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Hi. I'm not able to quantize 3d convolution layers. Is there any plan to add support for 3d layers to TensorRT quantization ?
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**Describe the bug**
Hi I have encountered an error complaining about pytorch dist training not being initialized properly when finetuning r2plus1d model on ucf101 dataset. I followed the "fine tun…
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### 🐛 Describe the bug
Running on main:
```
torchrun --nproc_per_node=8 train.py --data-path /datasets01/kinetics/070618/400/ --train-dir=val --val-dir=val --batch-size=16 --sync-bn --test-only -…
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Hi, I finetuned the given pre-trained r(2+1)d model on ucf-101 using the given finetuning code. It only achieves (76 -77%) accuracy.
Can you confirm if the given model is the correct one. I use the …
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Thanks for your models. I met with some problem when using the model 'IG-65M+KINETICS+32X112X112'. I fine-tuned on UCF101 dataset using it, but the result is 78% approximately, which is far away from …
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My data set is small, 1500 videos, all under 10 seconds in length. The current training results of this model are as follows:
![1640047275(1)](https://user-images.githubusercontent.com/86870600/14685…
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sorry to trouble you ,i wonder that did you run the video.py,i run 45 epochs succuessfully but receive this error
RuntimeError: CUDA out of memory. Tried to allocate 5.38 GiB (GPU 0; 23.70 GiB total …
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I am trying to run on an Initialization notebook with external test videos which is already in avi format.
> RuntimeError: Caught RuntimeError in DataLoader worker process 0.
> Original Traceback …
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`test_models.py` segfaults on `r2plus1d_18_cuda` on the `unittest_linux_gpu_py3.8 ` CI job. See e.g. failures in https://github.com/pytorch/vision/pull/3700 or https://github.com/pytorch/vision/pull/3…
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Thanks for your great work and nice sharing!
I am trying to utilize the pre-trained model ''r2plus1d_18_xdc_ig65m_kinetics' to extract video feature for text-video matching.
When I used the video …