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Releases: chainer/chainercv
Releases · chainer/chainercv
Bug fix release for Chianer v1 branch
This release fixes a bug found in Faster R-CNN model (#266).
No new feature is added.
The first Chainer v2 release
This is the first release that supports Chainer v2.
For Chainer v1 users, please use the latest version in version 0.4.*.
Changes
- Migrate to Chainer v2 (#243)
Last version for Chainer v1
This is the last version with new features for Chainer v1.
The v0.4* will be updated when there is a critical bug that needs to be fixed.
For users using Chainer v2, please use versions v0.5.0 and higher.
Changed API
Important Axis-dependent values follow row-column order instead of column-row order.
- Convert convention used to describe shape of images from WH to HW (#234)
- Coordinates of bounding boxes are ordered as
(y_min, x_min, y_max, x_max)
instead of(x_min, y_min, x_max, y_max)
. (#246) - Coordinates of keypoints are ordered as
(y, x)
. (#235) - Order of keyword arguments such as
x_flip, y_flip
fortransforms/image
are swapped. (#236)
Other changes
- Changed interface for
eval_semantic_segmentation
. They are noweval_semantic_segmentation_iou
(#215, #217). - Changed name of
eval_detection_voc
toeval_detection_voc_ap
. (#232)
New features
Enhancement
DetectionVocEvaluator
can now report AP for each class. (#242)- Use
DetectionVocEvaluator
inside the train code for Faster R-CNN. (#213) - Accept pretrained_model path for demos (#218)
- Add pretrained option to
eval_voc07
(#231)