Comments (5)
The instructions in DPC and MemDPC are still feasible. Basically what you need to do is just extract video frames and optical flow (code) and prepare a dataloader.
In this repo, there is one difference that I pack the entire frame dataset into lmdb (code). But this step is not essential, as long as the dataloader returns video tensors in the correct format.
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Hi Tengda, thanks for your reply. I found that there is a dataloader in your code, which is for the LMDB format. Hence, if I choose the LMDB format, I can directly use your code, while if I choose my own data format, I need to write corresponding dataloader. Am I right? Thanks!
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Yes, that's right.
If you choose to read from video frames, you can still refer to https://github.com/TengdaHan/MemDPC/blob/master/memdpc/dataset.py, with some modifications in the sampling method (i.e. sampling twice for two random augmentations etc.)
If you choose other ways to load data, you have to ensure your dataloader supports data augmentations & returns tensors with the same shape.
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Hi Tengda, thanks for your detailed reply. I will try it based on your code.
Thanks!
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While several related works simply download saved jpeg frames from the two-stream repo, CoCLR
seems to have different frame saving parameters (resolution and quality) which retains the original video format better.
Does CoCLR extract the frames following the procedure in the DPC repo as follows? That is resize to 240 with the aspect ratio preserved and jpeg quality set to 80 using OpenCV?
https://github.com/TengdaHan/DPC/blob/master/process_data/src/extract_frame.py
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Related Issues (20)
- 2-Stream evaluation on UCF101 HOT 1
- Possible to share S3D model trained on UCF101 -RGB only end to end fine tuned (reported accuracy 81.4) HOT 1
- Making Kinetics-400 RGB lmdb dataset. HOT 2
- Command for Linear Probe and Finetuning HOT 1
- How to generate corresponding 'video_source.json'? HOT 1
- AttributeError: 'str' object has no attribute 'decode' HOT 2
- information about requirements and dateset preparations HOT 1
- lmdb_dataset.py txn.get(self.get_video_id[name].encode('ascii'))) HOT 6
- Issue about DistributedDataParallel(DDP) HOT 3
- Reproducing CoCLR RGB Results??? HOT 1
- fusing two-stream predictions HOT 1
- Question about the code in eval/main_classifier.py HOT 2
- question about ten crop
- Can we design a downstream task for action detection? HOT 5
- Two-stream feature
- TypeError: order must be str, not int HOT 2
- main_classifier.py: error: unrecognized arguments: --final_bn
- I can't download the pretrained model HOT 1
- A question about convert_video_to_lmdb.py HOT 2
- Download Link of Checkpoint HOT 2
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