DIS
anylabeling
| DIS | anylabeling | |
|---|---|---|
| 12 | 6 | |
| 2,000 | 1,881 | |
| - | - | |
| 4.8 | 6.0 | |
| 3 months ago | 12 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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DIS
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[D] What is the current best, trainable method for image segmentation?
Hello, I had some succes using this repo : https://github.com/xuebinqin/DIS
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Newgen / regen face revamp project (AI powered) - once and for all!
DIS
- Segment Anything Demo by Meta AI
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Useful utilities that will help when trying to make stuff
Rembg only adds to my frustration. It's a half-assed solution providing sub-par results and acting as a band-aid for the fundamental absence of any transparency handling in diffusion models. DIS is better, but it's a pain to set up and still often needs retouching. Trying to remove backgrounds post-generation will always be an uphill battle because the information just isn't there.
- Just a reminder that there is a new 'remove background' extension for a1111
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PSD layers for characters using Stable Diffusion?
also try to look into https://github.com/xuebinqin/DIS cuz it may help to either achieve the result straight away, or to make a dataset for layering lora if each picture takes to much touch up
- Can Stable Diffusion output PNG files with Alpha Channel (transparent)?
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Computer Vision Free Lancer
Also checkout https://github.com/xuebinqin/U-2-Net. They have a new version in this repo: https://github.com/xuebinqin/DIS
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Wolf in Inkpunk style - Stable Diffusion Tutorial
If you want some tricks to make this smoother, try masking the wolf upfront in each frame and then only replacing the wolf itself with the pixels from sd on the second frame and onward. Keep the first frame's sd output for the background stable or change it less quickly. I've found good results segmenting with this, but lots of good options on foreground segmentation are available.
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What software can I use to achieve this kind of sketch?
For instance, click "open in colab" at the top of this Image Segmentation notebook
anylabeling
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AnyLabeling Auto-labeling with MobileSAM - the newest and fastest variant of Segment Anything
Check out AnyLabeling v0.3.2 today: https://github.com/vietanhdev/anylabeling/releases/tag/v0.3.2.
- AnyLabeling - Image Labeling tool with Auto Labeling from Segment Anything + YOLOs
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labelme VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
AnyLabeling is a desktop app for image data labeling. It is a fork of LabelMe with upgraded UI and AI-assisted labeling with Segment Anything and YOLO models.
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labelImg VS anylabeling - a user suggested alternative
2 projects | 15 Apr 2023
AnyLabeling is a desktop app for image data labeling. It is a fork of LabelMe with upgraded UI and AI-assisted labeling with Segment Anything and YOLO models.
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AnyLabeling v0.2.2 now supported all Segment Anything models (ViT-B, ViT-L, ViT-H) + YOLOv5 + YOLOv8 for auto labeling
We also fixed some bugs from the last release and improved model performance. Check out at: https://github.com/vietanhdev/anylabeling We will love to hear your feedback to improve this program. Discussion at: https://github.com/vietanhdev/anylabeling/discussions/30
- Segment Anything Demo by Meta AI
What are some alternatives?
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.
autodistill - Images to inference with no labeling (use foundation models to train supervised models).
rembg - Rembg is a tool to remove images background
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
stable-diffusion-webui-rembg - Removes backgrounds from pictures. Extension for webui.
NewGAN-Manager - A tool to generate and manage xml configs for the Newgen Facepack.
labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
MobileSAM - This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
ABG_extension
segment-anything-video - MetaSeg: Packaged version of the Segment Anything repository