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火苗检测
- 使用的原理是依据数字图像处理和分析的最新火焰检测技术。其使用摄像头来达到对对象的现场监控，并且还能够对得到的图像进行预处理的操作和解析，使用前期火焰的形态特征及其变化来检测火灾。(The principle of use is the latest flame detection technology based on digital image processing and analysis. It uses camera to monitor the scene of the object,
darknet-master
- yolov3的c语言Windows版，可以用来训练自己的数据做目标检测.(yolov3 on windows, you can detect object by training your own data using this code)
LoG算子边缘检测
- matlab平台下，使用log算法对图像中的目标进行边缘检测(On MATLAB platform, using log algorithm to detect the edge of the object in the image)
object_detect.py
- 使用CNN检测目标 基于Tensorflow目标检测API(Uses CNN to detect objects. Based on Tensorflow Object Detection API)
nao捡垃圾
- 实现NAO的识别，抓取，让nao机器人可以检测到固定物体并放入固定容器中。(NAO recognition and capture are realized, so that the NAO robot can detect the fixed object and put it into the fixed container.)