An object detection model build over the Agora's 1-to-1 video call. This model not only allows you to detect the objects over the call but also extract those objects as images.

1. Agora.io developer account (with app ID)
2. Python3

Jump right into the code and see how to extract objects over agora's video call interface:

1. Create an account on agora.io. From the project manager create a new project and use the given app ID for this video call.
2. Open Object Detection folder and install all the python requirements through the terminal command

pip install -r requirements.txt

3. Open ObjectDetection.py and paste your app ID over there along with a suitable channel name.
4. Download the yolo dataset from here(https://github.com/OlafenwaMoses/ImageAI/releases/download/1.0/resnet50_coco_best_v2.0.1.h5) and paste it to the ObjectDetection directory
5. Now open a sample agora video call channel and paste the same app ID and channel name over there and click join
6. Run ObjectDetection.py - this will take the frames from the video call and apply object detection using ImageAI.
7. All the extracted objects can be seen in the folder named - "test_output.png-objects"