README.rst

Detection Pipeline

Detection

The purpose of detection.sh is to demonstrate object detection using a camera/file as input with i.MX6 hardware accelerators. This is done by running a single-stream object detection pipeline on top of GStreamer i.MX6 elements using the Hailo-8 device.

Options

./detection.sh

• --input is an optional flag, a path to the video displayed (default is detection.mp4).
• --show-fps is a flag that prints the pipeline's fps to the screen.
• --print-gst-launch is a flag that prints the ready gst-launch command without running it.

Configuration

The yolo post processes parameters can be configured by a json file located in /home/root/apps/detection/resources/configs

Supported Networks

• yolov5s_personface: yolov5s pre-trained on Hailo's dataset - https://github.com/hailo-ai/hailo_model_zoo/blob/master/hailo_model_zoo/cfg/networks/yolov5s_personface.yaml

Run

cd /home/root/apps/detection
./detection.sh

The output should look like:

How does it work?

This app is based on our Single Network Pipeline template