v0.10.0

This release only supports ChainerMN v1.3.

Spotlight Feature

We added various algorithms.

• Inference code of FCIS ResNet101 #568 (Thank you knorth55 !)
• Inference code of YOLOv3 #586
• Inference code of YOLOv2 #586
• Inference code of PSPNet #610

We wrote our license term more explicitly (check here).

• Note pretrained models' license #631

We use AWS to host pretrained weights

• Use official hosting #633

API Changes

• Stop using nobias=False for ResNet101 and ResNet152 with the He architecture #621

New Features

• multi GPU evaluation of semantic segmentation #629

New tutorials

• Add fine-tuning tutorial (#601, tutorial)

Implemented enhancements:

• ChainerMN 1.3 #619
• Use loc, obj, conf in YOLO #618
• use --foo-bar style in argparse #617
• args --pretrained_model -> --pretrained-model #616 (Thank you knorth55!)
• fix typo in examples/instance_segmentation/eval_sbd.py #615 (Thank you knorth55!)
• Chainer 5.0.0b1 #614
• run_module missing in test_fcis_resnet101 #611
• add instance segmentation voc evaluator extensions #609 (Thank you knorth55!)
• update fcis variable names #608 (Thank you knorth55!)
• Simplify mask voting #607
• Delete unnecessary assignment in ProposalCreator #604 (Thank you t2kasa!)
• Improve pretrained tests #599
• Delete attr.disk #598
• misc fix for YOLOv3 #593
• add prepare_pretrained_model #591
• update fcis variables names #587 (Thank you knorth55!)
• Use prob more strictly inside SSD and Faster R-CNN #584
• add more badges in README #581 (Thank you knorth55!)
• Add exclude option to style_checker.py #441
• Fix bbox_to_mask to return np.float32 #625 (Thank you knorth55!)
• add prob clipping for mask_voting #606 (Thank you knorth55!)
• Fix hacking version #597
• Let YOLOv3.predict accept input image other than float32 #594 (Thank you ronekko!)
• Add FCIS to README #632
• Add PSPNet to README #630
• Fix pickle issue in train_multi.py in SSD #623
• Add YOLO to README #590
• str --> string #583