Image processing
Digital image processing is the use of algorithms to make computers analyze the content of digital images.
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I'm using this project to train my segmentation model. I find that the mask has a right-down offset to the image. Because the opencv resize_nearest is wrong. Please refer the opencv project issue:
https://github.com/opencv/opencv/issues/9096
https://github.com/opencv/opencv/issues/10146
The code of opencv is:
` for( x = 0; x < dsize.width; x++ )
{
int sx = cv
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Description
when using structural_similarity
when the images are small (<7 in any dimension) a ValueError
gets thrown, but with the wrong text:
ValueError: win_size exceeds image extent. If the input is a multichannel (color) image, set multichannel=True.
Instead of misleading the user into thinking there's something wrong with the way they read in, or converted, their i
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🚀 Feature
Now we have 2 functions, homography_warp
, warp_perspective
, which have similar functionality, but differ in the format of the input: warp_perspective
expects a pixel homography, whereas homography_warp
wants normalized homography.
This can be merged into a single function with an input flag like normalized_homography
.
Motivation
This discrepancy confuses peopl
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System information (version)
Detailed description
When running cv2.seamlessClone() the error is a bit misleading when the incorrect image path is supplied. It doesn't make it obvious that the problem is in the path
Steps to reproduce