I don’t think you’re doing anything wrong. See a similar issue here: animated GIF problem. It appears as if the palette information isn’t correctly treated for later frames. The following works for me: def iter_frames(im): try: i= 0 while 1: im.seek(i) imframe = im.copy() if i == 0: palette = imframe.getpalette() else: imframe.putpalette(palette) yield imframe … Read more
Yes OpenCV is more robust and flexible and can perform most of the image processing routines which are available out there, So probably this filter can be done with OpenCV> However, there may not be a straightforward API for that. Anyways, as far as the conversion of image format from OpenCV to PIL is concerned … Read more
Draw text into a temporary blank image, rotate that, then paste that onto the original image. You could wrap up the steps in a function. Good luck figuring out the exact coordinates to use – my cold-fogged brain isn’t up to it right now. This demo writes yellow text on a slant over an image: … Read more
To get the alpha layer of an RGBA image all you need to do is: red, green, blue, alpha = img.split() or alpha = img.split()[-1] And there is a method to set the alpha layer: img.putalpha(alpha) The transparency key is only used to define the transparency index in the palette mode (P). If you want … Read more
I took a quick look and fixed a few other problems along the way. Essentially my changes do this: Draw the bounding box on a temporary image, set its alpha transparency, and then blit this over top of the main image. Avoid extraneous drawing cycles (when the mouse isn’t moving, no sense in drawing the … Read more
If numpy is available on your machine, try doing something like: import numpy as np from PIL import Image im = Image.open(‘fig1.png’) data = np.array(im) r1, g1, b1 = 0, 0, 0 # Original value r2, g2, b2 = 255, 255, 255 # Value that we want to replace it with red, green, blue = … Read more
Updated Answer — 29th April, 2022. After the repeated comments I have decided to update this post with a better visualization. Consider the following image: img = cv2.imread(‘image_path’) I obtained a binary image after performing binary threshold on the a-channel of the LAB converted image: lab = cv2.cvtColor(img, cv2.COLOR_BGR2LAB) a_component = lab[:,:,1] th = cv2.threshold(a_component,140,255,cv2.THRESH_BINARY)[1] … Read more
Matplotlib provides RGB to HSV conversion function: matplotlib.colors.rgb_to_hsv(): matplotlib.colors.rgb_to_hsv(arr) convert rgb values in a numpy array to hsv values input and output arrays should have shape (M,N,3)
There is actually a really simple way of copying EXIF data from a picture to another with only PIL. Though it doesn’t permit to modify the exif tags. image = Image.open(‘test.jpg’) exif = image.info[‘exif’] # Your picture process here image = image.rotate(90) image.save(‘test_rotated.jpg’, ‘JPEG’, exif=exif) As you can see, the save function can take the … Read more
The only problem there is that “paste” does not return an image object – it rather modifies the “blank” image inplace. So, when the second paste is called (the one that uses the fuild128 image), it tries to be applied on “None” – which is the return value of the first image. If that is … Read more