Grounded-Segment-Anything
genalog
| Grounded-Segment-Anything | genalog | |
|---|---|---|
| 11 | 1 | |
| 13,672 | 296 | |
| 3.9% | 1.7% | |
| 8.0 | 0.0 | |
| 4 days ago | 4 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Grounded-Segment-Anything
- Tooling for bulk image data set manipulation?
-
Is there a way to do segmentation of a person's clothing?
Grounded SAM is a project that tries to combine these steps in a single workflow, but I am not sure how far it has come along. Might be worth checking out, but it also isn't too difficult to combine the three models by hand.
-
[P] ImageBind with SAM: A simple demo the generate mask with different modalities
We build a simple demo ImageBind-SAM here which aims to segment with different modalities
-
why isnt grounding dino working?
GroundingDINO install failed. Please submit an issue to https://github.com/IDEA-Research/Grounded-Segment-Anything/issues.
-
You can now use text+SAM+SD inpainting/LoRA Training in SD-WebUI-Segment-Anything Extension
This is because C++ is somehow not compiled. Check https://github.com/IDEA-Research/Grounded-Segment-Anything/issues/53 too see whether it’s working, otherwise search through similar issues. Let me know which solution works. Remember that ‘export’ on windows is ‘set’, and you should make sure that CUDA_HOME exists in your environment variable.
- [D] Data Annotation Done by Machine Learning/AI?
-
SD Webui + Segment Everything
I'm glad to do so after I implement this.
- [R] Grounded-Segment-Anything: Automatically Detect , Segment and Generate Anything with Image and Text Inputs
-
[P] Grounded-Segment-Anything: Zero-shot Detection and Segmentation
here is the GitHub link: https://github.com/IDEA-Research/Grounded-Segment-Anything
genalog
-
Microsoft Unveils Genalog: An Open Source, AI Cross-Platform Python Package For Generating Document Images With Synthetic Noise
Github: https://github.com/microsoft/genalog
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.
deep-text-recognition-benchmark - Text recognition (optical character recognition) with deep learning methods, ICCV 2019
sd-webui-segment-everything - Segment Anything for Stable Diffusion Webui [Moved to: https://github.com/continue-revolution/sd-webui-segment-anything]
SDV - Synthetic data generation for tabular data
ABG_extension
synthetic-data-genomics - Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data.
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Copulas - A library to model multivariate data using copulas.
GroundingDINO - Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
nist-crc-2023 - NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!