在这个基准测试中,Grounding DINO表现良好。仅使用O365和GoldG进行预训练的Grounding-DINO-T在少量样本和全样本设置上都优于DINO。 令人印象深刻的是,使用Swin-T骨干网络的Grounding DINO在全样本设置上优于使用Swin-L骨干网络的DINO。在零样本设置上,Grounding DINO的性能优于GLIP,并且与GLIPv2相当,后者采用了如遮...
description="This Space combines [GroundingDINO](https://huggingface.co/IDEA-Research/grounding-dino-base), a bleeding-edge zero-shot object detection model with [SAM](https://huggingface.co/facebook/sam-vit-base), the state-of-the-art mask generation model. SAM normally doesn't accept text ...
More specifically, this model was trained with Swin-Tiny backbone that was trained using a supervised manner on NVIDIA proprietary data called NVImageNetv2, which allows commercial usage. In addition, BERT-Base was used as the starting weight for text tower. Finally, Grounding DINO was trained ...
Grounding DINO 1.5 Edge achieves remarkable performance and also surpasses all other state-of-the-art algorithms (OmDet-Turbo-T 30.3 AP, YOLO-Worldv2-L 32.9 AP, YOLO-Worldv2-M 30.0 AP, YOLO-Worldv2-S 22.7 AP). Grounding DINO 1.5 Pro and Grounding DINO 1.5 Edge Grounding DINO 1.5 Pro ...
To generate an optimized TensorRT engine, a Grounding DINO .onnx file, which is first generated using tao model grounding_dino export, is taken as an input to tao deploy grounding_dino gen_trt_engine. For more information about training a Grounding DINO model, refer to the Grounding DINO ...
Dreambooth手动安装方法python.exe -m pip install --upgrade pippython.exe -m pip install -r D:\AI\sd-webui-aki-v4\extensions\sd_dreambooth_extension\requirements.txt建议下载这个py310直接替换py310.7z链接:https://pan.quark, 视频播放量 7283、弹幕量 6、点赞数
Sample Command for a Grounding DINO Model To generate an .onnx file for Grounding DINO, refer to the Grounding DINO documentation. Copy Copied! trtexec --onnx=/path/to/model.onnx \ --minShapes=inputs:1x3x544x960,input_ids:1x256,attention_mask:1x256,position_ids:1x256,token_type_ids...
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We plan to create a very interesting demo by combining Grounding DINO and Segment Anything which aims to detect and segment anything with text inputs! And we will continue to improve it and create more interesting demos based on this foundation. And we have already released an overall technical...
We plan to create a very interesting demo by combining Grounding DINO and Segment Anything which aims to detect and segment anything with text inputs! And we will continue to improve it and create more interesting demos based on this foundation. And we have already released an overall technical...