然后,我安装并测试了Grounded SAM 2【https://github.com/IDEA-Research/Grounded-SAM-2】,这是一个基于Meta流行的Segment Anything Model 2(SAM 2)【https://ai.meta.com/sam2/】的更复杂和更大的VLM。与YOLO-World不同,在YOLO-World中你指定类别名称,而在Grounded SAM 2中你可以用更复杂的文本进行提示。...
sam2_image_model = build_sam2(model_cfg, sam2_checkpoint) image_predictor = SAM2ImagePredictor(sam2_image_model) # init grounding dino model from huggingface model_id = "IDEA-Research/grounding-dino-tiny" device = "cuda" if torch.cuda.is_available() else "cpu" processor = Auto...
SAM2更新了SAM2.1的checkpoint,我们也是第一时间适配上了SAM2.1的checkpoint,在long video的tracking上应该会有更稳定的效果 SAM2支持了Box Prompt,所以可以直接根据Grounding的Box Prompt结果出Mask即可,不需要再通过SAM2的Mask或者是基于Mask的Point Sample作为Prompt Introduction Meta推出的Segment Anything Model 2 (SAM...
Hi, When I ran the code python grounded_sam2_local_demo.py the result was good with a prompt text="car. road." But, when I have modified the code to read images from a video file and keep looping import cv2 import torch import numpy as n...
SAM2_README.md backend.Dockerfile docker-compose.yaml grounded_sam2_dinox_demo.py grounded_sam2_florence2_autolabel_pipeline.py grounded_sam2_florence2_image_demo.py grounded_sam2_gd1.5_demo.py grounded_sam2_hf_model_demo.py grounded_sam2_local_demo.py grounded_sam2_tracking_demo.py groun...
【Grounded SAM 2:结合Grounding DINO和SAM 2的多任务视觉模型,用于图像和视频的开放世界目标检测与跟踪,简化代码实现,增强用户便利性】'Grounded SAM 2: Ground and Track Anything with Grounding DINO and SAM 2' GitHub: github.com/IDEA-Research/Grounded-SAM-2 #图像分割# #视频跟踪# #开放世界模型# ...
In this guide, we are going to walk through how to label computer vision data using Grounded SAM 2, a combination of SAM 2 and Florence-2. This model uses the Autodistill framework, which lets you use large, foundation models to auto-label data for use in training smaller, fine-tuned ...
grounded_sam2_tracking_demo.py6.95 KB 一键复制编辑原始数据按行查看历史 rentainhe提交于5个月前.refine config path and ckpt path importos importcv2 importtorch importnumpyasnp importsupervisionassv fromPILimportImage fromsam2.build_samimportbuild_sam2_video_predictor,build_sam2 ...
2. 摘要 我们介绍了Grounded SAM,它使用Grounding DINO作为开集目标检测器来与分割模型(SAM)相结合。这种集成能够基于任意文本输入检测和分割任何区域,并为连接各种视觉模型打开了一扇门。利用通用Grounded SAM流水线可以实现多种视觉任务。例如,仅基于输入图像的自动注释管道可以通过合并诸如BLIP和Recognize everything之类的...
1.GPU环境 如果要为 Grounded-SAM 构建本地 GPU 环境,则应按如下方式手动设置环境变量: export AM_I_DOCKER=False export BUILD_WITH_CUDA=True export CUDA_HOME=/path/to/cuda-11.3/ 这一步很关键,决定了项目是否能在GPU上运行。当然,如果不设置GPU,也是可以在CPU上运行的,这就视个人情况。 2.安装Grounded...