- check for CLASSES in checkpoint meta when key meta does not exists

* Fix some typos

Signed-off-by: lizz <lizz@sensetime.com>

* More

Signed-off-by: lizz <lizz@sensetime.com>

* More

Signed-off-by: lizz <lizz@sensetime.com>

* More

Signed-off-by: lizz <lizz@sensetime.com>

* Add mmdet_handler

* Add mmdet2torchserve

* Move serve to docker folder

* add area name grouped map bar plots

* update function name, add comments, fix typo

* make all changes optional, add adjustable area region support, add area stat plots

* clean unnecessary comma

* Deprecated warning and fix 'meta' error

* Fix comment

* Deprecated font_scale

* Ignore nonzero and add dummy data in multiclass_nms for deployment with TensorRT

* reduce number of bboxes by nms_pre_deploy in anchor_head

* reduce number of bboxes by nms_pre_deploy in fcos_head

* add onnx2tensorrt and its doc

* add nms_pre_deploy in yolo_head

* change sort to topk in rpn_head

* skip nonzero in single_level_roi_extractor

* update onnx2tensorrt and its doc

* move onnx2tensorrt

* update onnx2tensorrt doc

* change nms_pre_deploy to deploy_nms_pre

* update doc and change deploy_nms_pre format

* support convert voc to cocoformat json

* modify according to comments

* Support get plt frame data

* Add grayscale image unittest and fix comment

* Clean empty line and fix comment

* Add unit test and fix comment

Comment the first line of meta_info['config'] to avoid syntax error

* Categorize tools

* Update docs

* Rename tools

* Tool organization

* add onnx simplify option

* resolve comments

* add warnings

* New Add ResultEvaluate

* Update ResultVisualizer

* Delete debug code

* Add Loading related pipeline

* 1.Move retrieve_loading_pipeline to dataset.util
2.Support display GT mask
3.Support display GT mask and det mask for visualize fn

* Use gt_mask.to_ndarray()

* Refactor analyze_results.py

* Fix docs str

* Logger is silent and add progressBar

* Fix lint

* Fix docs str and other comment

* Fix docs str

* Fix docs str

* Fix docs str and add unit test for mask2ndarray

* Move train_cfg/test_cfg into model

* fixed fsaf

* fixed missing

* FPN deprecated warning

* FPN deprecated warning

* Replace imshow_det_bboxes visualization backend

* Add bbox_vis unit tests

* Encapsulate color_val_matplotlib function

* Add fun input parameters

* Deprecate block

* Add mask display in image

* Putting the text inner left corner the bbox

* Add a filling color for text regions.

* Update color docs

* Fix color docs

* Update color docs and Fix default param

* Add docstring for train.py/test.py/eval_metric.py

* Add docstring in the document

* Update docstring in the document

* Update docstring

* [doc]: add doc for pytorch2onnx

* [doc]: remove blank lines

* resolve format of doc

* refact doc for pytorch2onnx

* add space

* add to index.rst

* [Feature] Add best ckp hook

* update docstring

* Fixed evaluate

* make key_indicator default None

* add test, and OrderDict

* add test fot best checkpoint hook

* delete comments

* add more info

* fixed eval metric

* remove key_indicator

* update doc

* fixed test.py/eval_metric.py

* fixed dist

* compatible with mmcv

* more test

* revert voc0712

* Modify to export to ONNX

* Modify to support new_tensor, new_full when exporting to onnx

* Replace grid_sample with resize for exporting to onnx

* Add verify of mask result

* Verify all outputs between pytorch and onnx

* Avoid runtime split error for mask-rcnn

* Remove unnecessary change in bbox2roi

* add rpn upgrade scripts for v2.5.0 compatibility

* rephrase docs

* Use mmdet.apis

* Add show_dir and show_score_thr args

* pre-commit

* Save each corruption in separate folder

* Save each corruption in separate folder

* edit mmdet.core.export docstring

* update doctest

* fix small bugs

* added `generate_inputs_and_wrap_model` function for pytorch2onnx

* undo debugging changes

* added model.cpu().eval()

* refactored onnx

* fix verify

* move `generate_inputs_and_wrap_model` into mmdet.core.export

* use `generate_inputs_and_wrap_model` in tools/pytorch2onnx.py

* fix rpn transforming bug in two_stage

* fix bc break of mmdet.core.fp16, refactor import of wrap_fp16_model

* changed warning method

* added docstring for Depr_Fp16OptimizerHook

* docformatter

* fix docstring

* changed names from depr to deprecated

* Change all fp16 operation to using MMCV

* fix isort

* yapf and docformatter

* Revert "yapf and docformatter"

This reverts commit dede22f5339e04002ccad4e7c4c7bbb083b2e6dc.

* yapf

* Add replace_ImageToTensor for batch inference

* move replace_ImageToTensor to mmdet.datasets.utils

* fix typo in unit tests

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

* update some models

* some fix

* support cascade

* add htc

* sup more models

* sup point rend

* clean comment

* minor fix

* clean

* fix unittest

* update doc

* fix image demo and robustness test

* fix webcame

* Add custom_imports

* Add tutorial

* import import_modules_from_strings later to be compatible with previous mmcv versions

* Add config and config filename to runner meta

* Add absolute path of config file

* change from realpath to abspath

* Use copy.deepcopy

* Use config instead of config_dict.

* add eval metric

* update