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Hi, thanks for the code! I tried to run the code with 8 V100 GPUs. However, all of the GPUs were just working alternatively during the training phase. The estimate time was more than 6 days. I checked…
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Thanks a lot for providing the open-source code!
Could you provide the pre-processing file for R-C3D?
Highly appreciate your time and help!
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Hi gsig, thanks for sharing this project.
I just ran into this error when executing python main.py in the pytorch directory.
> Traceback (most recent call last):
File "main.py", line 59, in
…
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Provided by ChuanweiZhou
Dataset: FlyingChairs path:/data3/FlyingChairs/FlyingChairs size: 1.1T
keywords: optical flow estimation
homepage: https://lmb.informatik.uni-freiburg.de/resources/datase…
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I want to demonstrate how to input a single video and get the result corresponding to that video. can i do that?
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As I run the dataset, I find that some videos' annotations about end time of action is bigger than the total length of that video. For example,\
name action label …
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Traditionally, the training video input should be segmentations cropped from raw videos according to the annotation file which tells the segmentation when to start and when to end. Then the training i…
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Did you try Charades dataset? It seems need more temporal information to classify.
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Some videos work, some give the following error:
```python: lintel/py_ext/lintelmodule.c:134: setup_vid_stream_context: Assertion `(video_stream->duration > 0) && (video_stream->nb_frames > 0)' faile…
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# Feature Description
The models needs to be refactored into it's own folder housed in charades/charades/model
Tests also need to be refactored and run to ensure they work