alkari/camdetect repository overview

⁠camdetect

⁠Object Detection using a webcam with OpenCV and TensorFlow

Tested on Ubuntu 16.04 LTS

Author: @alkari

⁠TL;DR - Run camdetect:

The fastest way to run using Docker, a camdetect.sh script is available to quickly run a container and launch the application.

git clone https://github.com/tensorflow-northwest/camdetect.git
cd camdetect
chmod +x camdetect.sh
./camdetect.sh

⁠Options to run pre-compiled in a Docker container:

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⁠First, ensure x permissions allow connections on host system

xhost +

⁠To run cam object detection:

docker run -it --rm  --privileged --env DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix:ro alkari/camdetect python3 camdetect/camdetect.py

⁠To login to the container and examine the files or run manually:

docker run -it --rm  --privileged --env DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix:ro -p 8888:8888 alkari/camdetect /bin/bash

⁠To view files in Jupyter notebook

docker run -it --rm -p 127.0.0.1:8888:8888 alkari/camdetect sh -c "jupyter notebook --ip=* --allow-root --no-browser"

⁠To Compile and Install from scratch on Ubuntu 16.04 (without Docker):

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Note: Could take up to an hour to complete.

git clone https://github.com/tensorflow-northwest/camdetect.git
cd camdetect
chmod +x install_detect.sh
sudo bash install_detect.sh