Merge branch 'open-mmlab:master' into custom/face_occlusion

Author: jinwonkim93

README.md

@@ -226,6 +226,7 @@ MMSegmentation is released under the Apache 2.0 license, while some specific fea
 - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab image classification toolbox and benchmark.
 - [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab detection toolbox and benchmark.
 - [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab's next-generation platform for general 3D object detection.
+- [MMYOLO](https://github.com/open-mmlab/mmyolo): OpenMMLab YOLO series toolbox and benchmark.
 - [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab rotated object detection toolbox and benchmark.
 - [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab semantic segmentation toolbox and benchmark.
 - [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab text detection, recognition, and understanding toolbox.

README_zh-CN.md

@@ -220,6 +220,7 @@ MMSegmentation 是一个由来自不同高校和企业的研发人员共同参
 - [MMClassification](https://github.com/open-mmlab/mmclassification): OpenMMLab 图像分类工具箱
 - [MMDetection](https://github.com/open-mmlab/mmdetection): OpenMMLab 目标检测工具箱
 - [MMDetection3D](https://github.com/open-mmlab/mmdetection3d): OpenMMLab 新一代通用 3D 目标检测平台
+- [MMYOLO](https://github.com/open-mmlab/mmyolo): OpenMMLab YOLO 系列工具箱和基准测试
 - [MMRotate](https://github.com/open-mmlab/mmrotate): OpenMMLab 旋转框检测工具箱与测试基准
 - [MMSegmentation](https://github.com/open-mmlab/mmsegmentation): OpenMMLab 语义分割工具箱
 - [MMOCR](https://github.com/open-mmlab/mmocr): OpenMMLab 全流程文字检测识别理解工具包

configs/mobilenet_v2/deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/deeplabv3_m-v2-d8_512x512_160k_ade20k.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320, c1_in_channels=24),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320, c1_in_channels=24),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/fcn_m-v2-d8_512x1024_80k_cityscapes.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/fcn_m-v2-d8_512x512_160k_ade20k.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/pspnet_m-v2-d8_512x1024_80k_cityscapes.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320),
     auxiliary_head=dict(in_channels=96))

configs/mobilenet_v2/pspnet_m-v2-d8_512x512_160k_ade20k.py

@@ -7,6 +7,7 @@
         widen_factor=1.,
         strides=(1, 2, 2, 1, 1, 1, 1),
         dilations=(1, 1, 1, 2, 2, 4, 4),
-        out_indices=(1, 2, 4, 6)),
+        out_indices=(1, 2, 4, 6),
+        norm_cfg=dict(type='SyncBN', requires_grad=True)),
     decode_head=dict(in_channels=320),
     auxiliary_head=dict(in_channels=96))