Skip to content
This repository has been archived by the owner on Jul 2, 2021. It is now read-only.

v0.7.0
Compare
Choose a tag to compare
@yuyu2172 yuyu2172 released this 06 Oct 09:40
· 2603 commits to master since this release
v0.7.0
aac0fbb

This release is targeted at Chainer v2.

Major Improvements

  • We added an evaluation script for ImageNet trained models (link).

API Changes

  • CUBLabelDataset and CUBKeypointDataset
    • Add return_prob_map option to CUBDataset and delete return_mask option #443
    • Add return_bb option to CUBDatasets and delete crop_bbox option #399
  • VOCDetectionDataset
    • Use bbox* instead of detection* for datasets and label_names (e.g. VOCDetectionDataset -> VOCBboxDataset. The examples for SSD and Faster R-CNN no longer work with the previous versions) #419
  • vis_label
    • Change function name: vis_label -> vis_semantic_segmentation #420
    • Show in legend only classes that appear in an image for vis_semantic_segmentation #345
  • FasterRCNNVGG16
    • Organization of weights for Faster R-CNN has changed. The weights trained by the previous version of ChainerCV can not be loaded to the new model.#265
  • Set train=False in predict #407

New Features

  • Add ADE20K dataset #429
  • Add tile_images #422
  • Add Cityscapes semantic segmentation dataset #392
  • Add FeaturePredictor #383
  • Add Conv2DBNActiv #390
  • Add Conv2DActiv #384
  • Add ImageFolderDataset (Renamed to DirectoryParsingLabelDataset later) #271
  • Add write_image #377
  • Add sequential_feature_extractor (Renamed to PickableSequentialChain later) #342
  • Add VGG16 #265

Enhancements and Bug Fixes

  • 3.0.0b1 -> 3.0.0rc1 #442
  • Fix doc of bbox2loc and loc2bbox #439
  • Refactor faster_rcnn.predict #438 (@knorth55 thanks!)
  • Change variable names for Cityscapes to be specific to semantic segmentation #437
  • Use old conda version to make travis work again #431
  • Change SentialFeatureExtractor to PickableSequentialChain #427
  • fix a typo in assert_is_semantic_segmentation_dataset #424
  • Fix doc of semantic segmentation datasets to not use "task" #423
  • Make a directory for chainercv.utils.image #421
  • Raise helpful warnings with Faster R-CNN train script #418
  • Fix README for VGG #414
  • Add interpolation options to scale #412 (@akitotakeki thanks!)
  • n_class before pretrained_model #408
  • Use LabelDataset naming convention #405
  • Fix resize_contain with odd margin #404
  • Remove cityscapes_labels #403
  • Change default nobias option for Conv2DBNActiv #402
  • Change variable names: filenames to paths #398
  • Fix a typo #397
  • Improve style checker #396
  • Add style checker #393
  • use write_image in tests #382
  • Remove get_device #381 (@naoto0804 thanks!)
  • Add citation #378
  • Delete ConcatenatedDataset doc #374
  • Fix a typo in eval_semantic_segmentation.py #372
  • Fix use_gpu in examples #371
  • Support Chainer 2.0.1 and 3.0.0a1 #370 (@KKK669 thanks!)
  • update to Chainer v3.0.0b1 #369
  • Add training result of SSD512 #366
  • Stop PixelwiseSoftmaxClassifier from requring n_class #364
  • Remove matplotlib backend specification line from example code #355
  • Fix Chainer version in Travis #351
  • Add Faster R-CNN VOC07+12 experiment #350
  • Sequential feature extractor remove_unused #348
  • Fix SequentialFeatureExtractor doc to properly compile #347
  • Add all_feature_names to SequentialFeatureExtractor #343
  • Stop using invoke_before_training option in Faster R-CNN example #340
  • Fix ConcatenatedDataset #339
  • use init_scope in examples/ssd/train.py #337
  • Add numpy installation to docs #336
Assets 2
Loading