hbornfree

7 ms·

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by hbornfree 2y ago
Thanks for this! I have the exact use-case and have been using a Python script to do this for a while.
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Show HN: WebGL-based talking avatar. ChatGPT with a face?(github.com)
2 points by hbornfree 4y ago|1 comments
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Show HN: Color correct underwater footage with Python(github.com)
2 points by hbornfree 4y ago|0 comments
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by hbornfree 5y ago
Hello HN, This is Harsha, from the team at 3difyMe. We rolled out the first version of 3difyMe a week ago and wanted to get some feedback from HN community. <TLDR> 3difyMe converts flat photos of T-shirts and other apparel into 3D mod
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Show HN: We're building a virtual studio for apparel – 3difyMe(3dify.me)
10 points by hbornfree 5y ago|4 comments
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by hbornfree 5y ago
What's happening behind the scenes? Without knowing that it's hard to take the claim of 'no server involvement' at face value. Does the sender have to be up for the receiever to receive?
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by hbornfree 5y ago
Given how impossible it is achieve global consensus on policy, I'm pretty inclined to believe that a technological breakthrough is the only solution. Maybe a series of them. In the best case, carbon removal and sequestration tech. In t
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by hbornfree 5y ago
This does resonate with me! Happy to discuss and help you where possible. How can I reach out to you? Or maybe you can send me a 'hi' at harsha.xg{at}gmail.com?
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by hbornfree 5y ago
Thanks for the suggestions @warrenm. While I understand the importance of climate awareness and community building, I'm afraid that isn't where I shine. Anything more technical, maybe in the fields of camera-traps, drone deploymen
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Ask HN: How do I help wildlife conservation and ecology with tech?
2 points by hbornfree 5y ago|4 comments
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by hbornfree 8y ago
We are interested to solve the reverse problem of finding the mask of text given an image with text on it. Any ideas? Machine-learnt or otherwise.
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Generate millions of graphic design images for training(github.com)
3 points by hbornfree 8y ago|1 comments
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by hbornfree 8y ago
+1 Will help many devs who do remote work and have to take calls.
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by hbornfree 8y ago
We haven't decided on the pricing nor implemented it in code. That's the next thing to do. Probably we'll roll out both bundles ($x for y images) or subscriptions. As for the copy, you're right. We need a lot of improvem
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by hbornfree 8y ago
> takes many hours to manually do this right now This was also the original problem we set out to solve. Thank you for letting us know that more people share the same problem. Unfortunately we haven't yet gotten it into the hands of
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by hbornfree 8y ago
It does OCR ofcourse. Pipeline is roughly: OCR -> Text property identification -> Inpainting -> Region averaging -> Translation -> Fitting Please have the LSP try it out and see if offers some value.
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by hbornfree 8y ago
By integrating the tool to professional CAT tools we're guessing. Businesses almost always never buy machine translated output
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by hbornfree 8y ago
Thank you for the feedback! Will fix it right away
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by hbornfree 8y ago
It isn't. ANd as mentioned in the blog post, we want to discuss how it works in the next post and open source as much as we can. We're built on open-source stuff after all. :)
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by hbornfree 8y ago
Yes we do know of Project Naptha. Infact I personally used it a couple of years ago. imgtranslate also has a text region identification module (through clustering mechanisms) but I have to admit it's not that great at the moment. So I&
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by hbornfree 8y ago
What you're describing sounds like the Google Translate camera feature(erstwhile WordLens). If you haven't tried it out, you should. Works quite well on photos taken on phone for signboards etc. We are little particular about what
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by hbornfree 8y ago
Hello everyone! The creator of imgtranslate here. Happy to discuss anything on tech and product. The current stack uses a good dose of traditional(OpenCV) and neural implementations. And we're actively pursuing LSPs(Language Service P
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Show HN: A tool to translate images across languages(blog.imgtranslate.com)
68 points by hbornfree 8y ago|20 comments
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by hbornfree 10y ago
This is terrific! Very coincidentally, we were thinking of implementing a sentence de-noiser using sequence-to-sequence models only today evening. I work in the NLP domain writing Machine Translation systems. But NLP parsers are accurate fo
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by hbornfree 11y ago
Not Caffe. We're using a light weight in-house library which compiles and runs easily on mobile devices too. The advantage is primarily in size as we don't need as many features as a full blown framework like Caffe.
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by hbornfree 11y ago
A friend did say that about the quote. I wanted to get more opinions. Will have to take it down today then. Thanks for the feeddback though. :)
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by hbornfree 11y ago
The main programmer here. For the technically curious, the ingredients of the image processing are OpenCV and CNNs(Convolutional neural nets). On design aspects, we wrote a short post here: http://blog.taglev.com/design-phi
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Show HN: Short URLs and Better Image Processing for a Simpler QR Alternative(taglev.com)
8 points by hbornfree 11y ago|7 comments
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by hbornfree 11y ago
Yes, even we found Caffe to be overwhelming. This library seems promising considering there are no dependencies and is quite portable to Android or iOS. https://github.com/nyanp/tiny-cnn
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by hbornfree 11y ago
As others pointed out, Tesseract with OpenCV (for identifying and cropping the text region) is quite effective. On top of that, Tesseract is fully trainable with custom fonts. In our use case, we've mostly had to deal with handwritten

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