depthai_yolov5_coco

depthai yolov5

This depthai plugin is a yolov5 model trained on the COCO dataset. The model computation takes place on the depthai device.

Additional installation

Make sure your udev rules are set according to depthai needs. If they are set already, skip this step.

echo 'SUBSYSTEM=="usb", ATTRS{idVendor}=="03e7", MODE="0666"' | sudo tee /etc/udev/rules.d/80-movidius.rules
sudo udevadm control --reload-rules && sudo udevadm trigger

Usage

First add a camera device to MeetingCam

To show a modified camera stream in online meetings it is necessary to create a virtual camera for each real camera you want to use.

1. Activate the virtual environment

   source .venv/bin/activate

2. Get command to add a camera device

   python src/meetingcam/main.py add-devices --type depthai

   Then copy and execute the command of the camera you want to use.
3. You can now see that the camera of your choice has a virtual counterpart.

   python src/meetingcam/main.py list-devices --type depthai

Run a plugin

Replace the device_path with your cameras path which is the cameras mxid in the depthai case.

python src/meetingcam/main.py depthai-yolov5 device_path

Get help

Options and usage for the plugin are documented in the plugins help function.

python src/meetingcam/main.py depthai-yolov5

Showcase

By default the bounding box and name imprint are shown.

You can hide the label imprints by pressing <Ctrl+Alt+l>.

Implementation details

The depthai plugins are running the models computation on device, which means that the detection takes place on the cameras hardware.