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An open-source toolbox for action understanding based on PyTorch

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Is it possible to use an EfficientNet backbone in TSN? I mean something like this: ``` model = dict( type='Recognizer2D', backbone=dict( type='EfficientNetB4', pretrained='torchvision://efficientnet_b4',

hello, I saw all the datasets are used to understand human or animal action, could mmaction be used for vehicle action understanding?Like understanding a vehicle is going to turn left...

Hello, I don't know how to activate social security number and I want a number for my profile?

I tried with loading model with multiple objects. The model have been loaded but failed to take inference as given below: Exception in thread Thread-2: Traceback (most recent call last):...

I successfully compiled denseflow, but I can't find the extract_gpu file in the denseflow/build/, how can I generate? ![image](https://user-images.githubusercontent.com/30884091/200169495-3a5c9ba3-e507-4910-ad86-cd434b5897ab.png)