Based on our record, ImageMagick seems to be a lot more popular than Scikit Image. While we know about 79 links to ImageMagick, we've tracked only 7 mentions of Scikit Image. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
ImageMagick is a pretty standard tool for image manipulation and it's got a pretty powerful command line interface which honestly is often overwhelming but fortunately there are plenty of forums, stack overflow, etc to get good examples. - Source: dev.to / 7 months ago
The graphics then turned to the 9-bit palette and 15 or 16 colours with the ImageMagick. Source: 8 months ago
But it can be quite large. You can also use the appropriate "start" and "duration" options to selectively get a portion out. Animated gifs are pretty inefficient as it is so I'm usually happy with the above, and make sure to only restrict to 5-10s max, but there are other programs to try and help reduce the size, like gifsicle [1] and imagemagick [2]. [0]... - Source: Hacker News / 8 months ago
I used to do stuff like this programmatically with ImageMagick. https://imagemagick.org/index.php. Source: 10 months ago
Yup don't worry. ImageMagick is a command line image processing tool. Byobu is a terminal manager that lets you run multiple virtual terminals inside it. Super useful if you're SSHing to a remote machine and need to run multiple terminals. Source: 10 months ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / 9 days ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 1 year ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 1 year ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 2 years ago
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