Based on our record, Amazon Rekognition should be more popular than Vimwiki. It has been mentiond 33 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.
I wrote a manuscript in vim a couple Novembers ago, for NaNoWrimo. I used a couple plugins, primarily Goyo [1] to add some margins, but otherwise, yeah, plain vim. I don't think it was really any more productive than my current workflow in Obsidian. Vim keybindings are more useful for editing than for writing (and for editing code in particular, where the changes you're making are much more structured). Also,... - Source: Hacker News / 11 months ago
I have created full on programs to systematically created screenshots with the game emulators with RetroArch. Also an automation tool to use a preexisting program named chdman that converts files into a needed format (also unpacking from archives). A little Python script to create a recents list of files for Vimwiki. I also created a program to access 🌈 emojis 🌈. I wrote my own GE Proton downloader and manager.... Source: about 1 year ago
I use VimWiki inside of Neovim, with additional Plugins/configurations. Lightweight and let's you use the power of (Neo)Vim. Source: over 1 year ago
Well, Zettelkasten looks to me much like wiki. And standard wiki solution for vim is https://vimwiki.github.io/ and it should work quite well for you. Also, it is all plain text files so conversion should not be that difficult. Source: almost 2 years ago
I end up taking linear notes in a text file, with un-resolved or in-progress items at the bottom. They get pushed downward linearly until they are finished, at which point they get immortalized in the greppable daily log above. Requires a lot of discipline and doesn't have a lot of structure, but having the "working area" next to the journal has served me well. I use vimwiki[1] for most of the editing, in addition... - Source: Hacker News / about 2 years 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: 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
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
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