It is very well built with simplicity in mind. There are several themes and all of them look amazing. I love the "typewriter" and "focus" mode. In contrast with other apps that focus the current window and remove all visibility options, Typora goes one step ahead and fades down all other paragraphs as well.
Based on our record, Typora should be more popular than Amazon Rekognition. It has been mentiond 84 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.
Typora.. https://typora.io/ And keep each chapter as separate file…. - Source: Hacker News / 7 months ago
If Lexeme is similar to Typora (https://typora.io), it could be fantastic and might even surpass Typora in terms of quality. On the other hand, if Typora already has these features, it's quite powerful. - Source: Hacker News / 7 months ago
Just FYI, the direct answer to your question is Typora: https://typora.io/. - Source: Hacker News / 7 months ago
Evernote was ok for a little bit, but the only thing it really did for me was search... Once I realized that I switched tactics. I organized my life into domains, and got okay at using grep to replace it. My saving grace that I would pay twice for is https://typora.io. Though worth mentioning Apple Notes has come a long way. - Source: Hacker News / 11 months ago
Typora https://typora.io/ Open source — https://hackmd.io/ I’ve used all three, the first two are are WYSIWYG. All are collaborative. HackMD has a nice two window editor that renders MD as you type. Curious how Vrite compares with these. - Source: Hacker News / 12 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 / 2 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: 11 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: about 1 year ago
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