Object detection app
This application uses state of the art algorithms for object detection and a frontend application made with Angular. It can run on Jetson Nano, Raspberry Pi or PC.
It can use:
- SSD Mobilenet
- Yolo
- Motion detection using OpenCV
- Cascade classifier
Install
- Make sure to have
git:
sudo apt install git
- Install this object-detection package using the Makefile to have all dependencies installed automatically
git clone https://github.com/cristianpb/object-detection.git
cd object-detection/
make up
Raspberry
For Raspberry Pi install OpenCV 4 fast and optimized for this device:
git clone --single-branch --depth=1 https://github.com/dlime/Faster_OpenCV_4_Raspberry_Pi.git
cd Faster_OpenCV_4_Raspberry_Pi/debs
sudo dpkg -i OpenCV*.deb
sudo ldconfig
For the dependencies, I prefer to use .deb files in Raspberry Pi instead of
pip because it doesn't have to compile sources. For installing pandas takes
more than 1 hour using pip. More details are in Makefile.
Utilisation
Once the application is running go to localhost:5000