[feat] official implementation for PointWSSIS

AdelaiDet/.gitignore

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+# output dir
+output
+instant_test_output
+inference_test_output
+
+
+*.jpg
+*.png
+*.txt
+
+# compilation and distribution
+__pycache__
+_ext
+*.pyc
+*.so
+AdelaiDet.egg-info/
+build/
+dist/
+
+# pytorch/python/numpy formats
+*.pth
+*.pkl
+*.npy
+
+# ipython/jupyter notebooks
+*.ipynb
+**/.ipynb_checkpoints/
+
+# Editor temporaries
+*.swn
+*.swo
+*.swp
+*~
+
+# Pycharm editor settings
+.idea
+.vscode
+.python-version
+
+# project dirs
+/datasets/coco
+/datasets/lvis
+/datasets/pic
+/datasets/ytvos
+/models
+/demo_outputs
+/example_inputs
+/debug
+/weights
+/export
+eval.sh
+
+demo/performance.py
+demo/demo2.py
+train.sh
+benchmark.sh
+script

AdelaiDet/LICENSE

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+AdelaiDet for non-commercial purposes
+(For commercial use, contact [email protected] for obtaining a commerical license.)
+
+Copyright (c) 2019 the authors
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

AdelaiDet/MODEL_ZOO.md

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+# AdelaiDet Model Zoo and Baselines
+
+## Introduction
+This file documents a collection of models trained with AdelaiDet in Nov, 2019.
+
+## Models
+
+The inference time is measured on one 1080Ti based on the most recent commit on Detectron2 ([ffff8ac](https://github.com/facebookresearch/detectron2/commit/ffff8acc35ea88ad1cb1806ab0f00b4c1c5dbfd9)).
+
+More models will be released soon. Stay tuned.
+
+### COCO Object Detecton Baselines with FCOS
+
+Name | box AP | download
+--- |:---:|:---:
+[FCOS_R_50_1x](configs/FCOS-Detection/R_50_1x.yaml) | 38.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/glqFc13cCoEyHYy/download)
+
+### COCO Instance Segmentation Baselines with [BlendMask](https://arxiv.org/abs/2001.00309)
+
+Model | Name |inference time (ms/im) | box AP | mask AP | download
+--- |:---:|:---:|:---:|:---:|:---:
+Mask R-CNN | [550_R_50_3x](configs/RCNN/550_R_50_FPN_3x.yaml) | 63 | 39.1 | 35.3 |
+BlendMask | [550_R_50_3x](configs/BlendMask/550_R_50_3x.yaml) | 36 | 38.7 | 34.5 | [model](https://cloudstor.aarnet.edu.au/plus/s/R3Qintf7N8UCiIt/download)
+Mask R-CNN | [R_50_1x](https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_1x.yaml) | 80 | 38.6 | 35.2 |
+BlendMask | [R_50_1x](configs/BlendMask/R_50_1x.yaml) | 73 | 39.9 | 35.8 | [model](https://cloudstor.aarnet.edu.au/plus/s/zoxXPnr6Hw3OJgK/download)
+Mask R-CNN | [R_50_3x](https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml) | 80 | 41.0 | 37.2 | 
+BlendMask | [R_50_3x](configs/BlendMask/R_50_3x.yaml) | 74 | 42.7 | 37.8 | [model](https://cloudstor.aarnet.edu.au/plus/s/ZnaInHFEKst6mvg/download)
+Mask R-CNN | [R_101_3x](https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_R_101_FPN_3x.yaml) | 100 | 42.9 | 38.6 |
+BlendMask | [R_101_3x](configs/BlendMask/R_101_3x.yaml) | 94 | 44.8 | 39.5 | [model](https://cloudstor.aarnet.edu.au/plus/s/e4fXrliAcMtyEBy/download)
+BlendMask | [R_101_dcni3_5x](configs/BlendMask/R_101_dcni3_5x.yaml) | 105 | 46.8 | 41.1 | [model](https://cloudstor.aarnet.edu.au/plus/s/vbnKnQtaGlw8TKv/download)
+
+### COCO Panoptic Segmentation Baselines with BlendMask
+Model | Name | PQ | PQ<sup>Th</sup> | PQ<sup>St</sup> | download
+--- |:---:|:---:|:---:|:---:|:---:
+Panoptic FPN | [R_50_3x](https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-PanopticSegmentation/panoptic_fpn_R_50_3x.yaml) | 41.5 | 48.3 | 31.2 | 
+BlendMask | [R_50_3x](configs/BlendMask/Panoptic/R_50_3x.yaml) | 42.5 | 49.5 | 32.0 | [model](https://cloudstor.aarnet.edu.au/plus/s/oDgi0826JOJXCr5/download)
+Panoptic FPN | [R_101_3x](https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/panoptic_fpn_R_101_3x.yaml) | 43.0 | 49.7 | 32.9 |
+BlendMask | [R_101_3x](configs/BlendMask/Panoptic/R_101_3x.yaml) | 44.3 | 51.6 | 33.2 | [model](https://cloudstor.aarnet.edu.au/plus/s/u6gZwj06MWDEkYe/download)
+BlendMask | [R_101_dcni3_5x](configs/BlendMask/Panoptic/R_101_dcni3_5x.yaml) | 46.0 | 52.9 | 35.5 | [model](https://cloudstor.aarnet.edu.au/plus/s/Jwp41WEzDdrhWsN/download)
+
+### Person in Context with BlendMask
+Model | Name | box AP | mask AP | download
+--- |:---:|:---:|:---:|:---:
+BlendMask | [R_50_1x](configs/BlendMask/Person/R_50_1x.yaml) | 70.6 | 66.7 | [model](https://cloudstor.aarnet.edu.au/plus/s/nvpcKTFA5fsagc0/download)