdin の場合は - )、行あたり1URL。 # , ; , ] で始まる行はコメントと見なされ無視されます。 --id ファイル名にはビデオIDのみ使用する -o, --output TEMPLATE Output filename template, see the OUTPUT TEMPLATE for all the info --autonumber-start NUMBER Specify the start value for %(autonumber)s (default is 1) --restrict-filenames ファイル名をASCII文字のみに制限し、ファイル名で ＆ と空白を避ける -w, --no-overwrites ファイルを上書きしない -c, --continue 部分的にダウンロードされたファイルを強制的に再開する。 デフォルトでは、youtube-dlは可能であればダウンロードを再開する。 --no-continue 部分的にダウンロードされたファイルを再開しない (最初から再開) --no-part .partファイルを使用しない - 出力ファイルに直接書き込む --no-mtime Do not use the Last-modified header to set the file modification time --write-description ビデオの説明を.descriptionファイルに書き込む --write-info-json ビデオメタデータを.info.jsonファイルに書き込む --write-annotations ビデオ注釈を.annotations.xmlファイルに書き込む --load-info-json FILE JSON file containing the video information (created with the --write-info-json option) --cookies FILE File to read cookies from and dump cookie jar in --cache-dir DIR youtube-dlがいくらかのダウンロードされた情報を永続的に格納できるファイルシステム内の位置。 デフォルトでは $XDG_CACHE_HOME/youtube-dl または ~/.cache/youtube-dl 。 At the moment, only YouTube player files (for videos with obfuscated signatures) are cached, but that may change. --no-cache-dir ファイルシステムのキャッシュを無効にする --rm-cache-dir すべてのファイルシステムキャッシュファイルを削除する Thumbnail images --write-thumbnail サムネイル画像をディスクへ書き込む --write-all-thumbnails すべてのサムネイル画像形式をディスクへ書き込む --list-thumbnails すべての利用可能なサムネイル形式をシミュレートして一覧表示する Verbosity / Simulation Options -q, --quiet Activate quiet mode --no-warnings 警告を無視する -s, --simulate ビデオをダウンロードせずディスクへ何も書き込まない --skip-download ビデオをダウンロードしない -g, --get-url Simulate, quiet but print URL -e, --get-title Simulate, quiet but print title --get-id Simulate, quiet but print id --get-thumbnail Simulate, quiet but print thumbnail URL --get-description Simulate, quiet but print video description --get-duration Simulate, quiet but print video length --get-filename Simulate, quiet but print output filename --get-format Simulate, quiet but print output format -j, --dump-json Simulate, quiet but print JSON information. See the OUTPUT TEMPLATE for a description of available keys. -J, --dump-single-json Simulate, quiet but print JSON information for each command-line argument. If the URL refers to a playlist, dump the whole playlist information in a single line. --print-json Be quiet and print the video information as JSON (video is still being downloaded). --newline Output progress bar as new lines --no-progress プログレスバーを出力しない --console-title Display progress in console titlebar -v, --verbose さまざまなデバッグ情報を出力する --dump-pages 問題をデバッグするためにbase64を使用してエンコードされたダウンロードされたページを出力する (非常に詳細) --write-pages 問題をデバッグするためにダウンロードされた中間ページを現在のディレクトリのファイルへ書き込む --print-traffic 送受信されたHTTPトラフィックを表示する -C, --call-home デバッグのためにyoutube-dlサーバーに連絡する --no-call-home デバッグのためにyoutube-dlサーバーに連絡しない Workarounds --encoding ENCODING 指定されたエンコーディングを強制する (実験的) --no-check-certificate HTTPS証明書の検証を抑制する --prefer-insecure 動画に関する情報を取得するために、暗号化されていない接続を使用する。 (現在はYouTubeでのみサポートされています) --user-agent UA カスタムユーザーエージェントを指定する --referer URL カスタムリファラーを指定する、ビデオアクセスが1つのドメインに制限されている場合に使用します --add-header FIELD VALUE コロン で区切られた、カスタムHTTPヘッダーとその値を指定する。 このオプションは複数回使用できます --bidi-workaround Work around terminals that lack bidirectional text support. Requires bidiv or fribidi executable in PATH --sleep-interval SECONDS Number of seconds to sleep before each download when used alone or a lower bound of a range for randomized sleep before each download (minimum possible number of seconds to sleep) when used along with --max-sleep-interval. --max-sleep-interval SECONDS Upper bound of a range for randomized sleep before each download (maximum possible number of seconds to sleep). Must only be used along with --min-sleep-interval. Video Format Options -f, --format FORMAT ビデオフォーマットコード、すべての情報については FORMAT SELECTION を参照してください --all-formats すべての利用可能なビデオ形式をダウンロードする --prefer-free-formats 特定の形式が要求されない限り無料のビデオ形式を優先する -F, --list-formats リクエストされた動画のすべての利用可能なフォーマットをリストする --youtube-skip-dash-manifest Do not download the DASH manifests and related data on YouTube videos --merge-output-format FORMAT マージが必要な場合(例 bestvideo+bestaudio)、与えられたコンテナー形式に出力します。 mkv,mp4,ogg,webm,flv のいずれか。 マージが不要な場合は無視されます Subtitle Options --write-sub 字幕ファイルを書き込む --write-auto-sub 自動生成された字幕ファイルを書き込む (YouTubeのみ) --all-subs ビデオのすべての利用可能な字幕をダウンロードする --list-subs ビデオのすべての利用可能な字幕をリストする --sub-format FORMAT Subtitle format, accepts formats preference, for example srt or ass/srt/best --sub-lang LANGS Languages of the subtitles to download (optional) separated by commas, use --list- subs for available language tags Authentication Options -u, --username USERNAME このアカウントIDでログインする -p, --password PASSWORD アカウントパスワード。 このオプションを省略した場合、youtube-dlは対話的に尋ねます。 -2, --twofactor TWOFACTOR 二要素認証コード -n, --netrc Use .netrc authentication data --video-password PASSWORD Video password (vimeo, smotri, youku) Adobe Pass Options --ap-mso MSO Adobe Pass multiple-system operator (TV provider) identifier, use --ap-list-mso for a list of available MSOs --ap-username USERNAME Multiple-system operator account login --ap-password PASSWORD Multiple-system operator account password. If this option is left out, youtube-dl will ask interactively. --ap-list-mso List all supported multiple-system operators Post-processing Options -x, --extract-audio ビデオファイルをオーディオのみのファイルに変換する (ffmpegまたはavconvおよびffprobeまたはavprobeが必要です) --audio-format FORMAT オーディオ形式を指定 best , aac , flac , mp3 , m4a , opus , vorbis , または wav ; デフォルトでは best ; -xなしでは効果なし --audio-quality QUALITY Specify ffmpeg/avconv audio quality, insert a value between 0 (better) and 9 (worse) for VBR or a specific bitrate like 128K (default 5) --recode-video FORMAT 必要に応じて、ビデオを別の形式にエンコードします (現在サポートされているもの mp4|flv|ogg|webm|mkv|avi) --postprocessor-args ARGS Give these arguments to the postprocessor -k, --keep-video Keep the video file on disk after the post- processing; the video is erased by default --no-post-overwrites Do not overwrite post-processed files; the post-processed files are overwritten by default --embed-subs Embed subtitles in the video (only for mp4, webm and mkv videos) --embed-thumbnail Embed thumbnail in the audio as cover art --add-metadata Write metadata to the video file --metadata-from-title FORMAT Parse additional metadata like song title / artist from the video title. The format syntax is the same as --output. Regular expression with named capture groups may also be used. The parsed parameters replace existing values. Example --metadata-from- title %(artist)s - %(title)s matches a title like Coldplay - Paradise . Example (regex) --metadata-from-title (?P artist .+?) - (?P title .+) --xattrs Write metadata to the video file s xattrs (using dublin core and xdg standards) --fixup POLICY Automatically correct known faults of the file. One of never (do nothing), warn (only emit a warning), detect_or_warn (the default; fix file if we can, warn otherwise) --prefer-avconv Prefer avconv over ffmpeg for running the postprocessors --prefer-ffmpeg Prefer ffmpeg over avconv for running the postprocessors (default) --ffmpeg-location PATH Location of the ffmpeg/avconv binary; either the path to the binary or its containing directory. --exec CMD Execute a command on the file after downloading and post-processing, similar to find s -exec syntax. Example --exec adb push {} /sdcard/Music/ rm {} --convert-subs FORMAT Convert the subtitles to other format (currently supported srt|ass|vtt|lrc) CONFIGURATION 任意のサポートされているコマンドラインオプションを設定ファイルに配置することでyoutube-dlを設定できます。 LinuxおよびmacOSでは、システム全体の設定ファイルは /etc/youtube-dl.conf にありユーザー全体の設定ファイルは ~/.config/youtube-dl/config にあります。 Windowsでは、ユーザー全体の構成ファイルの位置は %APPDATA%\youtube-dl\config.txt または C\Users\ ユーザー名 \youtube-dl.conf です。 Note that by default configuration file may not exist so you may need to create it yourself. For example, with the following configuration file youtube-dl will always extract the audio, not copy the mtime, use a proxy and save all videos under Movies directory in your home directory # #で始まる行はコメントです # 常に音声を抽出する -x # mtimeをコピーしない --no-mtime # このプロキシを使用する --proxy 127.0.0.1 3128 # すべてのビデオをホームディレクトリのムービーディレクトリに保存する -o ~/Movies/%(title)s.%(ext)s Note that options in configuration file are just the same options aka switches used in regular command line calls thus there must be no whitespace after - or --, e.g. -o or --proxy but not - o or -- proxy. You can use --ignore-config if you want to disable the configuration file for a particular youtube-dl run. You can also use --config-location if you want to use custom configuration file for a particular youtube-dl run. .netrc ファイルによる認証 You may also want to configure automatic credentials storage for extractors that support authentication (by providing login and password with --username and --password) in order not to pass credentials as command line arguments on every youtube-dl execution and prevent tracking plain text passwords in the shell command history. You can achieve this using a .netrc file on a per extractor basis. For that you will need to create a .netrc file in your $HOME and restrict permissions to read/write by only you touch $HOME/.netrc chmod a-rwx,u+rw $HOME/.netrc After that you can add credentials for an extractor in the following format, where extractor is the name of the extractor in lowercase machine extractor login login password password For example machine youtube login myaccount@gmail.com password my_youtube_password machine twitch login my_twitch_account_name password my_twitch_password To activate authentication with the .netrc file you should pass --netrc to youtube-dl or place it in the configuration file. On Windows you may also need to setup the %HOME% environment variable manually. For example set HOME=%USERPROFILE% OUTPUT TEMPLATE -o オプションはユーザーが出力ファイル名のためのテンプレートを指定できるようにします。 tl;dr navigate me to examples. 基本的な使い方は、 youtube-dl -o funny_video.flv https //some/video のように単一のファイルをダウンロードするときにテンプレート引数を何も設定しないことです。 ただし、個々のビデオをダウンロードする際に置き換えられる特別なシーケンスをそれに含められます。 特別なシーケンスは、python文字列フォーマット操作に従ってフォーマットできます。 たとえば、 %(NAME)s や %(NAME)05d 。 明確にするために、これはパーセント記号に丸括弧内の名前が続き、フォーマット操作が続きます。 シーケンスタイプとともに使用できる名前は id (string) ビデオ識別子 title (string) ビデオタイトル url (string) ビデオURL ext (string) ビデオの拡張子 alt_title (string) ビデオの二次タイトル display_id (string) ビデオの代替識別子 uploader (string) 動画アップローダーのフルネーム license (string) ビデオがライセンスされているライセンス名 creator (string) ビデオの作成者 release_date (string) ビデオがリリースされた日付(YYYYMMDD) timestamp (numeric) ビデオが利用可能になった瞬間のUNIXタイムスタンプ upload_date (string) 動画のアップロード日(YYYYMMDD) uploader_id (string) 動画アップローダーのニックネームまたはID channel (string) 動画がアップロードされているチャンネルの完全な名前 channel_id (string) チャンネルのID location (string) ビデオが撮影された物理的な場所 duration (numeric) 秒単位のビデオの長さ view_count (numeric) プラットフォームでどれだけのユーザーがビデオを視聴したか like_count (numeric) 動画の肯定的な評価の数 dislike_count (numeric) 動画の否定的な評価の数 repost_count (numeric) ビデオの再投稿の数 average_rating (numeric) ユーザーによる平均評価で、使用される尺度はWebページによる comment_count (numeric) 動画のコメント数 age_limit (numeric) 動画の年齢制限 (年) is_live (boolean) このビデオがライブストリームか固定長ビデオかどうか start_time (numeric) URLで指定されている、再生を開始する時間(秒) end_time (numeric) URLで指定されている、再生を終了する時間(秒) format (string) 形式の人間が読める説明 format_id (string) --format で指定されたフォーマットコード format_note (string) フォーマットに関する追加情報 width (numeric) ビデオの幅 height (numeric) ビデオの高さ resolution (string) 幅と高さのテキストによる説明 tbr (numeric) オーディオとビデオの平均ビットレート (KBit/s) abr (numeric) 平均オーディオビットレート (KBit/s) acodec (string) 使用中のオーディオコーデックの名前 asr (numeric) オーディオサンプリングレート (ヘルツ) vbr (numeric) 平均ビデオビットレート (KBit/s) fps (numeric) フレームレート vcodec (string) 使用中のビデオコーデックの名前 container (string) コンテナ形式の名前 filesize (numeric) 事前にわかっている場合、バイト数 filesize_approx (numeric) バイト数の見積もり protocol (string) 実際のダウンロードに使用されるだろうプロトコル extractor (string) 抽出機能の名前 extractor_key (string) 抽出機能のキー名 epoch (numeric) ファイル作成時のUnixエポック autonumber (numeric) 0から始まり、ダウンロードごとに増える5桁の数字 playlist (string) 動画を含むプレイリストの名前またはID playlist_index (numeric) プレイリストの全長に応じて先行ゼロで詰められたプレイリスト内のビデオのインデックス playlist_id (string) プレイリスト識別子 playlist_title (string) プレイリストのタイトル playlist_uploader (string) プレイリストアップローダーのフルネーム playlist_uploader_id (string) プレイリストアップローダーのニックネームまたはID Available for the video that belongs to some logical chapter or section chapter (string) Name or title of the chapter the video belongs to chapter_number (numeric) Number of the chapter the video belongs to chapter_id (string) Id of the chapter the video belongs to Available for the video that is an episode of some series or programme series (string) Title of the series or programme the video episode belongs to season (string) Title of the season the video episode belongs to season_number (numeric) Number of the season the video episode belongs to season_id (string) Id of the season the video episode belongs to episode (string) Title of the video episode episode_number (numeric) Number of the video episode within a season episode_id (string) Id of the video episode Available for the media that is a track or a part of a music album track (string) Title of the track track_number (numeric) Number of the track within an album or a disc track_id (string) Id of the track artist (string) Artist(s) of the track genre (string) Genre(s) of the track album (string) Title of the album the track belongs to album_type (string) Type of the album album_artist (string) List of all artists appeared on the album disc_number (numeric) Number of the disc or other physical medium the track belongs to release_year (numeric) Year (YYYY) when the album was released Each aforementioned sequence when referenced in an output template will be replaced by the actual value corresponding to the sequence name. Note that some of the sequences are not guaranteed to be present since they depend on the metadata obtained by a particular extractor. Such sequences will be replaced with NA. For example for -o %(title)s-%(id)s.%(ext)s and an mp4 video with title youtube-dl test video and id BaW_jenozKcj, this will result in a youtube-dl test video-BaW_jenozKcj.mp4 file created in the current directory. For numeric sequences you can use numeric related formatting, for example, %(view_count)05d will result in a string with view count padded with zeros up to 5 characters, like in 00042. Output templates can also contain arbitrary hierarchical path, e.g. -o %(playlist)s/%(playlist_index)s - %(title)s.%(ext)s which will result in downloading each video in a directory corresponding to this path template. Any missing directory will be automatically created for you. To use percent literals in an output template use %%. To output to stdout use -o -. The current default template is %(title)s-%(id)s.%(ext)s. In some cases, you don t want special characters such as 中, spaces, or , such as when transferring the downloaded filename to a Windows system or the filename through an 8bit-unsafe channel. In these cases, add the --restrict-filenames flag to get a shorter title Output template and Windows batch files If you are using an output template inside a Windows batch file then you must escape plain percent characters (%) by doubling, so that -o %(title)s-%(id)s.%(ext)s should become -o %%(title)s-%%(id)s.%%(ext)s . However you should not touch % s that are not plain characters, e.g. environment variables for expansion should stay intact -o C \%HOMEPATH%\Desktop\%%(title)s.%%(ext)s . Output template examples Note that on Windows you may need to use double quotes instead of single. $ youtube-dl --get-filename -o %(title)s.%(ext)s BaW_jenozKc youtube-dl test video _ä↭𝕐.mp4 # All kinds of weird characters $ youtube-dl --get-filename -o %(title)s.%(ext)s BaW_jenozKc --restrict-filenames youtube-dl_test_video_.mp4 # A simple file name # Download YouTube playlist videos in separate directory indexed by video order in a playlist $ youtube-dl -o %(playlist)s/%(playlist_index)s - %(title)s.%(ext)s https //www.youtube.com/playlist?list=PLwiyx1dc3P2JR9N8gQaQN_BCvlSlap7re # Download all playlists of YouTube channel/user keeping each playlist in separate directory $ youtube-dl -o %(uploader)s/%(playlist)s/%(playlist_index)s - %(title)s.%(ext)s https //www.youtube.com/user/TheLinuxFoundation/playlists # Download Udemy course keeping each chapter in separate directory under MyVideos directory in your home $ youtube-dl -u user -p password -o ~/MyVideos/%(playlist)s/%(chapter_number)s - %(chapter)s/%(title)s.%(ext)s https //www.udemy.com/java-tutorial/ # Download entire series season keeping each series and each season in separate directory under C /MyVideos $ youtube-dl -o C /MyVideos/%(series)s/%(season_number)s - %(season)s/%(episode_number)s - %(episode)s.%(ext)s https //videomore.ru/kino_v_detalayah/5_sezon/367617 # Stream the video being downloaded to stdout $ youtube-dl -o - BaW_jenozKc FORMAT SELECTION By default youtube-dl tries to download the best available quality, i.e. if you want the best quality you don t need to pass any special options, youtube-dl will guess it for you by default. But sometimes you may want to download in a different format, for example when you are on a slow or intermittent connection. The key mechanism for achieving this is so-called format selection based on which you can explicitly specify desired format, select formats based on some criterion or criteria, setup precedence and much more. The general syntax for format selection is --format FORMAT or shorter -f FORMAT where FORMAT is a selector expression, i.e. an expression that describes format or formats you would like to download. tl;dr navigate me to examples. 最も単純なケースは、特定のフォーマットを要求すること、たとえば -f 22 はフォーマットコードが22に等しいフォーマットをダウンロードできます。 --list-formats または -F を使用して、特定のビデオで利用可能なフォーマットコードのリストを取得できます。 これらのフォーマットコードは抽出機能固有であることに注意してください。 You can also use a file extension (currently 3gp, aac, flv, m4a, mp3, mp4, ogg, wav, webm are supported) to download the best quality format of a particular file extension served as a single file, e.g. -f webm will download the best quality format with the webm extension served as a single file. You can also use special names to select particular edge case formats best Select the best quality format represented by a single file with video and audio. worst Select the worst quality format represented by a single file with video and audio. bestvideo Select the best quality video-only format (e.g. DASH video). May not be available. worstvideo Select the worst quality video-only format. May not be available. bestaudio Select the best quality audio only-format. May not be available. worstaudio Select the worst quality audio only-format. May not be available. For example, to download the worst quality video-only format you can use -f worstvideo. If you want to download multiple videos and they don t have the same formats available, you can specify the order of preference using slashes. Note that slash is left-associative, i.e. formats on the left hand side are preferred, for example -f 22/17/18 will download format 22 if it s available, otherwise it will download format 17 if it s available, otherwise it will download format 18 if it s available, otherwise it will complain that no suitable formats are available for download. If you want to download several formats of the same video use a comma as a separator, e.g. -f 22,17,18 will download all these three formats, of course if they are available. Or a more sophisticated example combined with the precedence feature -f 136/137/mp4/bestvideo,140/m4a/bestaudio. You can also filter the video formats by putting a condition in brackets, as in -f best[height=720] (or -f [filesize 10M] ). The following numeric meta fields can be used with comparisons , =, , =, = (equals), != (not equals) filesize The number of bytes, if known in advance width Width of the video, if known height Height of the video, if known tbr Average bitrate of audio and video in KBit/s abr Average audio bitrate in KBit/s vbr Average video bitrate in KBit/s asr Audio sampling rate in Hertz fps Frame rate Also filtering work for comparisons = (equals), ^= (starts with), $= (ends with), *= (contains) and following string meta fields ext File extension acodec Name of the audio codec in use vcodec Name of the video codec in use container Name of the container format protocol The protocol that will be used for the actual download, lower-case (http, https, rtsp, rtmp, rtmpe, mms, f4m, ism, http_dash_segments, m3u8, or m3u8_native) format_id A short description of the format Any string comparison may be prefixed with negation ! in order to produce an opposite comparison, e.g. !*= (does not contain). Note that none of the aforementioned meta fields are guaranteed to be present since this solely depends on the metadata obtained by particular extractor, i.e. the metadata offered by the video hoster. Formats for which the value is not known are excluded unless you put a question mark (?) after the operator. You can combine format filters, so -f [height =? 720][tbr 500] selects up to 720p videos (or videos where the height is not known) with a bitrate of at least 500 KBit/s. You can merge the video and audio of two formats into a single file using -f video-format + audio-format (requires ffmpeg or avconv installed), for example -f bestvideo+bestaudio will download the best video-only format, the best audio-only format and mux them together with ffmpeg/avconv. Format selectors can also be grouped using parentheses, for example if you want to download the best mp4 and webm formats with a height lower than 480 you can use -f (mp4,webm)[height 480] . Since the end of April 2015 and version 2015.04.26, youtube-dl uses -f bestvideo+bestaudio/best as the default format selection (see #5447, #5456). If ffmpeg or avconv are installed this results in downloading bestvideo and bestaudio separately and muxing them together into a single file giving the best overall quality available. Otherwise it falls back to best and results in downloading the best available quality served as a single file. best is also needed for videos that don t come from YouTube because they don t provide the audio and video in two different files. If you want to only download some DASH formats (for example if you are not interested in getting videos with a resolution higher than 1080p), you can add -f bestvideo[height =?1080]+bestaudio/best to your configuration file. Note that if you use youtube-dl to stream to stdout (and most likely to pipe it to your media player then), i.e. you explicitly specify output template as -o -, youtube-dl still uses -f best format selection in order to start content delivery immediately to your player and not to wait until bestvideo and bestaudio are downloaded and muxed. If you want to preserve the old format selection behavior (prior to youtube-dl 2015.04.26), i.e. you want to download the best available quality media served as a single file, you should explicitly specify your choice with -f best. You may want to add it to the configuration file in order not to type it every time you run youtube-dl. Format selection examples Note that on Windows you may need to use double quotes instead of single. # Download best mp4 format available or any other best if no mp4 available $ youtube-dl -f bestvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best # Download best format available but no better than 480p $ youtube-dl -f bestvideo[height =480]+bestaudio/best[height =480] # Download best video only format but no bigger than 50 MB $ youtube-dl -f best[filesize 50M] # Download best format available via direct link over HTTP/HTTPS protocol $ youtube-dl -f (bestvideo+bestaudio/best)[protocol^=http] # Download the best video format and the best audio format without merging them $ youtube-dl -f bestvideo,bestaudio -o %(title)s.f%(format_id)s.%(ext)s Note that in the last example, an output template is recommended as bestvideo and bestaudio may have the same file name. VIDEO SELECTION Videos can be filtered by their upload date using the options --date, --datebefore or --dateafter. They accept dates in two formats Absolute dates Dates in the format YYYYMMDD. Relative dates Dates in the format (now|today)[+-][0-9](day|week|month|year)(s)? Examples # Download only the videos uploaded in the last 6 months $ youtube-dl --dateafter now-6months # Download only the videos uploaded on January 1, 1970 $ youtube-dl --date 19700101 $ # Download only the videos uploaded in the 200x decade $ youtube-dl --dateafter 20000101 --datebefore 20091231 FAQ How do I update youtube-dl? If you ve followed our manual installation instructions, you can simply run youtube-dl -U (or, on Linux, sudo youtube-dl -U). If you have used pip, a simple sudo pip install -U youtube-dl is sufficient to update. If you have installed youtube-dl using a package manager like apt-get or yum, use the standard system update mechanism to update. Note that distribution packages are often outdated. As a rule of thumb, youtube-dl releases at least once a month, and often weekly or even daily. Simply go to https //yt-dl.org to find out the current version. Unfortunately, there is nothing we youtube-dl developers can do if your distribution serves a really outdated version. You can (and should) complain to your distribution in their bugtracker or support forum. As a last resort, you can also uninstall the version installed by your package manager and follow our manual installation instructions. For that, remove the distribution s package, with a line like sudo apt-get remove -y youtube-dl Afterwards, simply follow our manual installation instructions sudo wget https //yt-dl.org/downloads/latest/youtube-dl -O /usr/local/bin/youtube-dl sudo chmod a+rx /usr/local/bin/youtube-dl hash -r Again, from then on you ll be able to update with sudo youtube-dl -U. youtube-dl is extremely slow to start on Windows Add a file exclusion for youtube-dl.exe in Windows Defender settings. I m getting an error Unable to extract OpenGraph title on YouTube playlists YouTube changed their playlist format in March 2014 and later on, so you ll need at least youtube-dl 2014.07.25 to download all YouTube videos. If you have installed youtube-dl with a package manager, pip, setup.py or a tarball, please use that to update. Note that Ubuntu packages do not seem to get updated anymore. Since we are not affiliated with Ubuntu, there is little we can do. Feel free to report bugs to the Ubuntu packaging people - all they have to do is update the package to a somewhat recent version. See above for a way to update. I m getting an error when trying to use output template error using output template conflicts with using title, video ID or auto number Make sure you are not using -o with any of these options -t, --title, --id, -A or --auto-number set in command line or in a configuration file. Remove the latter if any. Do I always have to pass -citw? By default, youtube-dl intends to have the best options (incidentally, if you have a convincing case that these should be different, please file an issue where you explain that). Therefore, it is unnecessary and sometimes harmful to copy long option strings from webpages. In particular, the only option out of -citw that is regularly useful is -i. Can you please put the -b option back? Most people asking this question are not aware that youtube-dl now defaults to downloading the highest available quality as reported by YouTube, which will be 1080p or 720p in some cases, so you no longer need the -b option. For some specific videos, maybe YouTube does not report them to be available in a specific high quality format you re interested in. In that case, simply request it with the -f option and youtube-dl will try to download it. I get HTTP error 402 when trying to download a video. What s this? Apparently YouTube requires you to pass a CAPTCHA test if you download too much. We re considering to provide a way to let you solve the CAPTCHA, but at the moment, your best course of action is pointing a web browser to the youtube URL, solving the CAPTCHA, and restart youtube-dl. Do I need any other programs? youtube-dl works fine on its own on most sites. However, if you want to convert video/audio, you ll need avconv or ffmpeg. On some sites - most notably YouTube - videos can be retrieved in a higher quality format without sound. youtube-dl will detect whether avconv/ffmpeg is present and automatically pick the best option. Videos or video formats streamed via RTMP protocol can only be downloaded when rtmpdump is installed. Downloading MMS and RTSP videos requires either mplayer or mpv to be installed. I have downloaded a video but how can I play it? Once the video is fully downloaded, use any video player, such as mpv, vlc or mplayer. I extracted a video URL with -g, but it does not play on another machine / in my web browser. It depends a lot on the service. In many cases, requests for the video (to download/play it) must come from the same IP address and with the same cookies and/or HTTP headers. Use the --cookies option to write the required cookies into a file, and advise your downloader to read cookies from that file. Some sites also require a common user agent to be used, use --dump-user-agent to see the one in use by youtube-dl. You can also get necessary cookies and HTTP headers from JSON output obtained with --dump-json. It may be beneficial to use IPv6; in some cases, the restrictions are only applied to IPv4. Some services (sometimes only for a subset of videos) do not restrict the video URL by IP address, cookie, or user-agent, but these are the exception rather than the rule. Please bear in mind that some URL protocols are not supported by browsers out of the box, including RTMP. If you are using -g, your own downloader must support these as well. If you want to play the video on a machine that is not running youtube-dl, you can relay the video content from the machine that runs youtube-dl. You can use -o - to let youtube-dl stream a video to stdout, or simply allow the player to download the files written by youtube-dl in turn. ERROR no fmt_url_map or conn information found in video info YouTube has switched to a new video info format in July 2011 which is not supported by old versions of youtube-dl. See above for how to update youtube-dl. ERROR unable to download video YouTube requires an additional signature since September 2012 which is not supported by old versions of youtube-dl. See above for how to update youtube-dl. Video URL contains an ampersand and I m getting some strange output [1] 2839 or v is not recognized as an internal or external command That s actually the output from your shell. Since ampersand is one of the special shell characters it s interpreted by the shell preventing you from passing the whole URL to youtube-dl. To disable your shell from interpreting the ampersands (or any other special characters) you have to either put the whole URL in quotes or escape them with a backslash (which approach will work depends on your shell). For example if your URL is https //www.youtube.com/watch?t=4 v=BaW_jenozKc you should end up with following command youtube-dl https //www.youtube.com/watch?t=4 v=BaW_jenozKc or youtube-dl https //www.youtube.com/watch?t=4\ v=BaW_jenozKc For Windows you have to use the double quotes youtube-dl https //www.youtube.com/watch?t=4 v=BaW_jenozKc ExtractorError Could not find JS function u OF In February 2015, the new YouTube player contained a character sequence in a string that was misinterpreted by old versions of youtube-dl. See above for how to update youtube-dl. HTTP Error 429 Too Many Requests or 402 Payment Required These two error codes indicate that the service is blocking your IP address because of overuse. Usually this is a soft block meaning that you can gain access again after solving CAPTCHA. Just open a browser and solve a CAPTCHA the service suggests you and after that pass cookies to youtube-dl. Note that if your machine has multiple external IPs then you should also pass exactly the same IP you ve used for solving CAPTCHA with --source-address. Also you may need to pass a User-Agent HTTP header of your browser with --user-agent. If this is not the case (no CAPTCHA suggested to solve by the service) then you can contact the service and ask them to unblock your IP address, or - if you have acquired a whitelisted IP address already - use the --proxy or --source-address options to select another IP address. SyntaxError Non-ASCII character The error File youtube-dl , line 2 SyntaxError Non-ASCII character \x93 ... means you re using an outdated version of Python. Please update to Python 2.6 or 2.7. What is this binary file? Where has the code gone? Since June 2012 (#342) youtube-dl is packed as an executable zipfile, simply unzip it (might need renaming to youtube-dl.zip first on some systems) or clone the git repository, as laid out above. If you modify the code, you can run it by executing the __main__.py file. To recompile the executable, run make youtube-dl. The exe throws an error due to missing MSVCR100.dll To run the exe you need to install first the Microsoft Visual C++ 2010 Redistributable Package (x86). On Windows, how should I set up ffmpeg and youtube-dl? Where should I put the exe files? If you put youtube-dl and ffmpeg in the same directory that you re running the command from, it will work, but that s rather cumbersome. To make a different directory work - either for ffmpeg, or for youtube-dl, or for both - simply create the directory (say, C \bin, or C \Users\ User name \bin), put all the executables directly in there, and then set your PATH environment variable to include that directory. From then on, after restarting your shell, you will be able to access both youtube-dl and ffmpeg (and youtube-dl will be able to find ffmpeg) by simply typing youtube-dl or ffmpeg, no matter what directory you re in. How do I put downloads into a specific folder? Use the -o to specify an output template, for example -o /home/user/videos/%(title)s-%(id)s.%(ext)s . If you want this for all of your downloads, put the option into your configuration file. How do I download a video starting with a -? Either prepend https //www.youtube.com/watch?v= or separate the ID from the options with -- youtube-dl -- -wNyEUrxzFU youtube-dl https //www.youtube.com/watch?v=-wNyEUrxzFU How do I pass cookies to youtube-dl? Use the --cookies option, for example --cookies /path/to/cookies/file.txt. In order to extract cookies from browser use any conforming browser extension for exporting cookies. For example, cookies.txt (for Chrome) or cookies.txt (for Firefox). Note that the cookies file must be in Mozilla/Netscape format and the first line of the cookies file must be either # HTTP Cookie File or # Netscape HTTP Cookie File. Make sure you have correct newline format in the cookies file and convert newlines if necessary to correspond with your OS, namely CRLF (\r\n) for Windows and LF (\n) for Unix and Unix-like systems (Linux, macOS, etc.). HTTP Error 400 Bad Request when using --cookies is a good sign of invalid newline format. Passing cookies to youtube-dl is a good way to workaround login when a particular extractor does not implement it explicitly. Another use case is working around CAPTCHA some websites require you to solve in particular cases in order to get access (e.g. YouTube, CloudFlare). How do I stream directly to media player? You will first need to tell youtube-dl to stream media to stdout with -o -, and also tell your media player to read from stdin (it must be capable of this for streaming) and then pipe former to latter. For example, streaming to vlc can be achieved with youtube-dl -o - https //www.youtube.com/watch?v=BaW_jenozKcj | vlc - How do I download only new videos from a playlist? Use download-archive feature. With this feature you should initially download the complete playlist with --download-archive /path/to/download/archive/file.txt that will record identifiers of all the videos in a special file. Each subsequent run with the same --download-archive will download only new videos and skip all videos that have been downloaded before. Note that only successful downloads are recorded in the file. For example, at first, youtube-dl --download-archive archive.txt https //www.youtube.com/playlist?list=PLwiyx1dc3P2JR9N8gQaQN_BCvlSlap7re will download the complete PLwiyx1dc3P2JR9N8gQaQN_BCvlSlap7re playlist and create a file archive.txt. Each subsequent run will only download new videos if any youtube-dl --download-archive archive.txt https //www.youtube.com/playlist?list=PLwiyx1dc3P2JR9N8gQaQN_BCvlSlap7re Should I add --hls-prefer-native into my config? When youtube-dl detects an HLS video, it can download it either with the built-in downloader or ffmpeg. Since many HLS streams are slightly invalid and ffmpeg/youtube-dl each handle some invalid cases better than the other, there is an option to switch the downloader if needed. When youtube-dl knows that one particular downloader works better for a given website, that downloader will be picked. Otherwise, youtube-dl will pick the best downloader for general compatibility, which at the moment happens to be ffmpeg. This choice may change in future versions of youtube-dl, with improvements of the built-in downloader and/or ffmpeg. In particular, the generic extractor (used when your website is not in the list of supported sites by youtube-dl cannot mandate one specific downloader. If you put either --hls-prefer-native or --hls-prefer-ffmpeg into your configuration, a different subset of videos will fail to download correctly. Instead, it is much better to file an issue or a pull request which details why the native or the ffmpeg HLS downloader is a better choice for your use case. Can you add support for this anime video site, or site which shows current movies for free? As a matter of policy (as well as legality), youtube-dl does not include support for services that specialize in infringing copyright. As a rule of thumb, if you cannot easily find a video that the service is quite obviously allowed to distribute (i.e. that has been uploaded by the creator, the creator s distributor, or is published under a free license), the service is probably unfit for inclusion to youtube-dl. A note on the service that they don t host the infringing content, but just link to those who do, is evidence that the service should not be included into youtube-dl. The same goes for any DMCA note when the whole front page of the service is filled with videos they are not allowed to distribute. A "fair use" note is equally unconvincing if the service shows copyright-protected videos in full without authorization. Support requests for services that do purchase the rights to distribute their content are perfectly fine though. If in doubt, you can simply include a source that mentions the legitimate purchase of content. How can I speed up work on my issue? (Also known as Help, my important issue not being solved!) The youtube-dl core developer team is quite small. While we do our best to solve as many issues as possible, sometimes that can take quite a while. To speed up your issue, here s what you can do First of all, please do report the issue at our issue tracker. That allows us to coordinate all efforts by users and developers, and serves as a unified point. Unfortunately, the youtube-dl project has grown too large to use personal email as an effective communication channel. Please read the bug reporting instructions below. A lot of bugs lack all the necessary information. If you can, offer proxy, VPN, or shell access to the youtube-dl developers. If you are able to, test the issue from multiple computers in multiple countries to exclude local censorship or misconfiguration issues. If nobody is interested in solving your issue, you are welcome to take matters into your own hands and submit a pull request (or coerce/pay somebody else to do so). Feel free to bump the issue from time to time by writing a small comment ("Issue is still present in youtube-dl version ...from France, but fixed from Belgium"), but please not more than once a month. Please do not declare your issue as important or urgent. How can I detect whether a given URL is supported by youtube-dl? For one, have a look at the list of supported sites. Note that it can sometimes happen that the site changes its URL scheme (say, from https //example.com/video/1234567 to https //example.com/v/1234567 ) and youtube-dl reports an URL of a service in that list as unsupported. In that case, simply report a bug. It is not possible to detect whether a URL is supported or not. That s because youtube-dl contains a generic extractor which matches all URLs. You may be tempted to disable, exclude, or remove the generic extractor, but the generic extractor not only allows users to extract videos from lots of websites that embed a video from another service, but may also be used to extract video from a service that it s hosting itself. Therefore, we neither recommend nor support disabling, excluding, or removing the generic extractor. If you want to find out whether a given URL is supported, simply call youtube-dl with it. If you get no videos back, chances are the URL is either not referring to a video or unsupported. You can find out which by examining the output (if you run youtube-dl on the console) or catching an UnsupportedError exception if you run it from a Python program. Why do I need to go through that much red tape when filing bugs? Before we had the issue template, despite our extensive bug reporting instructions, about 80% of the issue reports we got were useless, for instance because people used ancient versions hundreds of releases old, because of simple syntactic errors (not in youtube-dl but in general shell usage), because the problem was already reported multiple times before, because people did not actually read an error message, even if it said "please install ffmpeg", because people did not mention the URL they were trying to download and many more simple, easy-to-avoid problems, many of whom were totally unrelated to youtube-dl. youtube-dl is an open-source project manned by too few volunteers, so we d rather spend time fixing bugs where we are certain none of those simple problems apply, and where we can be reasonably confident to be able to reproduce the issue without asking the reporter repeatedly. As such, the output of youtube-dl -v YOUR_URL_HERE is really all that s required to file an issue. The issue template also guides you through some basic steps you can do, such as checking that your version of youtube-dl is current. DEVELOPER INSTRUCTIONS Most users do not need to build youtube-dl and can download the builds or get them from their distribution. To run youtube-dl as a developer, you don t need to build anything either. Simply execute python -m youtube_dl To run the test, simply invoke your favorite test runner, or execute a test file directly; any of the following work python -m unittest discover python test/test_download.py nosetests See item 6 of new extractor tutorial for how to run extractor specific test cases. If you want to create a build of youtube-dl yourself, you ll need python make (only GNU make is supported) pandoc zip nosetests Adding support for a new site If you want to add support for a new site, first of all make sure this site is not dedicated to copyright infringement. youtube-dl does not support such sites thus pull requests adding support for them will be rejected. After you have ensured this site is distributing its content legally, you can follow this quick list (assuming your service is called yourextractor) このリポジトリをフォークする ソースコードをチェックアウトする git clone git@github.com YOUR_GITHUB_USERNAME/youtube-dl.git 新しいgitブランチを開始する cd youtube-dl git checkout -b yourextractor この単純なテンプレートから始めて、それを youtube_dl/extractor/yourextractor.py に保存します # coding utf-8 from __future__ import unicode_literals from .common import InfoExtractor class YourExtractorIE(InfoExtractor) _VALID_URL = r https? //(? www\.)?yourextractor\.com/watch/(?P id [0-9]+) _TEST = { url https //yourextractor.com/watch/42 , md5 TODO md5 sum of the first 10241 bytes of the video file (use --test) , info_dict { id 42 , ext mp4 , title Video title goes here , thumbnail r re ^https? //.*\.jpg$ , # TODO more properties, either as # * A value # * MD5 checksum; start the string with md5 # * A regular expression; start the string with re # * Any Python type (for example int or float) } } def _real_extract(self, url) video_id = self._match_id(url) webpage = self._download_webpage(url, video_id) # TODO more code goes here, for example ... title = self._html_search_regex(r h1 (.+?) /h1 , webpage, title ) return { id video_id, title title, description self._og_search_description(webpage), uploader self._search_regex(r div[^ ]+id= uploader [^ ]* ([^ ]+) , webpage, uploader , fatal=False), # TODO more properties (see youtube_dl/extractor/common.py) } youtube_dl/extractor/extractors.py にインポートを追加します. python test/test_download.py TestDownload.test_YourExtractor を実行します。 これは最初は失敗するはずですが、完了するまで継続的に再実行できます。 複数のテストを追加する場合は、_TEST の名前を _TESTS に変更して、辞書のリストにします。 その後、テストには TestDownload.test_YourExtractor, TestDownload.test_YourExtractor_1, TestDownload.test_YourExtractor_2 などの名前が付けられます。 テストのdictに only_matching キーを使用したテストはカウントされないことに注意してください。 可能なヘルパーメソッドと、エクストラクターが返す必要があるものと返す可能性のあるものの詳細な説明については、youtube_dl/extractor/common.py をご覧ください。 必要な数のテストとコードを追加します。 コードがyoutube-dl コーディング規則に従っていることを確認し、flake8でコードを確認してください $ flake8 youtube_dl/extractor/yourextractor.py Make sure your code works under all Python versions claimed supported by youtube-dl, namely 2.6, 2.7, and 3.2+. When the tests pass, add the new files and commit them and push the result, like this $ git add youtube_dl/extractor/extractors.py $ git add youtube_dl/extractor/yourextractor.py $ git commit -m [yourextractor] Add new extractor $ git push origin yourextractor Finally, create a pull request. We ll then review and merge it. In any case, thank you very much for your contributions! youtube-dl coding conventions This section introduces a guide lines for writing idiomatic, robust and future-proof extractor code. Extractors are very fragile by nature since they depend on the layout of the source data provided by 3rd party media hosters out of your control and this layout tends to change. As an extractor implementer your task is not only to write code that will extract media links and metadata correctly but also to minimize dependency on the source s layout and even to make the code foresee potential future changes and be ready for that. This is important because it will allow the extractor not to break on minor layout changes thus keeping old youtube-dl versions working. Even though this breakage issue is easily fixed by emitting a new version of youtube-dl with a fix incorporated, all the previous versions become broken in all repositories and distros packages that may not be so prompt in fetching the update from us. Needless to say, some non rolling release distros may never receive an update at all. Mandatory and optional metafields For extraction to work youtube-dl relies on metadata your extractor extracts and provides to youtube-dl expressed by an information dictionary or simply info dict. Only the following meta fields in the info dict are considered mandatory for a successful extraction process by youtube-dl id (media identifier) title (media title) url (media download URL) or formats In fact only the last option is technically mandatory (i.e. if you can t figure out the download location of the media the extraction does not make any sense). But by convention youtube-dl also treats id and title as mandatory. Thus the aforementioned metafields are the critical data that the extraction does not make any sense without and if any of them fail to be extracted then the extractor is considered completely broken. Any field apart from the aforementioned ones are considered optional. That means that extraction should be tolerant to situations when sources for these fields can potentially be unavailable (even if they are always available at the moment) and future-proof in order not to break the extraction of general purpose mandatory fields. Example Say you have some source dictionary meta that you ve fetched as JSON with HTTP request and it has a key summary meta = self._download_json(url, video_id) Assume at this point meta s layout is { ... summary some fancy summary text , ... } Assume you want to extract summary and put it into the resulting info dict as description. Since description is an optional meta field you should be ready that this key may be missing from the meta dict, so that you should extract it like description = meta.get( summary ) # correct and not like description = meta[ summary ] # incorrect The latter will break extraction process with KeyError if summary disappears from meta at some later time but with the former approach extraction will just go ahead with description set to None which is perfectly fine (remember None is equivalent to the absence of data). Similarly, you should pass fatal=False when extracting optional data from a webpage with _search_regex, _html_search_regex or similar methods, for instance description = self._search_regex( r span[^ ]+id= title [^ ]* ([^ ]+) , webpage, description , fatal=False) With fatal set to False if _search_regex fails to extract description it will emit a warning and continue extraction. You can also pass default= some fallback value , for example description = self._search_regex( r span[^ ]+id= title [^ ]* ([^ ]+) , webpage, description , default=None) On failure this code will silently continue the extraction with description set to None. That is useful for metafields that may or may not be present. Provide fallbacks When extracting metadata try to do so from multiple sources. For example if title is present in several places, try extracting from at least some of them. This makes it more future-proof in case some of the sources become unavailable. Example Say meta from the previous example has a title and you are about to extract it. Since title is a mandatory meta field you should end up with something like title = meta[ title ] If title disappears from meta in future due to some changes on the hoster s side the extraction would fail since title is mandatory. That s expected. Assume that you have some another source you can extract title from, for example og title HTML meta of a webpage. In this case you can provide a fallback scenario title = meta.get( title ) or self._og_search_title(webpage) This code will try to extract from meta first and if it fails it will try extracting og title from a webpage. Regular expressions Don t capture groups you don t use Capturing group must be an indication that it s used somewhere in the code. Any group that is not used must be non capturing. Example Don t capture id attribute name here since you can t use it for anything anyway. Correct r (? id|ID)=(?P id \d+) Incorrect r (id|ID)=(?P id \d+) Make regular expressions relaxed and flexible When using regular expressions try to write them fuzzy, relaxed and flexible, skipping insignificant parts that are more likely to change, allowing both single and double quotes for quoted values and so on. Example Say you need to extract title from the following HTML code span style= position absolute; left 910px; width 90px; float right; z-index 9999; class= title some fancy title /span The code for that task should look similar to title = self._search_regex( r span[^ ]+class= title [^ ]* ([^ ]+) , webpage, title ) Or even better title = self._search_regex( r span[^ ]+class=([ \ ])title\1[^ ]* (?P title [^ ]+) , webpage, title , group= title ) Note how you tolerate potential changes in the style attribute s value or switch from using double quotes to single for class attribute The code definitely should not look like title = self._search_regex( r span style= position absolute; left 910px; width 90px; float right; z-index 9999; class= title (.*?) /span , webpage, title , group= title ) Long lines policy There is a soft limit to keep lines of code under 80 characters long. This means it should be respected if possible and if it does not make readability and code maintenance worse. For example, you should never split long string literals like URLs or some other often copied entities over multiple lines to fit this limit Correct https //www.youtube.com/watch?v=FqZTN594JQw list=PLMYEtVRpaqY00V9W81Cwmzp6N6vZqfUKD4 Incorrect https //www.youtube.com/watch?v=FqZTN594JQw list= PLMYEtVRpaqY00V9W81Cwmzp6N6vZqfUKD4 Inline values Extracting variables is acceptable for reducing code duplication and improving readability of complex expressions. However, you should avoid extracting variables used only once and moving them to opposite parts of the extractor file, which makes reading the linear flow difficult. Example Correct title = self._html_search_regex(r title ([^ ]+) /title , webpage, title ) Incorrect TITLE_RE = r title ([^ ]+) /title # ...some lines of code... title = self._html_search_regex(TITLE_RE, webpage, title ) Collapse fallbacks Multiple fallback values can quickly become unwieldy. Collapse multiple fallback values into a single expression via a list of patterns. Example Good description = self._html_search_meta( [ og description , description , twitter description ], webpage, description , default=None) Unwieldy description = ( self._og_search_description(webpage, default=None) or self._html_search_meta( description , webpage, default=None) or self._html_search_meta( twitter description , webpage, default=None)) Methods supporting list of patterns are _search_regex, _html_search_regex, _og_search_property, _html_search_meta. Trailing parentheses Always move trailing parentheses after the last argument. Example Correct lambda x x[ ResultSet ][ Result ][0][ VideoUrlSet ][ VideoUrl ], list) Incorrect lambda x x[ ResultSet ][ Result ][0][ VideoUrlSet ][ VideoUrl ], list, ) Use convenience conversion and parsing functions Wrap all extracted numeric data into safe functions from youtube_dl/utils.py int_or_none, float_or_none. Use them for string to number conversions as well. Use url_or_none for safe URL processing. Use try_get for safe metadata extraction from parsed JSON. Use unified_strdate for uniform upload_date or any YYYYMMDD meta field extraction, unified_timestamp for uniform timestamp extraction, parse_filesize for filesize extraction, parse_count for count meta fields extraction, parse_resolution, parse_duration for duration extraction, parse_age_limit for age_limit extraction. Explore youtube_dl/utils.py for more useful convenience functions. More examples Safely extract optional description from parsed JSON description = try_get(response, lambda x x[ result ][ video ][0][ summary ], compat_str) Safely extract more optional metadata video = try_get(response, lambda x x[ result ][ video ][0], dict) or {} description = video.get( summary ) duration = float_or_none(video.get( durationMs ), scale=1000) view_count = int_or_none(video.get( views )) EMBEDDING YOUTUBE-DL youtube-dl makes the best effort to be a good command-line program, and thus should be callable from any programming language. If you encounter any problems parsing its output, feel free to create a report. From a Python program, you can embed youtube-dl in a more powerful fashion, like this from __future__ import unicode_literals import youtube_dl ydl_opts = {} with youtube_dl.YoutubeDL(ydl_opts) as ydl ydl.download([ https //www.youtube.com/watch?v=BaW_jenozKc ]) Most likely, you ll want to use various options. For a list of options available, have a look at youtube_dl/YoutubeDL.py. For a start, if you want to intercept youtube-dl s output, set a logger object. Here s a more complete example of a program that outputs only errors (and a short message after the download is finished), and downloads/converts the video to an mp3 file from __future__ import unicode_literals import youtube_dl class MyLogger(object) def debug(self, msg) pass def warning(self, msg) pass def error(self, msg) print(msg) def my_hook(d) if d[ status ] == finished print( Done downloading, now converting ... ) ydl_opts = { format bestaudio/best , postprocessors [{ key FFmpegExtractAudio , preferredcodec mp3 , preferredquality 192 , }], logger MyLogger(), progress_hooks [my_hook], } with youtube_dl.YoutubeDL(ydl_opts) as ydl ydl.download([ https //www.youtube.com/watch?v=BaW_jenozKc ]) BUGS Bugs and suggestions should be reported at https //github.com/ytdl-org/youtube-dl/issues. Unless you were prompted to or there is another pertinent reason (e.g. GitHub fails to accept the bug report), please do not send bug reports via personal email. For discussions, join us in the IRC channel #youtube-dl on freenode (webchat). Please include the full output of youtube-dl when run with -v, i.e. add -v flag to your command line, copy the whole output and post it in the issue body wrapped in ``` for better formatting. It should look similar to this $ youtube-dl -v your command line [debug] System config [] [debug] User config [] [debug] Command-line args [u -v , u https //www.youtube.com/watch?v=BaW_jenozKcj ] [debug] Encodings locale cp1251, fs mbcs, out cp866, pref cp1251 [debug] youtube-dl version 2015.12.06 [debug] Git HEAD 135392e [debug] Python version 2.6.6 - Windows-2003Server-5.2.3790-SP2 [debug] exe versions ffmpeg N-75573-g1d0487f, ffprobe N-75573-g1d0487f, rtmpdump 2.4 [debug] Proxy map {} ... Do not post screenshots of verbose logs; only plain text is acceptable. The output (including the first lines) contains important debugging information. Issues without the full output are often not reproducible and therefore do not get solved in short order, if ever. Please re-read your issue once again to avoid a couple of common mistakes (you can and should use this as a checklist) Is the description of the issue itself sufficient? We often get issue reports that we cannot really decipher. While in most cases we eventually get the required information after asking back multiple times, this poses an unnecessary drain on our resources. Many contributors, including myself, are also not native speakers, so we may misread some parts. So please elaborate on what feature you are requesting, or what bug you want to be fixed. Make sure that it s obvious What the problem is How it could be fixed How your proposed solution would look like If your report is shorter than two lines, it is almost certainly missing some of these, which makes it hard for us to respond to it. We re often too polite to close the issue outright, but the missing info makes misinterpretation likely. As a committer myself, I often get frustrated by these issues, since the only possible way for me to move forward on them is to ask for clarification over and over. For bug reports, this means that your report should contain the complete output of youtube-dl when called with the -v flag. The error message you get for (most) bugs even says so, but you would not believe how many of our bug reports do not contain this information. If your server has multiple IPs or you suspect censorship, adding --call-home may be a good idea to get more diagnostics. If the error is ERROR Unable to extract ... and you cannot reproduce it from multiple countries, add --dump-pages (warning this will yield a rather large output, redirect it to the file log.txt by adding log.txt 2 1 to your command-line) or upload the .dump files you get when you add --write-pages somewhere. Site support requests must contain an example URL. An example URL is a URL you might want to download, like https //www.youtube.com/watch?v=BaW_jenozKc. There should be an obvious video present. Except under very special circumstances, the main page of a video service (e.g. https //www.youtube.com/) is not an example URL. Are you using the latest version? Before reporting any issue, type youtube-dl -U. This should report that you re up-to-date. About 20% of the reports we receive are already fixed, but people are using outdated versions. This goes for feature requests as well. Is the issue already documented? Make sure that someone has not already opened the issue you re trying to open. Search at the top of the window or browse the GitHub Issues of this repository. If there is an issue, feel free to write something along the lines of "This affects me as well, with version 2015.01.01. Here is some more information on the issue ...". While some issues may be old, a new post into them often spurs rapid activity. Why are existing options not enough? Before requesting a new feature, please have a quick peek at the list of supported options. Many feature requests are for features that actually exist already! Please, absolutely do show off your work in the issue report and detail how the existing similar options do not solve your problem. Is there enough context in your bug report? People want to solve problems, and often think they do us a favor by breaking down their larger problems (e.g. wanting to skip already downloaded files) to a specific request (e.g. requesting us to look whether the file exists before downloading the info page). However, what often happens is that they break down the problem into two steps One simple, and one impossible (or extremely complicated one). We are then presented with a very complicated request when the original problem could be solved far easier, e.g. by recording the downloaded video IDs in a separate file. To avoid this, you must include the greater context where it is non-obvious. In particular, every feature request that does not consist of adding support for a new site should contain a use case scenario that explains in what situation the missing feature would be useful. Does the issue involve one problem, and one problem only? Some of our users seem to think there is a limit of issues they can or should open. There is no limit of issues they can or should open. While it may seem appealing to be able to dump all your issues into one ticket, that means that someone who solves one of your issues cannot mark the issue as closed. Typically, reporting a bunch of issues leads to the ticket lingering since nobody wants to attack that behemoth, until someone mercifully splits the issue into multiple ones. In particular, every site support request issue should only pertain to services at one site (generally under a common domain, but always using the same backend technology). Do not request support for vimeo user videos, White house podcasts, and Google Plus pages in the same issue. Also, make sure that you don t post bug reports alongside feature requests. As a rule of thumb, a feature request does not include outputs of youtube-dl that are not immediately related to the feature at hand. Do not post reports of a network error alongside the request for a new video service. Is anyone going to need the feature? Only post features that you (or an incapacitated friend you can personally talk to) require. Do not post features because they seem like a good idea. If they are really useful, they will be requested by someone who requires them. Is your question about youtube-dl? It may sound strange, but some bug reports we receive are completely unrelated to youtube-dl and relate to a different, or even the reporter s own, application. Please make sure that you are actually using youtube-dl. If you are using a UI for youtube-dl, report the bug to the maintainer of the actual application providing the UI. On the other hand, if your UI for youtube-dl fails in some way you believe is related to youtube-dl, by all means, go ahead and report the bug. COPYRIGHT youtube-dl is released into the public domain by the copyright holders. This README file was originally written by Daniel Bolton and is likewise released into the public domain.