Kivy might be a bit more popular than Amazon Rekognition. We know about 46 links to it since March 2021 and only 33 links to Amazon Rekognition. 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 will create this complete Python registration form using Kivy. We get started by installing Kivy, a powerful Python framework for building interactive applications. - Source: dev.to / 3 months ago
For reference, YouTube runs on Python[1,2,3]: > 1. Python and Django: YouTube’s backend is predominantly written in Python, offering a balance of performance and readability. > 2. Google Cloud Platform... > 3. Java and C++: YouTube also utilizes Java and C++ for specific backend services, as they provide better performance for certain tasks. --- A long time ago, I looked into these Python frameworks: -... - Source: Hacker News / 5 months ago
I suggest you use kivy which is suitable for the desktop but also has the advantage of being one of few options for creating Python based native(ish) mobile apps (for IoS and Android app stores). Source: 7 months ago
I think the best one right now for python is "beeware": https://beeware.org/ You also have Kivy which is prety good: https://kivy.org/. - Source: Hacker News / 7 months ago
I'm a big fan of https://kivy.org/ it looks modern and has a wide range of components. - Source: Hacker News / 10 months ago
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 11 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 12 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: over 1 year ago
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