YOLO-World 引入了 "先提示后检测 "的策略，利用离线词汇进一步提高效率。这种方法可以使用预先计算的自定义提示，包括标题或类别，并将其编码和存储为离线词汇嵌入，从而简化检测过程。EfficientSAM EfficientSAM模型的核心思想是利用掩码机制，通过对图像中的某些区域进行掩码，使得模型在训练过程中更加关注未被掩码的部分。
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一直卡在这个节点:Yoloworld_ModelLoader_Zho,不报错,也没法取消进程,只能关掉comfyui重启。Activity aqidesign commented on May 19, 2024 aqidesign on May 19, 2024 Author acesiare commented on May 20, 2024 acesiare on May 20, 2024 是模型文件失效了, 重新下载模型放到 /private/tmp/cache 里边对应...
I then manually deleted the above installation and installed again via manager this time. I don't notice any error (such as the above mentioned incompatible protobuf error), but the exception thrown by "Convert mask to image" node persists and the detection of yolo-world still doesn't happen...
Unofficial implementation of YOLO-World + EfficientSAM for ComfyUI - V2.0 新增蒙版分离+提取功能 · ZHO-ZHO-ZHO/ComfyUI-YoloWorld-EfficientSAM@c4ce624
ComfyUI YoloWorld-EfficientSAM Unofficial implementation of YOLO-World + EfficientSAM & YOLO-World for ComfyUI 项目介绍 | Info 对YOLO-World + EfficientSAM的非官方实现 利用全新的 YOLO-World 与EfficientSAM 实现高效的对象检测 + 分割 版本:V2.0 新增蒙版分离 + 提取功能,支持选择指定蒙版单独输出,同...
YOLO_WORLD_EfficientSAM.py YOLO_WORLD_SEGS.py __init__.py requirements.txt Breadcrumbs ComfyUI-YoloWorld-EfficientSAM / requirements.txt Latest commit ZHO-ZHO-ZHO V1.0 a42a59f· Feb 20, 2024 HistoryHistory File metadata and controls Code Blame 1 lines (1 loc) · 34 Bytes Raw inference...
你可以尝试卸载之后重新安装,我是这样解决的。 步骤: cd ComfyUI-YoloWorld-EfficientSAM pip uninstall inference-gpu pip install -r requirements.txt zhangbo123654 quanzaiyucommentedApr 21, 2024 我也需要手动安装,自动安装会报网络错误。自己已经下载了三个模型,不知道丢哪。
EfficientYOLOWorld is a combination of two models: YOLO-World, a zero-shot object detection model, and; EfficientSAM, an image segmentation model. This model runs EfficientSAM on each bounding box region generated by YOLO-World. This allows you to retrieve both the bounding box and the segment...
Error occurred when executing Yoloworld_ESAM_Zho: 'WorldModel' object has no attribute 'clip_model' File "C:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, ...