GitLab

* fix bg_points_filter

* fix 3dssd bg_point_filter bug

* fix bg_filter bug in 3dssd

* update performance

* add model download link

* unit test for LoadImageFromFileMono3D

* fix GlobalRotScaleTrans assertion

* add unit test for ObjectNameFilter

* add unit test for ObjectRangeFilter

* Bump to v0.14.0

* remove the parameter label_weight

* remove useless label_weight args in dataset class

* modify unit tests

* update compatibility docs

* move _get_data to utils

* add comment

* add RandomJitterPoints transform

* add unit test

* add comments

* minor fix

* add knn_heap gpu op support

* add unit test

* remove old knn & rename knn_heap to knn

* interface consistency

* add RandomDropPointsColor transform

* add unit test

* add link to PAConv

* [Fix] Converting point with specify rt_matrix

* boundary condition

* more readability and comprehensibility

* fix comment errors

* add eval_pipeline in mono-nuscene cfg

* add vis function in nuscene-mono dataset

* refactor vis function to support all three mode boxes proj to img

* add unit test for nuscene-mono show func

* browse_dataset support nuScenes_mono

* add show_results() to SingleStageMono3DDetector

* support mono-3d dataset browse

* support nus_mono_dataset and single_stage_mono_detector show function

* update useful_tools.md docs

* support mono-3d demo

* add unit test

* update demo docs

* fix typos & remove unused comments

* polish docs

* fix if condition to enable KITTI detectors eval on nus/lyft datasets

* fix comments

* compress kitti unit test imgs

* add unit test for inference_multi_modality_detector

* fix typos

* rename init_detector to init_model

* show_result_meshlab support seg task

* add unit test for seg show_result_meshlab

* support inference_segmentor

* support pc seg demo

* add docs

* minor fix

* change function name

* compress demo data size

* update docs

* [Fix] Updating mmcv_version to be consistent with mmseg and to support MMCLI

* updating get_started.md

* updating mminstall to be the pip requirement format

* add configs for pn2 on s3dis

* fix bugs

* add README for PN2 segmentor

* update configs file after experiments

* update README

* add base schedule files for seg configs

* rename pn2_seg config files

* update pn2 links in README

* add metafile for pn2

* build BaseSegmentor for point sem seg

* add encoder-decoder segmentor

* update mmseg dependency

* fix linting errors

* warp predicted seg_mask in dict

* add unit test

* use build_model to wrap detector and segmentor

* fix compatibility with mmseg

* faster sliding inference

* merge master

* configs for training on ScanNet

* fix CI errors

* add comments & fix typos

* hard-code class_weight into configs

* fix logger bugs

* update segmentor unit test

* logger use mmdet3d

* use eps to replace hard-coded 1e-3

* add comments

* replace np operation with torch code

* add comments for class_weight

* add comment for BaseSegmentor.simple_test

* rewrite EncoderDecoder3D to avoid inheriting from mmseg

* fix error direction

* fix aos bug in get_bboxes

* support PN2 decode head

* add mmseg dependency in github workflow

* complete PN2 decode head

* modify backbone pn2 to support seg task & its unit test

* add unit test for PN2 decode_head

* Bump to v0.13.0

* modify version.py and be more specific in changelog.md

* space before brackets

* specific pytorch 1.8 issue

* version in getting_started.md

* fix bugs

* add few bugfix

* Update changelog.md

* Update changelog.md

* Update getting_started.md

* Adjust the orders of bug fixes

* Update getting_started.md

* Update changelog.md
Co-authored-by: twang <30491025+Tai-Wang@users.noreply.github.com>

* fix small bug in get_loading_pipeline()

* adopt eval_pipeline & support seg visualization

* support multi-modality vis

* fix small bugs

* add multi-modality args & support S3DIS vis

* update docs with imgs

* fix typos

* remove registry.py in datasets/

* remove registry.py in ops/pointnet_modules/

* remove registry.py in models/

* refactor builder using mmcv.MODELS registry

* update mmcv min version requirement

* change min mmcv version requirement in mmdet3d/__init__.py

* min mmcv version to 1.3.2

* fix small errors in seg dataset cfgs

* add box field to 3d seg dataset

* fix small bug in S3DIS data generation scripts

* fix small bugs in scannet data generation

* efficient mapping by matrix indexing

* add pointsegmapping unit test

* add max_cat_id args everywhere PointSegClassMapping is called in codebase

* add default value for max_cat_id for safety

* add assertion of max_cat_id

* Support base mono3d dense head and anchor free mono3d head

* Support FCOS3D head

* Support FCOS3D baseline on nuScenes

* Fix an import error caused by update of mmcv/mmdet

* Change img_scale to scale_factor in the MultiScaleFlipAug in the config

* Add pred_bbox2d in the params of anchor_free_mono3d_head

* Add unit test for fcos3d head

* Fix a minor bug when setting img_metas in the unit test

* Add unit test for fcos3d detector

* Simplify the logic of weights initialization

* Add comments to specify the reason of cloning features

* Update head config

* support S3DIS data download and pre-processing (to ScanNet format)

* add S3DIS data for unittest

* add S3DIS semseg dataset class and unittest

* add config file for S3DIS dataset

* add eval_pipeline to S3DIS dataset config file

* clean code for S3DIS pre-processing scripts

* reformat code

* fix small bugs

* resolve conflicts & modify show() to use pipeline

* fix small errors

* polish data pre-processing code

* add more comments about S3DIS dataset

* fix markdown lint error

* Clamp 2D Projection of 3D Votes to Image Boundaries

* 'lint'

* 'lint;

* lint
Co-authored-by: Yezhen Cong <52420115+THU17cyz@users.noreply.github.com>

* reuse pipeline in scannet-det dataset

* reuse pipeline in kitti dataset

* reuse pipeline in lyft dataset

* reuse pipeline in sunrgbd dataset

* reuse pipeline in nuscenes dataset

* reuse pipeline in waymo dataset

* reuse pipeline in scannet-seg dataset

* add eval_pipeline in configs which have custom data pipelines

* move data loading via pipeline to dataset._extract_data() for clarity

* use eval_pipeline in tools/misc/visualize_results.py

* get_pipeline from self when no pipeline is provided

* fix small bugs

* fix small bugs

* simplify and clear code

* remove unnecessary eval_pipeline added

* add comment about why we set self.test_mode=False

* small fix

* modify docs about config

* modify PointShuffle and add unittest

* modify PointsRangeFilter and add unittest

* fix small bugs in IndoorPointSample

* fix small typos in docstring