This repository is a web ui docker container for object detection and the other AI tasks. This micro-service is implemented by Flask. There are three tasks as separated.
- COCO dataset(task01)
- Crested Gecko dataset(task02)
- Tsinghua-Tencent 100K dataset(task03)
- Clova Custom Extension(MyPet)(task04)
You can edit the backend REST API for object detection.
- Edit /src/app.py file.
- Update below contants.
POST_API_URI_TASK_01 = 'http://localhost:5001/detect_object?embed_image=false'
POST_API_URI_TASK_02 = 'http://localhost:5002/detect_object?embed_image=false'
POST_API_URI_TASK_03 = 'http://localhost:5003/detect_object?embed_image=false'
The web ui docker container will be running via bash shell command. The default docker port is external(80) and internal(5000).
./run.sh
This project is made available under the MIT License.