img = np.zeros((480, 640, 3), np.uint8)
时间: 2023-11-13 19:03:33 浏览: 28
This code creates a NumPy array of shape (480, 640, 3) and data type uint8. The array is initialized with all elements set to 0, which represents black in the RGB color space. The dimensions of the array correspond to the height, width, and number of color channels (red, green, and blue) in an image. Therefore, this code creates a black image with a resolution of 640x480 pixels.
相关问题
img = np.zeros((400, 400, 3), dtype=np.uint8)把3去掉是什么意思
将 np.zeros() 函数生成的三维数组的最后一个维度设为1,即 np.zeros((400, 400, 1), dtype=np.uint8),表示生成一个400x400的灰度图像,每个像素值为一个8位的无符号整数。如果将最后一个维度设为2,则表示生成一个400x400的RGB图像,每个像素值为一个长度为3的一维数组,分别表示红、绿、蓝三个通道的亮度值。
img = np.zeros((512, 512, 3), np.uint8)
This line of code creates a NumPy array (img) with dimensions of 512x512 pixels and 3 color channels (red, green, and blue). Each pixel is represented by an 8-bit unsigned integer (np.uint8) which can have a value between 0 and 255. The initial values for all the pixels are set to 0, resulting in a black image.