Add compare table (#2620)

* add compare table fix model_zoo.md

* fix some typos

* minor add

* minor update

* add link for mmdet

* minor update

README.md

@@ -46,7 +46,7 @@ Please refer to [changelog.md](docs/changelog.md) for details and release histor
 ## Benchmark and model zoo
 
 Supported methods and backbones are shown in the below table.
-Results and models are available in the [Model zoo](docs/MODEL_ZOO.md).
+Results and models are available in the [model zoo](docs/MODEL_ZOO.md).
 
 |                    | ResNet   | ResNeXt  | SENet    | VGG      | HRNet |
 |--------------------|:--------:|:--------:|:--------:|:--------:|:-----:|
@@ -71,18 +71,22 @@ Results and models are available in the [Model zoo](docs/MODEL_ZOO.md).
 | FreeAnchor         | ✓        | ✓        | ☐        | ✗        | ✓     |
 | NAS-FPN            | ✓        | ✓        | ☐        | ✗        | ✓     |
 | ATSS               | ✓        | ✓        | ☐        | ✗        | ✓     |
+| FSAF               | ✓        | ✓        | ☐        | ✗        | ✓     |
+| PAFPN              | ✓        | ✓        | ☐        | ✗        | ✓     |
 
 Other features
 - [x] [CARAFE](configs/carafe/README.md)
 - [x] [DCNv2](configs/dcn/README.md)
 - [x] [Group Normalization](configs/gn/README.md)
 - [x] [Weight Standardization](configs/gn+ws/README.md)
-- [x] [OHEM](configs/faster_rcnn_ohem_r50_fpn_1x_coco.py)
-- [x] Soft-NMS
+- [x] [OHEM](configs/faster_rcnn/faster_rcnn_r50_fpn_ohem_1x_coco.py)
+- [x] [Soft-NMS](configs/faster_rcnn/faster_rcnn_r50_fpn_soft_nms_1x_coco.py)
 - [x] [Generalized Attention](configs/empirical_attention/README.md)
 - [x] [GCNet](configs/gcnet/README.md)
-- [x] [Mixed Precision (FP16) Training](configs/fp16)
+- [x] [Mixed Precision (FP16) Training](configs/fp16/README.md)
 - [x] [InstaBoost](configs/instaboost/README.md)
+- [x] [FSAF](configs/fsaf/README.md)
+- [x] [PAFPN](configs/pafpn/README.md)
 
 
 ## Installation

configs/faster_rcnn/faster_rcnn_r50_fpn_soft_nms_1x_coco.py

+_base_ = [
+    '../_base_/models/faster_rcnn_r50_fpn.py',
+    '../_base_/datasets/coco_detection.py',
+    '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
+]
+
+test_cfg = dict(
+    rcnn=dict(
+        score_thr=0.05,
+        nms=dict(type='soft_nms', iou_thr=0.5),
+        max_per_img=100))

docs/model_zoo.md

@@ -127,6 +127,19 @@ Please refer to [ATSS](https://github.com/open-mmlab/mmdetection/blob/master/con
 We also benchmark some methods on [PASCAL VOC](https://github.com/open-mmlab/mmdetection/blob/master/configs/pascal_voc), [Cityscapes](https://github.com/open-mmlab/mmdetection/blob/master/configs/cityscapes) and [WIDER FACE](https://github.com/open-mmlab/mmdetection/blob/master/configs/wider_face).
 
 
+## Speed benchmark
+We compare the training speed of Mask R-CNN with some other popular frameworks (The data is copied from [detectron2](https://github.com/facebookresearch/detectron2/blob/master/docs/notes/benchmarks.md)).
+
+| Implementation       | Throughput (img/s) |
+|----------------------|--------------------|
+| [Detectron2](https://github.com/facebookresearch/detectron2) | 61 |
+| [MMDetection](https://github.com/open-mmlab/mmdetection) | 60 |
+| [maskrcnn-benchmark](https://github.com/facebookresearch/maskrcnn-benchmark/)   | 51 |
+| [tensorpack](https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN) | 50 |
+| [simpledet](https://github.com/TuSimple/simpledet/) | 39 |
+| [Detectron](https://github.com/facebookresearch/Detectron) | 19 |
+| [matterport/Mask_RCNN](https://github.com/matterport/Mask_RCNN/) | 14 |
+
 ## Comparison with Detectron2
 
 We compare mmdetection with [Detectron2](https://github.com/facebookresearch/detectron2.git) in terms of speed and performance.

requirements/build.txt

 # These must be installed before building mmdetection
 numpy
-torch>=1.1
+torch>=1.3

requirements/runtime.txt

 matplotlib
-mmcv>=0.5.0
+mmcv>=0.5.1
 numpy
 # need older pillow until torchvision is fixed
 Pillow<=6.2.2
 six
 terminaltables
-torch>=1.1
+torch>=1.3
 torchvision