CNN

The subpackage mmcv.cnn ships with lots of CNN backbones and the number is growing. Different from models provided in torchvision, these models are designed for actual usage in different cases, with highly customizable interfaces.

Taking ResNet as an example, you can specify the following things:

• number of stages
• stage of output feature maps
• location of the stride 2 convolutional layer
• strides and dilation of each stage
• whether to freeze some first stages
• whether to fix BN stats
• whether to fix BN parameters
• whether to use checkpoint to save memory