README.rst

Century Pipeline

Overview

century.sh demonstrates detection on one video file source over multiple Hailo-8 devices, either using the Century platform, or other multi device configurations (i.e., multiple M.2 modules connected directly to the same host). While this application defaults to 4 devices, any number of Hailo-8 devices are supported.

This pipeline runs the detection network Yolov5.

Options

./century.sh [--input FILL-ME]

• --input is an optional flag, a path to the video displayed (default is detection.mp4).
• --show-fps is an optional flag that enables printing FPS to the console.
• --print-gst-launch is a flag that prints the ready gst-launch command without running it
• --device-count is an optional flag that sets the number of devices to use (default 4)

Configuration

The app post process parameters can be configured by a json file located in $TAPPAS_WORKSPACE/apps/h8/gstreamer/general/century/resources/configs/yolov5.json

Supported Networks

• 'yolov5m_wo_spp_60p' - https://github.com/hailo-ai/hailo_model_zoo/blob/master/hailo_model_zoo/cfg/networks/yolov5m_wo_spp_60p.yaml
• 'yolox_l_leaky' - https://github.com/hailo-ai/hailo_model_zoo/blob/master/hailo_model_zoo/cfg/networks/yolov5m_wo_spp_60p.yaml

Run

cd $TAPPAS_WORKSPACE/apps/h8/gstreamer/general/century
./century.sh

The output should look like:

How it works

This app is based on our multi device pipeline template.

How to use Retraining to replace models

Note

It is recommended to first read the Retraining TAPPAS Models page.

You can use Retraining Dockers (available on Hailo Model Zoo), to replace the following models with ones that are trained on your own dataset:

• yolov5m

  • Retraining docker

  • For optimum compatibility and performance with TAPPAS, use for compilation the corresponding YAML file from above.

  • TAPPAS changes to replace model:
    • Update HEF_PATH on the .sh file
    • Update resources/configs/yolov5.json with your new post-processing parameters (NMS)

• yolox_l_leaky

  • Retraining docker

  • For optimum compatibility and performance with TAPPAS, use for compilation the corresponding YAML file from above.

  • TAPPAS changes to replace model:
    • Update HEF_PATH on the .sh file
    • Update resources/configs/yolox.json with your new post-processing parameters (NMS)