Rembg is recommended for developers, graphic designers, and content creators who need a reliable and efficient way to remove backgrounds from images as part of their workflow. It is also suitable for anyone looking to automate image background removal in their projects or applications.
Dropspace is recommended for digital artists who want a straightforward platform to display and sell their art. It is also suitable for collectors interested in exploring and acquiring new digital artworks from emerging talent in the industry.
Based on our record, Rembg seems to be more popular. It has been mentiond 15 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.
Another approach for background removal is to use rembg. This method requires only one API call, making it more cost-effective, though it may result in differences in extraction accuracy. - Source: dev.to / 7 months ago
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. Source: over 1 year ago
You can use Rembg extension to remove background automatically: https://github.com/danielgatis/rembg. Source: almost 2 years ago
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... Source: almost 2 years ago
A python script with rembg could work. Source: about 2 years ago
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