zed import #13
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| ## save annotated images and upload as an artifact from pipeline | ||
| ## include detection confidence scores, inference time, test results summary | ||
| # print result report, option to save and upload artifact | ||
| name: Model Deployment Pipeline | ||
| run-name: Model deployment pipeline triggered by ${{ github.actor }} | ||
| on: | ||
| workflow_dispatch: | ||
| inputs: | ||
| google_drive_link: | ||
| description: "Shareable Google Drive link for the model file" | ||
| required: true | ||
| model_file_name: | ||
| description: "Name to save the downloaded model file as" | ||
| required: true | ||
| default: "model.pt" | ||
| dataset_choice: | ||
| description: "Select the dataset to use" | ||
| required: true | ||
| type: choice | ||
| options: | ||
| - weed testing dataset | ||
| - maize testing dataset | ||
| - neither | ||
| custom_dataset_path: | ||
| description: "Custom folder/file path (if 'neither' is chosen)" | ||
| required: false | ||
| default: "" | ||
| workflow_call: | ||
| inputs: | ||
| file_path: | ||
| required: true | ||
| type: string | ||
| dataset_path: | ||
| required: true | ||
| type: string | ||
| # container needs gdown module | ||
| jobs: | ||
| model-inference: | ||
| runs-on: self-hosted | ||
| steps: | ||
| - name: Download model file from Google Drive | ||
| run: | | ||
| # Extract the file ID from the Google Drive shareable link | ||
| file_id=$(echo "${{ github.event.inputs.google_drive_link }}" | sed -n 's|.*drive.google.com.*/d/\([a-zA-Z0-9_-]*\).*|\1|p') | ||
| # If file ID could not be extracted, fail the job | ||
| if [ -z "$file_id" ]; then | ||
| echo "Failed to extract file ID from the Google Drive link. Please ensure the link is in the correct format." | ||
| exit 1 | ||
| fi | ||
| # Download the file using gdown | ||
| gdown --id "$file_id" -O "${{ github.event.inputs.model_file_name }}" | ||
| - name: Handle dataset selection | ||
| run: | | ||
| if [ "${{ github.event.inputs.dataset_choice }}" == "weed testing dataset" ]; then | ||
| echo "Using weed testing dataset..." | ||
| dataset_path="path/to/weed/testing/dataset" | ||
| elif [ "${{ github.event.inputs.dataset_choice }}" == "maize testing dataset" ]; then | ||
| echo "Using maize testing dataset..." | ||
| dataset_path="path/to/maize/testing/dataset" | ||
| elif [ "${{ github.event.inputs.dataset_choice }}" == "neither" ]; then | ||
| if [ -z "${{ github.event.inputs.custom_dataset_path }}" ]; then | ||
| echo "Custom dataset path not provided." | ||
| exit 1 | ||
| fi | ||
| echo "Using custom dataset path: ${{ github.event.inputs.custom_dataset_path }}" | ||
| dataset_path="${{ github.event.inputs.custom_dataset_path }}" | ||
| else | ||
| echo "Invalid dataset choice." | ||
| exit 1 | ||
| fi | ||
| echo "Dataset path selected: $dataset_path" | ||
| - name: Run YOLO Inference | ||
| run: | | ||
| python run_yolo.py --model "${{ github.event.inputs.model_file_name }}" --dataset "$dataset_path" | ||
| - name: Download and unzip folder | ||
| run: | | ||
| gdown --id <file-id> -O dataset.zip | ||
| unzip dataset.zip -d dataset/ | ||
