GroundingDINO
Grounded-Segment-Anything
GroundingDINO | Grounded-Segment-Anything | |
---|---|---|
5 | 11 | |
5,125 | 13,672 | |
9.2% | 3.5% | |
6.3 | 8.0 | |
14 days ago | about 19 hours ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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GroundingDINO
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Autodistill: A new way to create CV models
Some of the foundation/base models include: * GroundedSAM (Segment Anything Model) * DETIC * GroundingDINO
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Is there a way to do segmentation of a person's clothing?
While Segment Anything can detect objects based on text prompts, that's not its strong suite. To get best results, folks usually combine it with Grounding DINO, which is a great object detection model. You run Grounding DINO with text prompt "skirt", this gives you a bounding box that you pass to Segment Anything, which gives you a segmentation mask that you can then use for inpainting with SD.
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Searching for Guidance on Developing an AI Bot for SSBU Training
Now, let's delve into the technological aspects of this project. The combination of Facebook's Segment Anything and Grounding Dino tools will automate annotations for image processing, which is key to this AI endeavor. I'm also intrigued by Mojo, a new programming language designed specifically for AI developers, which will soon be open-source.
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[D] Object Detection Machine Learning
Right now we are trying out grouding dino on this but it is giving a lot of noise and detecting things that are not cracks.
- [D] Data Annotation Done by Machine Learning/AI?
Grounded-Segment-Anything
- Tooling for bulk image data set manipulation?
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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.
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[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
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why isnt grounding dino working?
GroundingDINO install failed. Please submit an issue to https://github.com/IDEA-Research/Grounded-Segment-Anything/issues.
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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?
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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
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[P] Grounded-Segment-Anything: Zero-shot Detection and Segmentation
here is the GitHub link: https://github.com/IDEA-Research/Grounded-Segment-Anything
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.
Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
sd-webui-segment-everything - Segment Anything for Stable Diffusion Webui [Moved to: https://github.com/continue-revolution/sd-webui-segment-anything]
ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
ABG_extension
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
SmashBot - The AI that beats you at Melee
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
LAVIS - LAVIS - A One-stop Library for Language-Vision Intelligence
OFA - Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework