Comments (1)
Hi @Winnie202! Thanks for your interest in our VideoMAE.
We didn't use tensorRT to deploy our ViT backbone on mobile devices. If you want to try this experiment, one tip is that you need to modify the operators depending on einops package, which is not supported by tensorRT officially.
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Related Issues (20)
- Issue Encountered When Loading the Model: "pretrain_videomae_base_patch16_224" HOT 5
- ModuleNotFoundError: No module named 'petrel_client'
- License of Kinetics-400
- video xxx not correctly load during training
- The GPU memory usage of UCF and Kinetics is different.
- TODO/videomae_pretrain_base_patch16_224_frame_16x4_tube_mask_ratio_0.9_e1600/checkpoint-1599.pth HOT 1
- HMDB checkpoint
- Rebuild Video
- the numberi of rebuild images is too small
- AttributeError: module 'torch._C' has no attribute '_get_privateuse1_backend_name'
- How to obtain the reconstructed image for inference and masked
- How good model handle the different duration of clips?
- How to convert .pth to .bin HOT 1
- KeyError: 'model' HOT 2
- VideoMAE might not be a useful model for video reconstruction? Or perhaps it only learns the most generic distribution within patches? HOT 2
- How to use VideoMAE for video regression task?
- ucf101,hmdb51 HOT 1
- After obtaining the .pth file from training, how do I convert it into a .bin file for performing inference?
- 关于微调损失函数 HOT 1
- How to conduct zero-shot evaluations?
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