如opencv开发前的准备工作中所说,此系列文章是在学习Practical Python and OpenCV(点击下载)这本书的一些记录,发出来的文章跳过了第三章对RGB,以及numpy简单操作等介绍，请大家下载原书查看，在原书中对一下段落已进行翻译注释。文章系列完整展示代码点击下载
importnumpyasnp
importcv2
canvas = np.zeros((300,300,3), dtype ="uint8")
#使用np.zeros方法构造一个300，300，3通道的RGB的numpy array
#zeros方法用初始值为零填充数组中的每个元素。
#dtype 数据类型 8进制（
#Since we are representing our image as an RGB image with pixels in the range [0, 255],
#it’s important that we use an 8-bit unsigned integer, or uint8. There #are many
#other data types that we can use (common ones include 32-bit integers, and 32-bit
#or 64-bit floats), but we’ll mainly be using uint8 for the majority of the examples in this book）
green = (0,255,0)#定义一个表示绿色的BGR元组
cv2.line(canvas,(0,0),(300,300),green)
#line(canvas.point1,point2,color) 画布，起点，终点，颜色
cv2.imshow("Canvas", canvas)
cv2.waitKey(0)
red = (0,0,255)
cv2.line(canvas,(300,0),(0,300),red,3)
#line(canvas.point1,point2,color，thickness) 画布，起点，终点，颜色，线条宽度pixels
cv2.imshow("Canvas",canvas)
cv2.waitKey(0)
运行结果如下:
画矩形drawing.py
cv2.rectangle(canvas,(10,10),(60,60),green)
#rectangle(canvas,point1,point2,color)画布，起点，终点，颜色
we are starting our rectangle at point (10,10)
We decide to end our rectangle at(60,60),
defining a region of50x50pixels
cv2.imshow("Canvas",canvas)
cv2.waitKey(0)
cv2.rectangle(canvas,(50,200),(200,225),red,5)
#rectangle(canvas,point1,point2,color,thickness) 画布，起点，终点，颜色，线条宽度pixels
cv2.imshow("Canvas",canvas)
cv2.waitKey(0)
以上我们只绘制了一个矩形的轮廓，如何绘制一个填充满的矩形？
我们只需要通过设置厚度参数为：-1，如下
填充矩形drawing.py
blue = (255,0,0)
cv2.rectangle(canvas,(200,50),(255,125),blue,-1)
cv2.imshow("Canvas",canvas)
cv2.waitKey(0)
运行结果如下:
canvas = np.zeros((300,300,3),dtype ="uint8")
(centerX,centerY) = (canvas.shape[1] //2,canvas.shape[0] //2)
#图像canvas的高度可以在canvas.shape [0]和canvas.shape [1]的宽度中找到。shape [2]为图像channels
white = (255,255,255)
forrinrange(0,175,25):
# range(start, stop[, step])
# 参数说明：
# start: 计数从 start 开始。默认是从 0 开始。例如range（5）等价于range（0， 5）;
# end: 计数到 end 结束，但不包括 end。例如：range（0， 5） 是[0, 1, 2, 3, 4]没有5
# step：步长，默认为1。例如：range（0， 5） 等价于 range(0, 5, 1)
cv2.circle(canvas,(centerX,centerY),r,white)
# cv2.circle(canvas,(centerX,centerY),radius,color,thickness) 画布，起点，终点，颜色，线条宽度(为-1时填充整个图像)
运行结果如下:
画一个半径，中心点随机的填充多圆图
for i in range(0,25):
radius = np.random.randint(5, high =200)
#使用np.random.randint 生成一个5到200之间的随机数
color = np.random.randint(0, high =256,size=(3,)).tolist()
pt = np.random.randint(0, high=300, size = (2,))
cv2.circle(canvas,tuple(pt),radius,color,-1)
cv2.imshow("Canvas",canvas)
cv2.waitKey(0)
运行结果如下:
numpy.random.randint(low, high=None, size=None, dtype='l')
Return random integers from low (inclusive) to high (exclusive).
Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low).
Parameters:
low : intLowest (signed) integer to be drawn from the distribution (unless high=None, in which case this parameter is one above the highest such integer).
high : int, optionalIf provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if high=None).
size : int or tuple of ints, optionalOutput shape. If the given shape is, e.g., (m, n, k), then m n k samples are drawn. Default is None, in which case a single value is returned.
dtype : dtype, optionalDesired dtype of the result. All dtypes are determined by their name, i.e., ‘int64’, ‘int’, etc, so byteorder is not available and a specific precision may have different C types depending on the platform. The default value is ‘np.int’.New in version 1.11.0.
Returns:
out : int or ndarray of intssize-shaped array of random integers from the appropriate distribution, or a single such random int if size not provided.
更多文章请关注我的博客：https://harveyyeung.github.io
