Live object detection using MobileNetSSD

This script uses OpenCV's DNN library to load weights from a MobileNet SSD tensorflow model. The classes available are from the COCO dataset. The efficient imutils is used for camera interfacing.

Setup

The code was developped using a python virtualenv To get started use the following commands:

pip install --upgrade pip
git clone https://github.com/codemaker2015/live-object-detection.git
cd live_object_detection
python3 -m venv .env
source .env/bin/activate
pip install -r requirements.txt

Execution

To run the script, simply execute $ python src/detect.py. Press "q" to exit the process.