Object-detection-in-Images-and-Videos

Object Detection using Keras, YOLO V3, Docker and Streamlit

Run the prediction using one of following,

1. Perform detection using trained weights on image, set of images or video

python predict.py -i /path/to/image/or/video

It carries out detection on the image and write the image with detected bounding boxes to the default output folder.

2. Run with Streamlit

streamlit run app.py server.port=8501

then point to localhost:8501 for streamlit app

3. Run with Docker

docker image pull apurva543/obj_detection:0.0
docker run -p 8501:8501 apurva543/obj_detection:0.0

then point to localhost:8501 for streamlit app