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Finger-Count-CNN

Pytorch Lightning based Convolutional Neural Network for Counting Fingers in Hand Gestures

Takeaways from this project:

  • SGD as the optimizer was totally unable to train the network as the loss stayed constant. However, switching to Adam optimizer fixed the problem.
  • Had to move Mydataset to a separate python file(fix.py) and then import it. Otherwise there would be a cuDNN error: CUDNN_STATUS_MAPPING_ERROR or a similar error concerning MPS.
CNN final conv output CNN structure after secondReLU MLP Number of layers MLP Final activation Accuracy
1x1x64 AvgPool2d(4,4) 2 none 88%
4x4x64 none 2 none 93%
4x4x64 none 2 Sigmoid 95%
1x1x128 MaxPool + Conv2d + Relu 2 Sigmoid 77%
4x4x16 none 2 Sigmoid 81%
4x4x32 none 2 Sigmoid 94%
4x4x32 none 1 Sigmoid 93%

finger-count-cnn's People

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