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📖 OpenCV-Python image processing tutorial for beginners

Home Page: https://codec.wang/docs/opencv

Dockerfile 1.76% JavaScript 37.00% TypeScript 39.09% CSS 22.14%

image-processing opencv opencv-python

opencv-python-tutorial's Introduction

Hi, I'm Arthur, alias CodecWang 👋

🧑🏻‍💻 I’m a full-stack developer, designer.
👁️ Before, I'm a "cver" (Computer Vision).
🍿 Like watching movies and playing console games.

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opencv-python-tutorial's Issues

关于霍夫变换提取圆

你好，我看了你网站上的讲解，受益匪浅，关于霍夫变换提取圆我遇到了一些问题。这是我自适应阈值分割后的图

从这张图中看圆还挺清晰的，然后对这张图用霍夫变换提取圆后结果是这样

想问下这是为什么？谢谢楼主

opencv版本号，以及其他依赖包的版本号能提交一个文件吗？

请求作者添加一个依赖包的版本号文件，方便大家跑例子。

图像识别的小项目

您好,我们有个图像识别的小项目想请您看看.您可以看下需求,评估个价格么?
具体参考此文档：https://shimo.im/docs/04R3wTt0KeYNVnNA
联系方式: cc_at_fishmindtech.com

作者您好：
我在学习第5节的时候，发现您促代码中给的HSV中蓝色的范围和我的结果对不上。不知道是不是我。
但我在修改成如下范围后，程序结果就正常了。
`
# 蓝色的范围
lower_blue = np.array([0, 43, 46])
upper_blue = np.array([10, 255, 255])
lower_blue2 = np.array([156, 43, 46])
upper_blue2 = np.array([180, 255, 255])

# 绿色的范围
lower_green = np.array([35, 43, 46])
upper_green = np.array([77, 255, 255])

# 红色的范围
lower_red =np.array([100, 43, 46])
upper_red =np.array([130, 255, 255])

img=cv2.imread('Simple.jpg')
img_hsv=cv2.cvtColor(img,cv2.COLOR_RGB2HSV)
mask_blue = cv2.inRange(img_hsv, lower_blue, upper_blue)
mask_blue2 = cv2.inRange(img_hsv, lower_blue2, upper_blue2)
mask_blue = mask_blue + mask_blue2
mask_green = cv2.inRange(img_hsv, lower_green, upper_green)
mask_red = cv2.inRange(img_hsv, lower_red, upper_red)

mask = mask_blue + mask_green + mask_red
`