ChainerCV Files

This release only supports Chainer v6 and not Chainer v5. For those users using Chainer v5, please update the version of Chainer or use ChainerCV v0.13.

Features - add MaskRCNN #781 - DeepLabV3+ #757 (Thank you 69guitar1015)

No Compat Changes

• FPN related implementation changed (e.g. head.py is renamed to bbox_head.py) #781
• When chainercv.global_config.cv_read_image_backend == 'cv2', ChainerCV is changed to raise error when cv2 is not installed. #852
• Point data format has changed from (K, 2) to [(K, 2)]
• change interface of point/transforms #808
• Change interface of vis_point #809
• Requires name as key for SlicableDataset #833

New CI

We upgraded our CI to pfnCI (PFN’s in-house CI system). Now GPU tests and example tests run (related) - pfnCI (pytests) #823 - pfnCI (examples tests) #842 - Enable model cache in pfnCI #882 - pfnCI on CuPy repository #865 - pfnCI on Chainer repository #854 - Include dockerfile for PFN CI and add tests with chainer master #848

Enhancements

• Support Chainer-style initialization in TransformDataset #832
• add arg --dataset in examples demo #877 (Thank you knorth55)
• refactor eval_semantic_segmentation #875 (Thank you knorth55)
• refactor eval_imagenet.py #874 (Thank you knorth55)
• refactor eval codes #871 (Thank you knorth55)
• Support MN mode for evaluators #868 (yuyu2172)
• DetectionVisReport save tight figure #863 (Thank you 23pointsNorth)
• use pure_nccl in examples/ #845 (Thank you knorth55)
• add fcis examples_tests #840 (Thank you knorth55)
• Create .lock directory #839
• Add argument of alpha to MixUpSoftLabelDataset #836 (Thank you crcrpar)
• Change links to override forward #835 (Thank you crcrpar)
• FPN - Add min/max size params for pre-processing. #830 (Thank you 23pointsNorth)
• Support file-like object in image I/O #824
• add left time in progress hook #817 (Thank you knorth55)
• Show the cause of ValueError #814 (Thank you ktns)
• args --batch-size -> --batchsize in examples #811 (Thank you knorth55)
• change assert_is_point, assert_is_point_dataset, CUB datasets #806
• Change doc style of eval_* #804
• Change doc style of vis_* #803
• add sort_by_score in vis_bbox #801 (Thank you knorth55)
• add scale_mask #799
• rename psroi_pooling -> ps_roi_average_pooling and refactor #795 (Thank you knorth55)
• make mask_to_bbox not copy to CPU #792
• add eval_instance_segmentation_multi.py #789 (Thank you knorth55)
• Lock dataset directory before extraction #788
• Unify eval detection #786
• use scales in faster_rcnn_tests #783 (Thank you knorth55)
• simplify coco instance datasets #778
• add sort_by_score option to vis_instance_segmentation #777
• set n_gpu * 0.0005 as fcis lr default #776 (Thank you knorth55)
• Fix a typo #864 (Thank you mitmul)
• Change the condition in mask\_to\_segm\(\) to eliminate invalid bboxes #860 (Thank you mitmul)
• Use with block instead of setting global config #857
• Set allow_pickle=True #853
• fix typo #851 (Thank you okdshin)
• Fix SSD train_multi.py #844
• fix missing link in doc #834
• Fix ImageNet example #831 (Thank you keisukefukuda)
• Fix inference configuration on ADE20K in DeepLab #826 (Thank you 69guitar1015)
• Add link to deeplab page in document #805
• fix resize when 0 length image is given #798
• fix eval_instance_segmentation_coco when pred\_masks is empty #780
• Prevent mutating input of FeaturePredictor.prepare #779
• add test_xception.py #879 (Thank you knorth55)
• update semantic_segmentation/README.md #878 (Thank you knorth55)
• Update readme #872 (Thank you knorth55)
• Update to Chainer 6.0 #867
• use - instead of _ #866
• fix instance_segmentation readme #862 (Thank you knorth55)
• Make Travis CI smaller #855
• Use Ours and Original when reporting performance #846
• update readme #837 (Thank you knorth55)
• Add deeplab pretrained test #827 (Thank you 69guitar1015)
• Fix README #822 (Thank you Hakuyume)
• Fix docstring of DirectoryParsingLabelDataset #820 (Thank you iwiwi)
• Fix typo: Citåyscapes -> Cityscapes #813 (Thank you soskek)
• Use table for the documentation of bbox transforms #807
• add PS RoI Max Pooling #797 (Thank you knorth55)
• add PS RoI max/average align #796 (Thank you knorth55)
• cache conda for travis build #791 (Thank you knorth55)
• Add chainermn support to apply_to_iterator #785
• test FCISResNet101 loss #784 (Thank you knorth55)