Adds Feature: transparent pixels #57
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When using opencv as the `locateall` function, adds three additional keywords `alpha` and `method`, and `hardedge` when `alpha` is set to true, `method` must be set to either cv2.TM_SQDIFF and cv2.TM_CCORR_NORMED, otherwise opencv will end up raising a "not implemented error" additionally, `hardedge` can be set to `False`, to not "expand" the transparency. by default the image will be "crop" any alpha less than or equal to 128 to transparent, and any alpha above 128 will be considered non-transparent
Adds support for matchTemplate with transparency
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@asweigart lmk if you have any interest in this functionality or not. Id be willing to throw in some tests as well, if you have any images you think would be good canidates to test effectiveness. I don't have much experience in this field so idk what pictures to choose. |
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Thums up for that |
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@BrettMoan This now has conflicts |
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For a personal project, i wanted to use
pyautoguithat usespyscreezeas a dependancy.I needed to do template matching with images that have an alpha channel, where the background is meant to be "transparent". as i dug into the code i realized this has been requested in the past but no one worked on it, so i decided to get it working locally in my copy of
pyscreezebefore submitting this pull request.this is actually my first attempt in playing with computer vision, so I did a lot of googling and fiddling with this stackoverflow answer to which I credit most of the logic.