How to Install Detectron2 on Windows
Installing Detectron2 on Windows involves several steps. Let’s go through each of them in detail:
- Step 1: Set Up Python Environment
- Step 2: Install PyTorch
- Step 3: Install Dependencies
- Step 4: Clone the Detectron2 Repository
- Step 5: Install Detectron2
- Step 6: Verify the Installation
Firstly, ensure you have Python installed on your Windows machine. You can download the latest Python version from the official website (https://www.python.org/downloads/) and follow the installation instructions.
Detectron2 relies on PyTorch as its backbone. To install PyTorch, open a command prompt or terminal and run the following command:
pip install torch torchvision
This will install the latest version of PyTorch and torchvision package.
Detectron2 has several dependencies that need to be installed. Run the following command to install them:
pip install cython pyyaml matplotlib
This will install Cython, PyYAML, and Matplotlib packages.
Next, we need to clone the Detectron2 repository from GitHub. Run the following command to do so:
git clone https://github.com/facebookresearch/detectron2.git
This will create a local copy of the Detectron2 repository on your machine.
Once the repository is cloned, navigate to the cloned directory in the command prompt or terminal. Then, run the following command to install Detectron2:
pip install -e detectron2
This will install Detectron2 along with its dependencies.
Finally, to verify the installation, you can run the Detectron2 example script provided in the repository. Use the following command:
python detectron2/demo/demo.py --config-file detectron2/configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml --input input.jpg --output output.jpg
This will run an instance segmentation model on the input image and save the output image as “output.jpg”. Make sure to replace “input.jpg” with the actual path to your input image.
That’s it! You have successfully installed Detectron2 on your Windows machine.