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- Modified `.gitignore` to include test fixture data while excluding test results. - Updated `config.yaml` to change the model from 'yolo11m.yaml' to 'yolo26m.pt'. - Enhanced `.cursor/rules/coderule.mdc` with additional guidelines for test environment consistency and infrastructure handling. - Revised autopilot state management in `_docs/_autopilot_state.md` to reflect current progress and tasks. - Removed outdated augmentation tests and adjusted dataset formation tests to align with the new structure. These changes streamline the configuration and testing processes, ensuring better organization and clarity in the project.
1. Install necessary libs and drivers
https://www.python.org/downloads/
Windows
Linux
-
sudo apt install nvidia-driver-535 wget https://developer.download.nvidia.com/compute/cudnn/9.2.0/local_installers/cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb sudo dpkg -i cudnn-local-repo-ubuntu2204-9.2.0_1.0-1_amd64.deb sudo cp /var/cudnn-local-repo-ubuntu2204-9.2.0/cudnn-*-keyring.gpg /usr/share/keyrings/ sudo apt-get update sudo apt-get -y install cudnn nvidia-cuda-toolkit -y nvcc --version
2. Install dependencies
- (Optional) Install virtual env:
pip install virtualenv python -m venv env env\Scripts\activate pip install -r requirements.txt pip uninstall -y torch pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
3. Fix possible problems
- cv2.error: OpenCV(4.10.0) ...\window.cpp:1301: error: (-2:Unspecified error)
pip uninstall -y opencv-python pip install opencv-python - fbgemm.dll error (Windows specific)
copypaste tests\libomp140.x86_64.dll to C:\Windows\System32
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