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Use mmcv-full #312

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Nov 26, 2020
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Use mmcv-full #312

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4 changes: 3 additions & 1 deletion docs/install.md
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Expand Up @@ -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
Expand Down Expand Up @@ -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).
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2 changes: 1 addition & 1 deletion requirements/readthedocs.txt
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@@ -1,4 +1,4 @@
mmcv==1.1.1
mmcv-full==1.1.1
munkres
poseval@git+https://github.com/svenkreiss/poseval.git
scipy
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