
Moqups
Balsamiq
Invision
Axure
UXpin
Proto.io
Fluid UI
Zeplin
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Moqups
Scikit ImageScikit Image might be a bit more popular than Moqups. We know about 7 links to it since March 2021 and only 5 links to Moqups. 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.
We need to determine the look and functionality of each view in the app. One of the best approaches is to draw each view of the app either using a mockup tool or on paper, this will give you a good idea of what information and data you're planning to have on each page. - Source: dev.to / over 1 year ago
Moqups: Simple tool for creating wireframes and mockups. - Source: dev.to / over 1 year ago
Functions edit, add, remove post are for authorized persons (of course), that's why you have to make a new page with its layout by using Moqups, for example. - Source: dev.to / about 5 years ago
I would also look at https://moqups.com/ if super-high-fidelity screens are not required. Source: about 5 years ago
A mockup takes a wireframe to the next level. Depending on how confident you are in the design youโre proposing, you can create a basic mockup or put it more details, like images, colors and even some functionality. You can use tools like Mockflow and Moqups. Source: about 5 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
Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.
OpenCV - OpenCV is the world's biggest computer vision library
Invision - Prototyping and collaboration for design teams
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Axure - The most powerful way to plan, prototype and hand off to developers, all without code. Download a free trial and see why professionals choose Axure RP 9.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.