sudo apt update
sudo apt-get install ffmpeg
sudo apt-get install iperf3
git clone https://github.com/jangscon/prom_client.git
- The script takes four parameters: the path to the image for prediction, the path to save the prediction results, the path to the video for resizing, and the path to save the results.
- If you don't enter a path, it is set to the current directory.
- Execute setup.sh with parameters as shown in the example below:
python3 setup.py --yolo_input_path "/YOLO_IMAGE_PATH" --db_path "db_path" --dataset_path "dataset_path" --mode "yolo"
python3 setup.py --yolo_input_path "/YOLO_IMAGE_PATH" --mode "yolo"
python3 setup.py --db_path "db_path" --dataset_path "dataset_path" --mode "chromadb"
- After this command, Running prom_client.py will start the FastAPI application.
- Communication is possible on port 8000. To retrieve metrics, execute the following command using curl on the client:
curl -o test.txt "http://[ServerIP]:8000/metrics/"
- Check test.txt to verify if metrics have been retrieved correctly.
- To send a request to the server, execute the following command:
- This command instructs the server to perform prediction tasks for images numbered 0 to 29.
curl -X GET "http://[ServerIP]:8000/image_predict/0-30"
- This command instructs the server to perform a size reduction operation on videos 0 through 29.
curl -X GET "http://[ServerIP]:8000/video_resize/0-30"
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