DeepStream SDK TrafficCamNet on NVIDIA Jetson Xavier NX Test1

ทดสอบ NVIDIA DeepStream SDK บน Jetson Xavier NX
DeepStream เป็น SDK สำหรับทำ AI Video Analytics
• Jetpack SDK 4.4.1
• DeepStream SDK 5.0
• Python 3.6.9

TrafficCamNet Model
4 classes ( car, persons, road signs and two-wheelers. )

Video MP4 1280x720

Python Source Code
https://github.com/amphancm/deepstream_python_apps

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คอร์สอบรม Computer Vision, Machine Learning, AI on NVIDIA Jetson

รายละเอียด
https://goo.gl/forms/gihWTQZgrtRgeFuw2

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Model Overview
The model described in this card detects one or more physical objects from four categories within an image and returns a box around each object, as well as a category label for each object. The four categories of objects detected by this model are – car, persons, road signs and two-wheelers.

Model Architecture
The model is based on NVIDIA DetectNet_v2 detector with ResNet18 as a feature extractor. This architecture, also known as GridBox object detection, uses bounding-box regression on a uniform grid on the input image. Gridbox system divides an input image into a grid which predicts four normalized bounding-box parameters (xc, yc, w, h) and confidence value per output class.

The raw normalized bounding-box and confidence detections needs to be post-processed by a clustering algorithm such as DBSCAN or NMS to produce final bounding-box coordinates and category labels.

Видео DeepStream SDK TrafficCamNet on NVIDIA Jetson Xavier NX Test1 канала Soft Power Group