Linking pages
- GitHub - facebookresearch/segment-anything-2: The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. https://github.com/facebookresearch/segment-anything-2 147 comments
- GitHub - facebookresearch/watermark-anything: Official implementation of the paper "Watermark Anything with Localized Messages" https://github.com/facebookresearch/watermark-anything 107 comments
- New AI model can “cut out” any object within an image—and Meta is sharing the code | Ars Technica https://arstechnica.com/information-technology/2023/04/meta-introduces-ai-model-that-can-isolate-and-mask-objects-within-images/ 76 comments
- Segmenting Comic book Frames | Vrroom’s Blog https://vrroom.github.io/blog/2024/02/23/comic-frame-segmentation.html 47 comments
- GitHub - YavorGIvanov/sam.cpp https://github.com/YavorGIvanov/sam.cpp 31 comments
- GitHub - sail-sg/EditAnything https://github.com/sail-sg/EditAnything 24 comments
- GitHub - IDEA-Research/Grounded-Segment-Anything: Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything https://github.com/IDEA-Research/Grounded-Segment-Anything 15 comments
- GitHub - danielgatis/rembg: Rembg is a tool to remove images background https://github.com/danielgatis/rembg 9 comments
- GitHub - 0ssamaak0/DLTA-AI: Data Labeling, Tracking and Annotation with AI https://github.com/0ssamaak0/DLTA-AI 8 comments
- GitHub - IDEA-Research/GroundingDINO: The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection" https://github.com/IDEA-Research/GroundingDINO 6 comments
- GitHub - tensorchord/Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers https://github.com/tensorchord/Awesome-LLMOps 5 comments
- GitHub - facebookresearch/sam2: The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model. https://github.com/facebookresearch/sam2 5 comments
- GitHub - z-x-yang/Segment-and-Track-Anything: An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes. https://github.com/z-x-yang/Segment-and-Track-Anything 4 comments
- Grounded-Segment-Anything/playground/ImageBind_SAM at main · IDEA-Research/Grounded-Segment-Anything · GitHub https://github.com/IDEA-Research/Grounded-Segment-Anything/tree/main/playground/ImageBind_SAM 4 comments
- GitHub - gaomingqi/Track-Anything: Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI. https://github.com/gaomingqi/Track-Anything 3 comments
- GitHub - wladradchenko/wunjo.wladradchenko.ru: Wunjo AI: Synthesize & clone voices in English, Russian & Chinese, real-time speech recognition, deepfake face & lips animation, face swap with one photo, change video by text prompts, segmentation, and retouching. Open-source, local & free. https://github.com/wladradchenko/wunjo.wladradchenko.ru 3 comments
- awesome-marketing-datascience/awesome-ai.md at master · underlines/awesome-marketing-datascience · GitHub https://github.com/underlines/awesome-marketing-datascience/blob/master/awesome-ai.md 1 comment
- GitHub - zebulon75018/visu-segment-anything: visualisation of the product of segment-anything https://github.com/zebulon75018/visu-segment-anything 1 comment
- GitHub - OpenGVLab/InternChat: InternChat allows you to interact with ChatGPT by clicking, dragging and drawing using a pointing device. https://github.com/OpenGVLab/InternChat 1 comment
- GitHub - roboflow/notebooks: Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM. https://github.com/roboflow/notebooks 1 comment
Linked pages
- Segment Anything | Meta AI https://segment-anything.com/ 157 comments
- Introducing Segment Anything: Working toward the first foundation model for image segmentation https://ai.facebook.com/blog/segment-anything-foundation-model-image-segmentation/ 15 comments
- Segment Anything | Meta AI https://segment-anything.com/demo 9 comments
- Start Locally | PyTorch https://pytorch.org/get-started/locally/ 3 comments