Philip Cho

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any update on this issue?

@Ontheway361 did you give up changing it Tf to Torch?

Thanks a lot for the reply. I have tried resizing the num_workers by power of two, by simply dropping num_workers to the next power of two of cpu counts: ```...

would it be something like this? ``` python3 ./tools/demo.py video --path ./assets/vancouver.mp4 -f ./exps/default/unicorn_inst_convnext_tiny_800x1280.py --ckpt ./weights/unicorn_inst_convnext_tiny_800x1280/latest_ckpt.pth --device gpu --mask_thres 0.3 --save_result ```

Tried various different combinations for running demo, but had no luck. Look forward to seeing a demo code. I have tried: ``` python3 ./tools/demo.py video --path ./assets/vancouver.mp4 -f ./exps/default/unicorn_track_large_mask.py --ckpt...

Experiencing the same issue here. checked out release/ngc/22.01 and it's working. Thanks

Thanks for quick follow up! Before I follow your suggestions above, I wanted to test my custom data on 2D RGB settings for TAO training, and I have ran across...

sure. I have followed whatever I found under the official documentation, and did manual split of the videos into train and test folder. ``` model_config: model_type: rgb backbone: resnet18 rgb_seq_length:...

ah okay. I thought the file extension was .txt like other models. Thanks, changing to .yaml works perfectly fine.