Image processing
Digital image processing is the use of algorithms to make computers analyze the content of digital images.
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Add Seam Carving transform for images, masks, bounding boxes, landmarks:
https://www.pyimagesearch.com/2017/01/23/seam-carving-with-opencv-python-and-scikit-image/
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This feature is implemented in many graphics hardwares at least of most gaming consoles. Adding this feature would enable ImageSharp to natively allow for these specifications of graphics hardware to be supported out of the box.
As per OpenCV naming and implementation this feature is most likely known as "Remapping" or "Point remapping". So as the naming goes, it should incorporate either one.
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Jul 24, 2020 - C#
Description
When using flood_fill, there is a consistent double free error and a dying kernel (as shown in the output from Jupyter) when using a negative row coordinate for the point where the fill starts.
Way to reproduce
import numpy as np
from skimage import segmentation
a = np.random.randint(0, 2, (100,100))
#for r in range(a.shape[0]):
# segmentation.flo-
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Please enable cv.imencode and cv.imdecode in opencv.js while supporting PNG, JPEG and WEBP.