AIAS1/1_image_sdks/pedestrian_sdk

Download the model and place it in the /models directory

• Link: https://github.com/mymagicpower/AIAS/releases/download/apps/pedestrian.zip

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

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

• PaddleDetection

2. How is the model exported?

• export_model
• how_to_create_paddlepaddle_model