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使用onnxruntime部署GroundingDINO开放世界目标检测,包含C++和Python两个版本的程序
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API ?
Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.
?? + ? + ? = ? Curated list of top foundation and multimodal models! [Paper + Code + Examples + Tutorials]
This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
[ECCV'22] Official repository of paper titled "Class-agnostic Object Detection with Multi-modal Transformer".
Official implementation of OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer
[CVPR2024] Generative Region-Language Pretraining for Open-Ended Object Detection
? [AAAI'25] Official Code for “Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community"