GitLab

* Code for Paper "Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection"

* fix format

* changed the code according to the Changes requested

* update benchmark

* minor refactoring

* minor fix

* update model_zoo and support models
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* First Draft

On branch non-color-images
Changes to be committed:
modified:   mmdet/datasets/pipelines/loading.py

* Add option to load non color images

Add 'color_type' parameter to LoadImageFromFile class
Change __repr__ method accordingly
Since non-color images maybe two dimensional expand image
dimensions if necessary in DefaultFormatBundle and
ImageToTensor classes

Changes to be committed:
    modified:   mmdet/datasets/pipelines/formating.py
    modified:   mmdet/datasets/pipelines/loading.py

* Fix RandomCrop to work with grayscale images

Changes to be committed:
    modified:   mmdet/datasets/pipelines/transforms.py

* Modify retrieving w, h of padded image in anchor heads

This addreses problems with single channel images for which the
shape is  tuple with 2 values

Changes to be committed:
    modified:   mmdet/models/anchor_heads/anchor_head.py
    modified:   mmdet/models/anchor_heads/guided_anchor_head.py
    modified:   mmdet/models...

* try pytorch 1.4 instead of 1.2

* use pytorch 1.2 and torchvision 0.4.0

Changes to be committed:
modified:   mmdet/utils/registry.py

fix a bug for distributed training in windows platform

* Fix IoU sampling

* Update config of libra rcnn with the latest code

* Fix issue in refine_bboxes and add doctest

* fix pillow version on travis

* Fixes based on review

* Fix errors in doctest and add comprehensive unit test

* Fix linting error

--- def forward(x):  # should return a tuple
+++ def forward(self, x):  # should return a tuple

* add instaboost in coco.py

* Revert "add instaboost in coco.py"

This reverts commit 51af81ef88991782d54750761ef2dd394c7a38a8.

* add instaboost in data pipeline

* code format

* Update requirements.txt

* add README.md

* bug fix

* add link

* Update README.md

* install instaboost when necessary, keep r50 cfgs only

* ready to merge

* fix typo

* pass yapf

* minor formats
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* add doc for setting slurm port

* update default

* add instruction for port

* add evaluate interval

* update docs

* fix typo
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* refactoring mAP evaluation

* fix logger type

* per class color in mask rcnn

* fix max label id

* pass flake8

* correct the annotation
Co-authored-by: Wenwei Zhang <40779233+ZwwWayne@users.noreply.github.com>
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* add crop seg to RandomCrop trans

* minor fix comment

* add NASFPN

* minor fixes

* fix downsample, add norm to lateral

* update downsample and configs

* remove additional blank line

* update docs

* add benchmark

* minor fix
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>

* init logger before constructing Runner

* use mmdet logger for loading checkpoints

* bug fix for abstract methods

* use sphinx to generate docs

* fix flake8 linting

* update docs

* Split seg trans

* Modify cfg

* fix typo

* Allow for images to contain zero true detections

* Allow for empty assignment in PointAssigner

* Allow ApproxMaxIouAssigner to return an empty result

* Fix CascadeRNN forward when entire batch has no truth

* Correctly assign boxes to background when there is no truth

* Fix assignment tests

* Make flatten robust

* Fix bbox loss with empty pred/truth

* Fix logic error in BBoxHead.loss

* Add tests for empty truth cases

* tests faster rcnn empty forward

* Skip roipool forward tests if torchvision is not installed

* Add tests for bbox/anchor heads

* Consolidate test_forward and test_forward2

* Fix assign_results.labels = None when gt_labels is given; Add test for this case

* Fix OHEM Sampler with zero truth

* remove xdev

* resolve 3 reviews

* Fix flake8

* refactoring

* fix yaml format

* add filter flag

* minor fix

* delete redundant code in load anno

* fix flake8 errors

* quick fix for empty truth with masks

* fix yapf error

* fix mask padding for empty masks
Co-authored-by: Cao Yuhang <yhcao6@gmail.com>
Co-authored-by: Kai Chen <chenkaidev@gmail.com>

* fix the return value of ga_shape_target_single

* fix the code format

* add GN support for flops computation

* remove useless lines

* modify the flops computation for gn

* async inference support

* implemented concurrent decorator

* fixes for Python versions < 3.7

* async methods depend on python version

* revert changes in forward method

* async_test -> async_simple_test, debug logging is done via logger.debug

* add async test

* add asynctest to test requirements

* async tests are run in Python 3.7

* check CUDA, add docs

* fix device

* run test only if CUDA is available

* fix linting

* custom operators can run on nondefault stream

* set current stream in kernel launch configuration

* example fixes

* add async/sync interface comparison benchmark

* fix linting

Fix loader for images with no proposals

* collect env info for trouble shoting

* minor fix

* update the issue template

* fix the travis building

* update setup classifiers

* Remove keep all stage code

* remove keep_all_stage in config

* update to v1.0rc1

* update maintainers