This Git repository contains code for an Object Detection API built using FastAPI. The main functionality of this API is to perform object detection on images using a pre-trained model and provide the results in a user-friendly format.
To run the Object Detection API, make sure you have FastAPI and Uvicorn installed. If not, you can install them using pip:
pip install -r requirements.txtOnce you have FastAPI and Uvicorn installed, you can start the API with the following command:
uvicorn main:app --host 0.0.0.0 --port 8000 --reloadThis will start the FastAPI server, and you should see output indicating that the server is running.
The API provides the following endpoint:
POST /detect: Upload an image for object detection. The API will return the detected objects in the image along with their bounding boxes.
To test the API, you can use a tool like curl or write your own code to interact with it programmatically. Here's an example of how to use curl to test the API:
curl -X POST -F "image=@path/to/your/image.jpg" http://localhost:8000/detectReplace "path/to/your/image.jpg" with the actual path to the image you want to use for testing.
This project is licensed under the MIT License. See the LICENSE file for details.
If you have any questions or suggestions, please feel free to contact us at Jafar.
Happy coding! 🚀