Grounded-Segment-Anything是一个通过结合Grounding DINO和Segment Anything 来创建一个非常有趣的Demo,旨在检测和分割任何带有文本输入的东西! 由于它需要运行在英伟达的GPU上,对于CUDA和PyTorch也有要求。而配置这样的环境,有时候没有那么容易。比如使用坑爹的CUDA Version:12.x。本文旨在基于腾讯云云服务器CVM来构建一套...
grounded_sam_demo.py \ --config GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py \ --grounded_checkpoint groundingdino_swint_ogc.pth \ --sam_checkpoint sam_vit_h_4b8939.pth \ --input_image assets/demo1.jpg \ --output_dir "outputs" \ --box_threshold 0.3 \ --text_threshold...
ArgumentParser("Grounded-Segment-Anything Demo", add_help=True) parser.add_argument("--config", type=str, required=True, help="path to config file") parser.add_argument( "--grounded_checkpoint", type=str, required=True, help="path to checkpoint file" ) parser.add_argument...
代码实现:demo_vlpart_sam. 除了狗头,狗腿,狗爪,狗鼻等,也可以成功分割。 VLPart + SAM的分割结果 3. A ChatBot for Grounded Segment Anything:Objects and Parts 以自然语言的形式与模型交互是近几个月AI带给人们最大的惊喜。抱着学习的心态,Cheems参考Visual ChatGPT搭建一个基于ChatGPT的对话系统,支持用户...
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything - Grounded-Segment-Anything/grounded_sam_demo.py at main · Hivemapper/Grounded-Segment-Anything
我们计划通过结合 GroundingDINO和 Segment Anything 来创建一个非常有趣的演示,旨在通过文本输入检测和分割任何内容! 并且我们会在此基础上不断完善它,创造出更多有趣的demo。 我们非常愿意帮助大家分享和推广基于Segment-Anything的新项目,更多精彩的demo和作品请查看社区:亮点扩展项目。 您可以提交新问题(带有项目标签...
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything - Grounded-Segment-Anything/grounded_sam_osx_demo.py at main · Hivemapper/Grounded-Segment-Anythin
积分:1 shoulder-framework 2025-03-28 12:36:20 积分:1 gbSip 2025-03-28 12:28:08 积分:1 amfpcap 2025-03-28 12:27:35 积分:1 springClouddemo 2025-03-28 12:22:59 积分:1 spring-boot-micro-service 2025-03-28 12:22:25 积分:1...
python grounding_dino_demo.py --config GroundingDINO/groundingdino/config/GroundingDINO_SwinT_OGC.py --grounded_checkpoint groundingdino_swint_ogc.pth --input_image assets/xs_7.jpg --output_dir "outputs" --box_threshold 0.3 --text_threshold 0.25 --text_prompt "tomato" --device "cuda" ...
Image(source='upload', type="pil", value="assets/demo1.jpg", tool="sketch") task_type = gr.Dropdown(["scribble", "automask", "det", "seg", "inpainting", "automatic"], value="automatic", label="task_type") text_prompt = gr.Textbox(label="Text Prompt") inpaint_prompt = ...