tostaylo / object-detection-to-speech

Object Detection API using Flask and Object Detection Libraries

Docker (preferred)

with Docker Compose

docker-compose up --build

or CLI commands

# Build
docker build -t object-detection .
# Run
docker run -e PORT=8080 -p 8080:8080 object-detection:latest

then visit http://localhost:8080/ in your browser:

Test

Good for testing models without restarting/relying on Flask server.

1. Run Docker container using steps above
2. In new command line window run

   docker container ls # (get running docker container name)
   docker exec [running docker container name] python3 tests/[test file name]

Run & Develop with Local Python Environment (alternative to Docker)

python3 -m venv venv
source venv/bin/activate
(venv) $ pip install -r requirements.txt
(venv) $ python3 webapp.py --port 8080

then visit http://localhost:8080/ in your browser:

Google Cloud Run

Live Web Application

gcloud services enable containerregistry.googleapis.com
docker pull <docker-id>/<image-name>
docker tag <docker-id>/<image-name> gcr.io/<project-id>/<image-name>
docker push gcr.io/<project-id>/<image-name>

Architecture

Google Colab

https://colab.research.google.com/drive/1dBh5onisO2XdNzwVmCosnYGTca_eFaVW?usp=sharing

Reference

• https://github.com/ultralytics/yolov5
• ultralytics/yolov5#36
• https://detectron2.readthedocs.io/en/latest/tutorials/getting_started.html
• https://github.com/robmarkcole/yolov5-flask (this repo was forked from here)