AIAS/1_image_sdks/pedestrian_sdk/README.md
2024-10-20 16:27:54 +08:00

1.9 KiB

Download the model and place it in the /models directory

Pedestrian Detection SDK

Pedestrian detection is the use of computer vision technology to determine whether there are pedestrians in the image and to provide accurate positioning, generally represented by a rectangular box. Pedestrian detection technology has strong practical value. It can be combined with pedestrian tracking, pedestrian re-identification, and other technologies, and applied to autonomous driving systems for cars, intelligent video surveillance, human behavior analysis, passenger flow statistics system, intelligent transportation and other fields.

SDK Functionality

  • Pedestrian detection, providing detection boxes and confidence

Running Example- PedestrianDetectExample

  • Test image pedestrian

After successful operation, the command line should see the following information:

[INFO ] - [
	class: "pedestrian", probability: 0.97251, bounds: [x=0.284, y=0.451, width=0.101, height=0.394]
	class: "pedestrian", probability: 0.97015, bounds: [x=0.418, y=0.448, width=0.082, height=0.377]
	class: "pedestrian", probability: 0.96476, bounds: [x=0.568, y=0.423, width=0.105, height=0.411]
	class: "pedestrian", probability: 0.95523, bounds: [x=0.811, y=0.401, width=0.104, height=0.436]
	class: "pedestrian", probability: 0.93908, bounds: [x=0.680, y=0.433, width=0.074, height=0.352]
]

Open Source Algorithms

1. Open source algorithms used by SDK

2. How is the model exported?