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2. Creating a simple black image with opencv using cvcreateimage

   stackoverflow.com/questions/17984419

   2. For Python: import numpy as np. X_DIMENSION = 288. Y_DIMENSION = 382. black_image = np.zeros((X_DIMENSION, Y_DIMENSION)) With this code you generate a numpy array which is what is expected for opencv images and fill it with zero which is the color for black. This code is made for grayscale images.

3. Image.fromarray just produces black image - Stack Overflow

   stackoverflow.com/questions/47290668

   Image.fromarray is poorly defined with floating-point input; it's not well documented but the function assumes the input is laid-out as unsigned 8-bit integers. To produce the output you're trying to get, multiply by 255 and convert to uint8: z = (z * 255).astype(np.uint8) The reason it seems to work with the random array is that the bytes in ...

4. create a black image with specified size, depth, channels with...

   stackoverflow.com/questions/40901906

   I want to create a black image with cv2 module in opencv. Python is prefered. It seems I should use numpy to do it but I do not know how to do it.

5. html - Change color of PNG image via CSS? - Stack Overflow

   stackoverflow.com/questions/7415872

   CSS filter generator to convert from black to target hex color. for example i needed my png to have the following color #1a9790. then you have to apply the following filter to you png. filter: invert(48%) sepia(13%) saturate(3207%) hue-rotate(130deg) brightness(95%) contrast(80%);

6. OpenCV2 imwrite is writing a black image - Stack Overflow

   stackoverflow.com/questions/54165365

   You have to pass an image composed of values in the range [0, 255]. In your case, you are passing values that are all close to zero and "far" away from 255. Hence, the image is assumed as colorless and therefore black. A quick fix might be: cv2.imwrite("dogey.jpg", 255*output) answered Jan 13, 2019 at 2:15.

7. image processing - Crop black edges with OpenCV - Stack Overflow

   stackoverflow.com/questions/13538748

   I am not sure whether all your images are like this. But for this image, below is a simple python-opencv code to crop it. first import libraries : import cv2. import numpy as np. Read the image, convert it into grayscale, and make in binary image for threshold value of 1. img = cv2.imread('sofwin.png')

8. html - Add a dark overlay to background image - Stack Overflow

   stackoverflow.com/questions/34702477

   A second solution would be to add the original background image to .header and have the styles from h1 given to #overlay and with a bit of tweaking that should also do the trick. And yet another possible solution (similar to the second one) you can add the background-image to overlay and have the h1 styles from the example I gave to #header1 or ...

9. Create a new RGB OpenCV image using Python? - Stack Overflow

   stackoverflow.com/questions/12881926

   import cv2 # Not actually necessary if you just want to create an image. import numpy as np blank_image = np.zeros((height,width,3), np.uint8) This initialises an RGB-image that is just black. Now, for example, if you wanted to set the left half of the image to blue and the right half to green , you could do so easily:

10. My camera takes black pictures. How do I fix it?

    www.ifixit.com/Answers/View/36871

    A stuck shutter is a common failure mode for digital cameras. The symptoms of a stuck or "sticky" shutter are very similar to CCD image sensor failure. The camera may take black pictures (for shutter stuck closed), or the pictures may be very bright and overexposed, sometimes with lines, especially when taken outdoors (for shutter stuck open).

11. How can I create an empty n*m PNG file in Python?

    stackoverflow.com/questions/12760389

    You can use the method PIL.Image.new() to create the image. But the default color is in black. To make a totally white-background empty image, you can initialize it with the code: from PIL import Image img = Image.new("RGB", (800, 1280), (255, 255, 255)) img.save("image.png", "PNG") It creates an image with the size 800x1280 with white background.