
Affinity Designer
Sketch
Inkscape
Adobe Illustrator
Adobe Photoshop
Canva
Adobe InDesign
GIMP
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Affinity Designer
Scikit ImageBased on our record, Affinity Designer should be more popular than Scikit Image. It has been mentiond 47 times since March 2021. 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.
Well, there is Serif's suite: https://affinity.serif.com/en-us/designer/ (There's also a Photo and page layout app) or the open-source stuff: - https://krita.org/en/ - https://inkscape.org/ - https://www.scribus.net/. - Source: Hacker News / about 2 years ago
There's Affinity Designer, too. https://affinity.serif.com/en-us/designer/. - Source: Hacker News / almost 3 years ago
Affinity Designer (https://affinity.serif.com/en-us/designer/) is a good choice for doing layouts, although Scribus (https://www.scribus.net/) may be all that you need depending on the complexity of your layouts. Source: about 3 years ago
Done in Serif Affinity Designer as a learning execise I guess. Source: over 3 years ago
You'll need inkscape. It's free at inkscape.org. Affinity Designer can do the same job. It's $70 at https://affinity.serif.com/en-us/designer/. Source: over 3 years 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 / over 2 years 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 / over 2 years 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 3 years 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: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 4 years ago
Sketch - Professional digital design for Mac.
OpenCV - OpenCV is the world's biggest computer vision library
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Adobe Illustrator - Adobe Illustrator is a vector graphics editor.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.