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- Fix outdated configs.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)