keras-video-classifier
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is it possible to make predictions on individual frames, instead of entire vedio
From the sample predict script in the demo dir, it looks like VGG16 features of all frames in the video's are extracted ones , and then it's feeded to pre-trained model to make a prediction, but i want to predict it for every individual frame in realtime, instead of proccessing entire video at once, will it affect the overall accuracy , or the model only performs for the entire video as LSTM needs sequntial frames to process.
@swapgit You could use a sliding window. Say, extract the nearby 15 frame-wise features and feed it into the network.
Only my point of view.