rembg VS enso

A bit conflicted as the linked video is also linked from the actual rembg repo but it seems way faster and more detailed to just read the readme at that repo first, and maybe use a video if something doesn’t make sense.

There are open source tools like rembg (https://github.com/danielgatis/rembg) which call into pre-trained models.

You can use Rembg extension to remove background automatically: https://github.com/danielgatis/rembg

Hi guys 📷 I am new to ml deployment. Can anyone help about production deployment ? I made fastapi docker app which removes background from image (https://github.com/danielgatis/rembg). It uses u2net segmentation. I tried aws ec2, lambda, googld cloudrun and so far ec2(t2-large) is the fastest but still too slow. Also, it costs way more than I expected. Are there any other solution that I can deploy ml app with as low as possible? Where do you guys mostly deploy ml app?

I am currently using rembg https://github.com/danielgatis/rembg

rembg

A python script with rembg could work

4.) rembg -- backgrounds be gone. If there isn't an extension in Automatic1111 for this yet, there should be (I haven't checked recently). Same deal as midas, you can point it at a folder and zap the backgrounds off of all your images. Useful in combo with midas and imagemagick if, for instance, you want images of an object on a white background (Stable Diffusion training via LoRAs/Dreambooth may not benefit, but other things like GANs prefer that sort of training image). Useful if you want to "compose" a scene and you have images of dispirate objects/people you want in that scene.

Ran into another issue with " LoadLibrary failed with error 126 Here's the solution: https://github.com/danielgatis/rembg/issues/312

> At least I have yet to see one that is actually useful in the sense of a generic (or even a single-purpose-built) language

Yeah as said, https://github.com/enso-org/enso seems to be a general purpose functional programming language with visual editor, but otherwise I haven't really seen any no-code solutions worth their salt. I'm not particularly a fan of enso either, but it's the best I've seen.

Although it's not quite the same, I do like what Enso[0] is bringing to the table, especially the 1:1 visual node/language interop. Whether this is generalisable to a fully decoupled interface remains to be seen, but there's definitely potential.

[0]: https://enso.org/

I think Enso is already taken by a YC company [0]. Could get confusing.

[0] https://enso.org

COMPANY: Enso Inc. TYPE: Full time LOCATION: Europe and United States of America – fully distributed company REMOTE: Only remote VISA: No VISA required DESCRIPTION: Hi, we are Enso (enso.org, Y Combinator S21)! We are looking for an amazing Cloud engineer to join our core team. We are a remote first company, working in Europe and the USA.

Friends of mine are developing Enso (https://enso.org/), an interactive programming language with dual visual and textual representations.

Even well before Bret Victor's time, there were tools for visual programming. I have been using LabView to maintain data processing in an optical laboratory.

> I'm convinced this entire space should be visual.

At my last 2 jobs I spent entirely too much time debugging Matillion jobs, which are visual. I have my doubts that it’s the panacea that it appears to be.

That said, you may find Enso particularly interesting: https://github.com/enso-org/enso