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Deploying image target detection algorithms on embedded devices is critical. Previous studies assumed that fewer model parameters and computations improved the inference speed. However, many models ...
Therefore, fault diagnosis of rolling bearings is of great significance. This article uses the method of continuous wavelet transform to transform the original one-dimensional vibration signal into a ...
Before training, check or modify network configuration (e.g. batch_size, epoch and steps etc..) in config.py. MODEL_TYPE: you can choose PFLD, PFLD_Ultralight or PFLD_Ultralight_Slim for different ...
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V ...
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