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火焰检测识别 XIN
- 实现了火焰检测，效果还可以 。用的rgb-his。可以检测火焰和蓝色火焰(The flame detection is realized, and the effect is also acceptable.. Rgb-his. Flame and blue flames can be detected)
火焰检测识别
- 用vs2013 opencv3.0 实现了视频中火焰检测，test视频是打火机，和小火堆，都可以进行识别，是很好的颜色识别。(With vs2013 opencv3.0 video flame detection, test video is a lighter, and small fire, can be identified, is a good color recognition.)
turtlebot_visual_servoing-master
- Turtlebot line tracker based on ROS, Visp and OpenCV
wps-back
- 采用tensorflow的深度学习框架，采用opencv，采用时间戳，和特征抓取，自动抓取图片特征，然后存储(Using tensorflow's deep learning framework, opencv, timestamp, and feature capture are used to automatically capture image features, and then store them)
kalman
- 卡尔曼 滤波， opencv samples ， 做圆周运动(kalman filter opencv samples)
test
- 卡尔曼滤波算法仿真基于opencv，小球跟踪(kalman filter algorithm simulation based on OpenCV, ball tracking)
060491
- 基于OpenCV的卡尔曼滤波实现物体跟踪的程序,VC下实现,在VC下运行需要OpenCV的支持,()
447809
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV()
kalman
- Opencv 3 中的kalmanFilter C++(Open cv 3 kalmanFilter C++)
face_alignment
- 人脸识别中的face alignment实现，亲测可行(face alignment in opencv/Visual C++)
hand-gesture-recognition-opencv-master
- Deaf people communication technology
CNN人脸检测VS2015+Opencv310
- CNN人脸检测VS2015+Opencv310(cnn face detection VS2015+Opencv310)
JGIB
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV()
deep-learning-opencv
- opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)
迭代法图像复原算法3月20日改
- 使用C#的WPF与打印机调用打印例子。使用PrintDialog 类，用打印队列实现打印。利用vc6.0+opencv实现人脸识别(Use C#'s WPF and printer to call the Print example. Use the PrintDialog class to print with a print queue. Using vc6.0+opencv to realize face recognition)
track
- 基于opencv的改进五帧差分算法，用于运动目标检测(Improved five frame difference algorithm based on OpenCV for moving target detection)
simpleCNN
- 在anaconda+opencv+tensorflow平台下，利用简单的CNN卷积神经网络进行手写字符识别(Under the anaconda+opencv+tensorflow platform, we use simple CNN convolution neural network to handwritten character recognition.)
smoke
- 使用opencv进行烟雾检测，数据集和代码都在里面，可以直接跑(smoke detection with opencv)
Simple Demo
- 人搜索 依赖 在python3.7 MacOS 10.14.6下测试 ——python包 ——opencv-python ——tb-nightly -torch>= 1.0 下载weights 从这里下载，密码:qscx 下载后，将权重放到文件夹 person_search_demo/weights中 测试 cd <指向此floder>的路径 python search 结果将保存在输出文件夹中 训练 您可以直接使用原始的YOLO代码进行培训。
使用python调用摄像头数据实现虚拟背景
- 基于python+pytorch+opencv实现的复杂环境下的虚拟背景功能