A macOS app to parse face landmarks from a video for GANs training
Face Data
A macOS application used to auto-annotate landmarks from a video. Those landmarks can further be used as training data for Generative Adversarial Networks (GANs).
Getting Started Installing
You can either download the binary file from Rease
or build the source code using Xcode.
Use
Description
Video Path
Path to the video file, currently only support .mp4
files. Use Select File
to generate path using a file browsing panel.
Output Path
Path to the output directory, this app will create origin
and landmarks
two sub-directories. Use Select Folder
to generate path using a file browsing panel.
Start Second An integer value indicating from which second to start capturing frames from the video, default is 0 (from the beginning)
End Second This app would not extract frames after this second. Default is the duration of the video.
Integer value of how many frames you want to generate. Default is 100 frames.
Start Start the process.
Cancel Stop the process.
Output
origin
and landmark
will be created in the specified output directory.origin
contains the original frames extracted from the video, with file name: img001.png
.landmark
contains the landmark image drawn based on the corresponding frame in origin
, with file name: img001lm.png
.landmark
is no_face_img001lm.png
.Output Images Processing
You will probably want to process the generated images to fit the size restriction for you GANs model. You can refer the Python script crop.py
.
Built With
CGImage
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