Comments (1)
Hi,
Basic steps:
- Read your video using cv2.VideoCapture (example)
- Create a video clip of 16 or 64 frames depending on the model and preprocess it.
- Feed this preprocessed clip to the model.
- You could try overlapping clips to get a better prediction.
from mars.
Related Issues (20)
- The accuracy of validation is low HOT 1
- the accuracy is lower than 72.2% in HMDB51-1 HOT 9
- MERS weights request
- where can I get the trained models like MARS on HMDB51-2,3 HOT 1
- Whether there is a bug in resnext.py ?
- How to accelerate the extraction of optical flow ? HOT 3
- Flow accuracy HOT 1
- how to train two-stream(RGB+Flow) Network? HOT 1
- For Flow stream use test_single_stream.py HOT 4
- How can I give input to 3d CNN? HOT 3
- Can you tell me, what was your input size to the model? just tell me for single batch_size? HOT 1
- How to train MERS model?
- Code error: Normalize code does not apply
- Can you tell me the shape of your input flow?
- Please tell me about your optical flow directory, so that I can format it the way your code accept?
- RuntimeError: Function AddmmBackward returned an invalid gradient at index 1 - got [1, 2048] but expected shape compatible with [1, 32768]?
- a bug in code when train/test ucf101
- about flow_graphs
- about Accuracy
- UCF 101 Training Guide
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from mars.