Multi-area Target Individual Detection with Free Drawing on Video
원문 초록
This paper has provided a novel design idea and some implementation methods to make a real time detection of multi-areas with multiple detecting areas that are generated by the real time drawing on the screen display of the video. The drawing on the video will remain the output as polylines, and the colors of the outlines will change when the stage of drawing or detecting is changed. The shape of the drawn area is free to be customized and real-time effective. The configuration of the drawn areas can be renewed and the detecting areas are working individually. The detection result should be shown with a GUI designed by Tkinter. The object recognition model was developed on YOLOv5 but can be changed to others, which means the core design and implementation idea of this paper is model-independent. With PIL and OpenCV and Tkinter, the drawing effect is real time and efficient. The design and code of this research is basic and can be extended to be implemented in numerous monitoring and detecting situations.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving
InstructSAM: A Training-Free Framework for Instruction-Oriented Remote Sensing Object Recognition
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position Predictivity
Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
Naturally Computed Scale Invariance in the Residual Stream of ResNet18
토론
이 논문과 연결된 포럼 글이 아직 없습니다.