Windows: mask2former environment construction

1: Install Annaconda

2: Install pycharm

3: Create a Python3.8 environment

conda create -n py38 python=3.8

4: Install GCC

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        1. Install MinGW       

         Download MinGW ​​​​​​Open the hosting website sourceforge and download

After the download is complete, double-click to open and click Install, all the way to Next installation

2. Install the GCC compiler

Open the compiler and click Basic Setup, find mingw-gcc-g++ -bin in Packpag, left-click the small box and click Mark for installation

                                         

Then click Installation in the menu bar, click Apply Changes

                        

Click Apply in the pop-up dialog box, and then wait for the installation to complete

3. Configure environment variables
First find the path of the MinGW installation bin file, and then copy

 

Go back and click the small circle on the lower left to search, search for environment variables, and click to edit system environment variables

Then click on Environment Variables

 

Then click Path first, then click Edit

First click New, then add the copied path in the new box, and then click OK, and click OK in the previous dialog box

After clicking, the installation is normally completed, test it immediately
Press the WIN+R key, then enter cmd, then enter gcc -v, if the following information appears, the installation is successful

5: Install pytorch, pay attention to the corresponding cuda version

Go to pytorch.org

 Install after selecting the correct torch.

5: Install the library

pip install -U opencv-python
conda install git   
pip install fvcore  

6: install detectron2

git clone [email protected]:facebookresearch/detectron2.git
cd detectron2
pip install -e .
pip install git+https://github.com/cocodataset/panopticapi.git
pip install git+https://github.com/mcordts/cityscapesScripts.git
pip install pycocotools-windows

7: Install dependent library files

pip install -r requirements.txt

8: run

cd mask2former/modeling/pixel_decoder/ops
sh make.sh

Note: Visual studio and cuda need to be installed