MMClassification Release V0.6.0

New Features

• Add model inference. (#16)
• Add pytorch2onnx. (#20)
• Add PIL backend for transform Resize. (#21)
• Add ResNeSt. (#25)
• Add VGG and its pretained models. (#27)
• Add CIFAR10 configs and models. (#38)
• Add albumentations transforms. (#45)
• Visualize results on image demo. (#58)

Improvements

• Replace urlretrieve with urlopen in dataset.utils. (#13)
• Resize image according to its short edge. (#22)
• Update ShuffleNet config. (#31)
• Update pre-trained models for shufflenet_v2, shufflenet_v1, se-resnet50, se-resnet101. (#33)

Bug Fixes

• Fix init_weights in shufflenet_v2.py. (#29)
• Fix the parameter size in test_pipeline. (#30)
• Fix the parameter in cosine lr schedule. (#32)
• Fix the convert tools for mobilenet_v2. (#34)
• Fix crash in CenterCrop transform when image is greyscale (#40)
• Fix outdated configs. (#53)