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Segment-Everything-Everywhere-All-At-Once Alternatives
Similar projects and alternatives to Segment-Everything-Everywhere-All-At-Once
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segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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Segment-Everything-Everywhere-All-At-Once reviews and mentions
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Is supervised learning dead for computer vision?
Yes, you can. The model that I was talking about LLaVA only output text but other models such as SEEM (https://github.com/UX-Decoder/Segment-Everything-Everywhere-...) outputs a segmentation map. You could prompt the model "Where is the pickleball in the image?" and get a segmentation map that you could then use to compute its center. Please let me know if you would be interested to have SEEM available in Datasaurus
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The less i know the better
I think people are just seeing the rate of progress and rightfully think that this stuff will be possible at some point. For the rotoscoping for example, here's an example of progress being made on that.
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A robot showing off his moves
Yeah, it's definitely possible especially with all the recent advances. With segment anything systems (like SAM) and segmentation on NeRF reconstructions already being a thing the feasibility of this is more a time investment thing. Naive "scene understanding" is already possible in a few AR headsets at real-time, but the new papers in the past few weeks have made this much more trivial and faster to implement.
- Seem: Segment Everything Everywhere All at Once
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[R] SEEM: Segment Everything Everywhere All at Once
Play with the demo on GitHub! https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once
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A note from our sponsor - WorkOS
workos.com | 29 Apr 2024
Stats
UX-Decoder/Segment-Everything-Everywhere-All-At-Once is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Segment-Everything-Everywhere-All-At-Once is Python.
Popular Comparisons
- Segment-Everything-Everywhere-All-At-Once VS segment-anything
- Segment-Everything-Everywhere-All-At-Once VS Segment-Everything-Everywhere-
- Segment-Everything-Everywhere-All-At-Once VS LLaVA
- Segment-Everything-Everywhere-All-At-Once VS guidance
- Segment-Everything-Everywhere-All-At-Once VS LoRA
- Segment-Everything-Everywhere-All-At-Once VS autodistill
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