Use mmcv-full (open-mmlab#312)

Signed-off-by: lizz <[email protected]>
ajgrafton · Nov 26, 2020 · 2e22726 · 2e22726
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diff --git a/docs/install.md b/docs/install.md
@@ -7,7 +7,7 @@
 - PyTorch 1.3+
 - CUDA 9.2+ (If you build PyTorch from source, CUDA 9.0 is also compatible)
 - GCC 5+
-- [mmcv](https://github.com/open-mmlab/mmcv) (Please install the latest version)
+- [mmcv](https://github.com/open-mmlab/mmcv) (Please install the latest version of mmcv-full)
 - Numpy
 - cv2
 - json_tricks
@@ -76,6 +76,8 @@ It is recommended that you run step d each time you pull some updates from githu
 3. If you would like to use `opencv-python-headless` instead of `opencv-python`,
 you can install it before installing MMCV.
 
+4. If you have `mmcv` installed, you need to firstly uninstall `mmcv`, and then install `mmcv-full`.
+
 ### A from-scratch setup script
 
 Here is a full script for setting up mmpose with conda and link the dataset path (supposing that your COCO dataset path is $COCO_ROOT).

diff --git a/requirements/readthedocs.txt b/requirements/readthedocs.txt
@@ -1,4 +1,4 @@
-mmcv==1.1.1
+mmcv-full==1.1.1
 munkres
 poseval@git+https://github.com/svenkreiss/poseval.git
 scipy