Instead of the final classification layer (which would say "dog" or "running"), you extract the output from the (often called the "bottleneck" or "pooling layer").
Use a 3D CNN like I3D or VideoMAE which processes temporal data. 3. Pre-process the Data Download: video5179512026745012956.mp4 (5.75 MB)
If you have the file locally, you can use PyTorch and OpenCV to get the feature: Instead of the final classification layer (which would
Depending on what you want the "feature" to represent, choose a model: choose a model: