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git clone --recursive https://github.com/AILab-CVC/YOLO-World.git Install pip install torch wheel -q pip install -e. 2. Preparing Data We provide the details about the pre-training data indocs/data. Training & Evaluation We adopt the defaulttrainingorevaluationscripts ofmmyolo. We provide...
python tools/reparameterize_yoloworld.py \ --model path/to/checkpoint \ --out-dir path/to/save/re-parameterized/ \ --text-embed path/to/text/embeddings \ --conv-neck 3. Prepare the model config Please see the sample config:finetune_coco/yolo_world_v2_s_rep_vlpan_bn_2e-4_80e_8gpus...
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...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
git clone https://github.com/AXERA-TECH/ONNX-YOLO-World-Open-Vocabulary-Object-Detection.git 图片检测模型 部署模型 适合用于 AXera NPU 工具链Pulsar2模型转换的 ONNX 模型 下载yolov8s-worldv2.pt 使用yoloworld/ModelExporter_ax.py更新yoloworld/ModelExporter.py ...
执行python deploy/export_onnx.py ./configs/pretrain/yolo_world_v2_l_vlpan_bn_2e-3_100e_4x8gpus_obj365v1_goldg_train_lvis_minival.py ./weights/yolo_world_v2_l_obj365v1_goldg_cc3mlite_pretrain-ca93cd1f.pth --custom-text data/texts/lvis_v1_c...
1.环境安装除了Ultralytics8.2.2,还需要安装clip pip install --no-cache "git+https://github.com/openai/CLIP.git"下载yolo-worldv2权重 https://github.com/ultralytics/assets/releases/download/v8.…
YOLO-World 目前正在积极开发中📃,如果你有建议或者想法💡,我们非常希望您在 Roadmap 中提出来 ️! FAQ (Frequently Asked Questions) We have set up an FAQ about YOLO-World in the discussion on GitHub. We hope everyone can raise issues or solutions during use here, and we also hope that...
论文代码:github.com/AILab-CVC/YO 在线体验:huggingface.co/spaces/s 亮点解读:开放词汇对象检测(支持任意英文文本,检测出目标框) 一句话速读:YOLO-World通过引入RepVL-PAN和区域-文本对比损失,实现了高效的零样本开放词汇对象检测,并在LVIS数据集上达到了35.4 AP和52.0 FPS的性能。 图1. 速度与精度曲线。我们在...