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).
You can either download the binary file from
Rease or build the source code using Xcode.
|Video Path||Path to the video file, currently only support
|Output Path||Path to the output directory, this app will create
|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.|
|# of Frames||Integer value of how many frames you want to generate. Default is 100 frames.|
|Start||Start the process.|
|Cancel||Stop the process.|
- Two sub-directories
landmarkwill be created in the specified output directory.
origincontains the original frames extracted from the video, with file name:
landmarkcontains the landmark image drawn based on the corresponding frame in
origin, with file name:
- If there is no face detected in one original frame, the corresponding file name in
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