update mmdetection fork #1
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* add cfg for anchor head * add copy in two stage rpn
* add PAFPN * add doc * rename cfg, inherit from fpn * reformat doc string * standard doc string * fix doc of fpn * rename lateral_dconv to downsample_convs
* support-empty-tensor * minor update * add unit test * fix unit test * add assert value equal * simplify some codes * simplify unit tests * distinguish x with x_empty and x_normal * ref only forward once * fix python3.5 ci error
* rename api * Refactor (APIs): rename imgs_per_gpu to samples_per_gpu * Clean files * Refactor (infos): rename self.infos to self.data_infos
#2410) * Refactor (training cfgs): change default training settings for better performance * Change RoIAlign sample num & caffe img norm * Refactor (LR): change 1/1000 to 0.001
* Add classes as input parameter * Update 'use my own datasets' documentation * Add test_datasets * Fix assert Co-authored-by: David de la Iglesia Castro <diglesia@gradiant.org>
* Add ability to specify device ids for non-distributed training Changes to be committed: modified: mmdet/apis/train.py modified: tools/train.py * Deprecate cfg.gpus in favor of cfg.gpu_ids Changes to be committed: modified: mmdet/apis/train.py modified: tools/train.py * Fix strange issue with mutually_exclusive_group Changes to be committed: modified: tools/train.py * Fix gpu-ids nargs parameter Changes to be committed: modified: tools/train.py
* support to train subsets of coco dataset * add template config * Add docstrings * Refactor (classes): modity API to be consistent with PR 2408 * Add support for buildin datasets * Merge V2.0 and pass all unittest * Fix (template configs) * Refactor (subset): change function names * Refactor (custom_classes): add subset check * Filter instance during training by self.CLASSES * Fix comments * Raise error when classes is in unsupport type * Refactor: put call of get_subset_by_classes in custom.py * Modify test_dataset to pass CI * Fix custom_classes bug * rename clean_data_infos to subset_data_infos
* Refactor (tools): use '-' rather than '_' for command option * Change command line options in docs
* Add regression test for custom classes * remove assert
* Merge _dist_train and _non_dist_train * Add missing distributed arg to Fp16OptimizerHook
* Refactor (assigner): add iou_calculator * Rename (iou_calculator): rename registry IOUCALCULATOR to IOU_CALCULATOR * resolve comments * Rename IOU_CALCULATOR to IOU_CALCULATORS
* merge target into head * remove squeeze in image_to_level, add doc string * reformat doc string * update docs, rename to get_target * reanme unify all target functions to get_targets * set test_cfg as default cfg for get_bboxes * fixed test * rename get_targets in atss, fcos ,fovea, reppoint * rename get_det_bboxes to get_bboxes
* remove dupulicate unmap * move unmap from anchor/utils to utils/misc
* Support class wise mean AP for coco * Reformat code * Reformat print output * Reformat doc
* add coder registry * add coder for single stage * rename to bbox_coder * add doc string * add doc string * change default
* remove datasets.loader and add datasets.samplers * fix typo in the filename
* fixed configs, add bypass_duplicate option * rename _is_disjoint to _is_in
* add reg_decoded_bbox in two_stage * finished single stage * fixed comment * fixed docs
* fixed init/refine * fixed bbox coder assert
* Support V1.0 anchor generator * Reformat code * Add registry for anchor generator * Reformat docstring * fix isort * Refactor anchor generator * reformat doc, add unittest * Refactor retinahead anchor generator * Fix test_anchor device bug * Fix docstring * Resolve comments with more unittests * Fix atss bug and add more unittest * Resolve comments * Add more asset and check
Merge master into V2.0
* migrate flops counter to mmcv * remove useless unit tests * update the doc
* add interrogate to travis * add missing requirements
* migrate to github action * fixed typo * install pycocotools * resolve comments * fixed syntax
* rename regnet configs * Further fix bugs * Update 400MF * fix name bugs in configs * fix bn default
* add RandomCenterCropPad and unittest * add instruction for RandomCenterCropPad * update Resize, RandomCenterCropPad and MultiScaleFlipAug * update unittest of Resize * update docstring * add unittest for MultiScaleFlipAug with Resize * update function _get_border * update __init__ and __repr__, fix unittest * fix repr_str * add docstrings * update docstring * Update transforms.py * add assert in Resize * fix linting error
* add gfocal losses * add gfl head, its related code, configs * fix 2x config bug * add most model and log in gfl README * update gfl model and log * Update transforms.py modify variables L, T, R, B to left, top, right, bottom * Update gfocal_loss.py modify variables into meaningful names: * pt -> scale_factor * a -> pos b -> pos_label * disl -> dis_left disr -> dis_right * wl -> weight_left wr -> weight_right * Update gfocal_loss.py update formats * remove duplicated get_bboxes/IoU calculation, make QFL consistent * add all docstring in gfl_head.py and gfocal_loss.py
* Add support for DetectoRS. * Fix Travis CI build failure and remove loading rfp_pretrained for test * Revise the code according to the PR reviews: * remove unnecessary `,` * add docstring to ASPP and ConvAWS2d * make args of ASPP configurable * simplify the code of ConvAWS2d * import nn and functional for SAConv2d * rewrite rfp_conv with build_conv_layer and constant_init * rename rfp_inp with rfp_inplanes * reformat code to pass Travis CI build * Revise codes according to the PR reviews: * Create new backbone DetectoRS_ResNe(X)t to incorporate RFP and SAC. * Initialize modules with mmcv.cnn. * Revise the codes of RFP. * Revise codes according to the PR comments: * Add docstrings to Bottleneck in mmdet/models/backbones/detectors_resnet.py. * Add docstrings to _load_from_state_dict in mmdet/ops/conv_ws.py. * Initialize the switch of SAC with mmcv. * minior refactor and docstring * update doc * update README * move init into init_weights() * update model zoo * add gfl Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
* WIP: add auto augmentation * add blank space * change AutoAugment based on 1-st comments * fix a bug in AutoAugment * use Compose in AutoAugment * move Compose from __call__ to __init__ in AutoAugment * change AutoAugment based on 2nd comments * fix a typo in AutoAugment
* refactor anchor free detector * add doc str * fix fovea * make consistent with previous version * fix format * fix format * add version * fix k and p
* Complete model zoo models * Update performance * Update links
* Complete model zoo models * Update performance * Update links * Update gfl aws links * Update groie performance
* add switch in loading, fix scale_factor bug * add unittest for MultiScaleFlipAug and Resize * fix unittest for test_loading.py * move default_meta_key to Bundle, add aug test for Cascade RCNN/Mask RCNN/HTC * update Bundle and add unittest, update original unittest * fix yapf formatting * fix the version of codecov-action to 1.0.7 Co-authored-by: Kai Chen <chenkaidev@gmail.com>
* Bump to 2.2 * remove some * update * update * update mmcv version
* Add transform types todo * Move TODO to Line15
* change accuracy to positive recall in FSAF * use mmdet accuracy module to calculate pos recall in fsaf * Change label to long in unittest * revise docstring according to comments * revise docstring according to comments
* update docstring formats * fix :func: * minor update
* fix isort issue * limit isort version to 4.3.21 * add --recursive back for isort
* doc: Update install.md add `conda install Cython` before install the forked version of `pycocotools` * add cython to requirements/build.txt Co-authored-by: Kai Chen <chenkaidev@gmail.com>
* restructure unit tests * fix paths
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