
Android Studio
Xcode
Microsoft Visual Studio
IntelliJ IDEA
VS Code
Sublime Text
PyCharm
Netbeans
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Android Studio
Scikit ImageAndroid Studio is recommended for anyone developing Android applications, including individual developers, development teams, students, and educators. It is also well-suited for those who want to leverage Google's developer tools and services in their Android projects.
Based on our record, Android Studio seems to be a lot more popular than Scikit Image. While we know about 178 links to Android Studio, 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.
They've always offered a bundle of the command line tools separately to Android Studio: https://developer.android.com/studio#:~:text=Command%20line%20tools%20only. - Source: Hacker News / 4 months ago
Android SDK + NDK โ the easiest way is to install Android Studio, which bundles both. Make sure NDK is installed (Android Studio > Settings > SDK Manager > SDK Tools > NDK). - Source: dev.to / 5 months ago
In order to run games we need a virtual machine, Android Studio both developed by Google, goes on hand in hand with Flutter. It provides the ability to create emulators for multiple devices in order to simulate how an application runs on its intended environment with the luxury of being able to edit and run your changes in real time. - Source: dev.to / 5 months ago
Following this Kotlin coroutine codelab, you'll find where to download Android Studio. You'll also find the related github for Kotlin coroutine. Then, by opening the coroutines-codelab folder through Android Studio, you might encounter the following Error. - Source: dev.to / over 5 years ago
IntelliJ IDEA or Android Studio (both are essentially the same). - Source: dev.to / 8 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 / 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
Xcode - Xcode is Appleโs powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
OpenCV - OpenCV is the world's biggest computer vision library
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.