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Based on our record, OpenCV seems to be a lot more popular than PUBLIC APIs UI. While we know about 50 links to OpenCV, we've tracked only 3 mentions of PUBLIC APIs UI. 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.
Public-api Github Repo : https://github.com/public-apis/public-apis Rapid API : https://rapidapi.com/collection/list-... API House : https://apihouse.vercel.app/ Free APIs: https://free-apis.github.io/#/ Dev Resources : https://devresourc.es/tools-and-utili... AnyApi: https://any-api.com/ Public Apis : https://public-apis.io/ API List : https://apilist.fun/ Public APIs: https://public-apis.xyz/ Public... - Source: dev.to / about 1 year ago
APIs are everywhere and there are all kinds. There is a Star Wars API and a number facts API. Large companies like Facebook have APIs. Here is a collection of a bunch of other APIs. Whatever you're looking for, there is probably an API for it. Once you use a few you realize that they all operate pretty much the same way, with maybe a few idiosyncrasies. You'll need to understand http requests and asynchronous... - Source: dev.to / over 2 years ago
Https://public-apis.xyz/ Check these out though. Source: 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 / 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: 9 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: 9 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: 11 months ago
API List - A collective list of APIs. Build something.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
APIsentris - Build APIs instantly from MySQL, PostgreSQL, Google BigQuery and more
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
The Unsplash API - No-limits, do-what-you-want API for access to 200K+ HD pics.
NumPy - NumPy is the fundamental package for scientific computing with Python