open-mmlab · ZwwWayne · Aug 3, 2021 · Aug 3, 2021 · Aug 3, 2021
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
@@ -60,7 +60,9 @@ jobs:
           pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch${{matrix.torch}}/index.html
           python -c 'import mmcv; print(mmcv.__version__)'
       - name: Install unittest dependencies
-        run: pip install -r requirements/tests.txt -r requirements/optional.txt
+        run: |
+              pip install -r requirements/tests.txt -r requirements/optional.txt
+          pip install git+https://github.com/cocodataset/panopticapi.git
       - name: Build and install
         run: rm -rf .eggs && pip install -e .
       - name: Run unittests and generate coverage report
@@ -140,6 +142,7 @@ jobs:
         run: |
           pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu101/${{matrix.torch_version}}/index.html
           pip install -r requirements.txt
+          pip install git+https://github.com/cocodataset/panopticapi.git
           python -c 'import mmcv; print(mmcv.__version__)'
       - name: Build and install
         run: |

diff --git a/docs/get_started.md b/docs/get_started.md
@@ -116,6 +116,17 @@ Or you can still install MMDetection manually:
     pip install -v -e .  # or "python setup.py develop"
     ```
 
+3. Install extra dependencies for Instaboost, Panoptic Segmentation, or LVIS dataset
+
+    ```shell
+    # for instaboost
+    pip install instaboostfast
+    # for panoptic segmentation
+    pip install git+https://github.com/cocodataset/panopticapi.git
+    # for LVIS dataset
+    pip install git+https://github.com/lvis-dataset/lvis-api.git
+    ```
+
 **Note:**
 
 a. When specifying `-e` or `develop`, MMDetection is installed on dev mode

diff --git a/docs_zh-CN/get_started.md b/docs_zh-CN/get_started.md
@@ -105,24 +105,32 @@ MIM 能够自动地安装 OpenMMLab 的项目以及对应的依赖包。
     pip install mmcv-full
     ```
 
-2. 将 MMDetection 仓库克隆至本地：
+2. 安装 MMDetection：
+
+    你可以直接通过如下命令从 pip 安装使用 mmdetection:
 
     ```shell
-    git clone https://github.com/open-mmlab/mmdetection.git
-    cd mmdetection
+    pip install mmdet
     ```
 
-3. 首先安装需要的依赖包，然后安装 MMDetection：
+    或者从 git 仓库编译源码
 
     ```shell
+    git clone https://github.com/open-mmlab/mmdetection.git
+    cd mmdetection
     pip install -r requirements/build.txt
-    pip install -v -e .  # 或者使用 "python setup.py develop"
+    pip install -v -e .  # or "python setup.py develop"
     ```
 
-    或者，可以使用更简单的命令安装 MMDetection：
+3. 安装额外的依赖以使用 Instaboost, 全景分割, 或者 LVIS 数据集
 
     ```shell
-    pip install mmdet
+    # 安装 instaboost 依赖
+    pip install instaboostfast
+    # 安装全景分割依赖
+    pip install git+https://github.com/cocodataset/panopticapi.git
+    # 安装 LVIS 数据集依赖
+    pip install git+https://github.com/lvis-dataset/lvis-api.git
     ```
 
 **注意：**

diff --git a/requirements/runtime.txt b/requirements/runtime.txt
@@ -1,6 +1,5 @@
 matplotlib
 numpy
-panopticapi @ git+https://github.com/cocodataset/panopticapi.git
 pycocotools; platform_system == "Linux"
 pycocotools-windows; platform_system == "Windows"
 six