Object-Detector-App

A real-time object recognition application using Google's TensorFlow Object Detection API and OpenCV.

Getting Started

1. conda env create -f environment.yml
2. python object_detection_app.py Optional arguments (default value):
   • Device index of the camera --source=0
   • Width of the frames in the video stream --width = 1024
   • Height of the frames in the video stream --height = 720
   • Number of workers --num-workers = 1
   • Size of the queue --queue-size = 50

Tests

pytest -vs utils/

Requirements

• Anaconda / Python 3.6
• TensorFlow 1.2
• OpenCV 3.0

Notes

• OpenCV 3.1 might crash on OSX after a while, so that's why I had to switch to version 3.0. See open issue and solution here.
• Moving the .read() part of the video stream in a multiple child processes did not work. However, it was possible to move it to a separate thread.

Copyright

See LICENSE for details. Copyright (c) 2018