Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing and delivering users’ content.
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While Uploadcare products have been disrupting the traditional content delivery market since 2011, the company has now become a reliable technologicalpartner in marketplaces, e-commerce, e-learning, SaaS, and healthcare industries.
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The platform fits the developers' needs, from building passion projects and simple websites to large-scale applications managing tons of digital media.
Based on our record, OpenCV should be more popular than Uploadcare. It has been mentiond 50 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.
Feel free to learn more about Uploadcare, and explore other tutorials, such us how to upload files with React or Angular, or considering what kind of magic you can do with the uploaded images following our extracting colors guide 🎨. - Source: dev.to / 9 months ago
Sign up for an Uploadcare account: Go to the Uploadcare website and sign up for an account. You will need to provide your email address and create a password. - Source: dev.to / over 1 year ago
Only answer: Https://uploadcare.com/. Source: almost 2 years ago
Side note, https://uploadcare.com/ looks pretty reasonably priced? Source: almost 2 years ago
Some good file storage for web, like this: https://uploadcare.com/. Source: about 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 / 5 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Filestack - Simple file uploader and robust APIs for uploading, transforming, and delivering any file into your app. Filestack is a collection of tools and powerful APIs that make it simple to upload, transform, and deliver content.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Uppy - The next open source file uploader for web browsers
NumPy - NumPy is the fundamental package for scientific computing with Python