"weights/groundingdino_swint_ogc.pth") #要预测的图片路径 IMAGE_PATH = "1.jpeg" #要预测的类别提示,可以输入多个类中间用英文句号隔开 TEXT_PROMPT = "chair . person . cell . flower" BOX_TRESHOLD = 0.35 TEXT_TRES
To run this demo and start your experimentation with the model, we have created and added a Jupyter notebook with this article so that you can test it. First, we will clone the repository: !git clone https://github.com/IDEA-Research/Grounding-DINO-1.5-API.git Copy Next, we will insta...
dino_threshold)result_labels=[]forpredindino_output:boxes=pred["boxes"].cpu()scores=pred["scores"].cpu()labels=pred["labels"]box=[torch.round(pred["boxes"][0],decimals=2),torch.round(pred["boxes"][1],decimals=2),torch.round(pred["boxes"][2],decimals=2),torch.round(pred["boxes...
分割任何内容以获得稳定的扩散 WebUI。通过单击或文本提示自动生成图像的高质量分割/遮罩。旨在将WebUI和ControlNet与Segment Anything和GroundingDINO连接起来,以增强稳定扩散/ ControlNet修复(单个图像和批处理),增强ControlNet语义分割,自动化图像垫并创建LoRA / Ly
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grounded_sam_whisper_demo.py grounded_sam_whisper_inpainting_demo.py grounding_dino_demo.py predict.py requirements.txt Repository files navigation README License Grounded-Segment-Anything We plan to create a very interesting demo by combining Grounding DINO and Segment Anything which aims to ...
demo create_coco_dataset.py export_openvino.py gradio_app.py image_editing_with_groundingdino_gligen.ipynb image_editing_with_groundingdino_stablediffusion.ipynb inference_on_a_image.py ov_inference_on_a_image.py test_ap_on_coco.py groundingdino .gitignore LICENSE README.md requirements.txt set...
例如，一些最新的多模态大模型如LLaVA-NeXT、GroundingDINO等，已经能够在零样本或少量样本的情况下，对...
GroundingDINO是一种多模态的目标检测模型。本例程对GroundingDINO官方开源仓库的模型和算法进行移植,使之能在SOPHON BM1684X上进行推理测试,移植过程中针对TPU的推理上对源代码进行了优化和提速。 2. 特性 支持BM1684X(x86 PCIe、SoC) 支持FP16模型编译和推理 支持基于PIL的Python推理 支持单batch模型推理 支持图片测...
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything - Grounded-Segment-Anything/grounding_dino_demo.py at main · Hivemapper/Grounded-Segment-Anything