Imeme contour portable#
Imeme contour code#

We can also access the alpha value (transparent = 0, opaque = 255) and grayscale value (intensity) as well.Īlpha_img = # opaque For grayscale image, corresponding intensity is returned. For BGR image, it returns an array of Blue, Green, Red values. We can access a pixel value by its row and column coordinates. If image is grayscale, tuple returned does not contain any channels.

Imeme contour code#

img.dtype (usually, dtype=np.uint8) is very important while debugging because a large number of errors in OpenCV-Python code is caused by invalid datatype.

Print 'RGB shape: ', img.shape # Rows, cols, channels Gray_img = cv2.imread(img_file, cv2.IMREAD_GRAYSCALE) # grayscale Img = cv2.imread(img_file, cv2.IMREAD_COLOR) # rgbĪlpha_img = cv2.imread(img_file, cv2.IMREAD_UNCHANGED) # rgba So it is a good method to check if loaded image is grayscale or color image: If image is grayscale, tuple returned contains only number of rows and columns. It returns a tuple of number of rows, columns and channels. Image properties include number of rows, columns and channels, type of image data, number of pixels etc. Image Properties - shape, size, and dtype

<0 Return the loaded image as is (with alpha channel).

CV_LOAD_IMAGE_GRAYSCALE - If set, always convert image to the grayscale one.

CV_LOAD_IMAGE_COLOR - If set, always convert image to the color one.

CV_LOAD_IMAGE_ANYDEPTH - If set, return 16-bit/32-bit image when the input has the corresponding depth, otherwise convert it to 8-bit.

The flags is to specify the color type of a loaded image: The syntax for the imread() looks like this:

Here is a simple python code for image loading:

Imeme contour portable#

Portable image format - *.pbm, *.pgm, *.ppm.Here are the file formats that are currently supported: Even if the image path is wrong, it won't throw any error, but print image will give us None. If the image cannot be read (because of missing file, improper permissions, unsupported or invalid format), the function returns an empty matrix ( Mat::data=NULL ). Actually, it reads an image as an array of RGB values. It loads an image from the specified file and returns it. To load an image, we can use imread() function.