Ultralytics YOLOv8.1.0 Python-3.11.5 torch-2.1.1+cpu CPU (Intel Core(TM) i7-6800K 3.40GHz) PyTorch: starting from 'yolov8x-oiv7.pt' with input shape (1, 3, 640, 640) BCHW and output shape(s) (1, 605, 8400) (131.5 MB) ONNX: starting export with onnx 1.15.0 opset 17....
yolov8_x_100e_oiv7.yml dataset/OpenImagesV7 label_list.txt 23 changes: 23 additions & 0 deletions 23 configs/datasets/openimagesv7_detection.yml Original file line numberDiff line numberDiff line change @@ -0,0 +1,23 @@ metric: COCO num_classes: 601 # Due to the large dataset,...
("", "-cls", "-seg", "-pose", "-obb", "-oiv7")] + [f"yolov5{k}{resolution}u.pt" for k in "nsmlx" for resolution in ("", "6")] + [f"yolov3{k}u.pt" for k in ("", "-spp", "-tiny")] + [f"yolov8{k}-world.pt" for k in "smlx"] + [f"yolov8{k}...
- ✨✨✨ Support [YOLOv8-World](https://docs.ultralytics.com/models/yolo-world), [YOLOv8-oiv7](https://docs.ultralytics.com/models/yolov8), [YOLOv10](https://github.com/THU-MIG/yolov10) model. - 🤗 Release the latest version [2.3.6](https://github.com/CVHub520/X-Any...
YOLOv5 🚀 v5.0-267-g6a3ee7c torch 1.9.0+cu102 CUDA:0 (Tesla P100-PCIE-16GB, 16280.875MB) Fusing layers... /usr/local/lib/python3.7/dist-packages/torch/nn/functional.py:718: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Pl...
{"on_fit_epoch_end": on_fit_epoch_end,# 在每个 epoch 结束时调用 on_fit_epoch_end 回调函数}iftune# 如果 tune 不为 None,表示 Ray Tune 已经成功导入else{}# 如果 tune 为 None,回调函数为空字典) .\yolov8\ultralytics\utils\callbacks\tensorboard.py ...
main runs Dockerfile LICENSE README.md build.sh coco-labels.txt export.py labels-oiv7-aggregated.txt labels-oiv7.txt output.jpg rocm_python rocm_yolo_utils.py wolf.jpg yolo5.py yolo8.py Breadcrumbs amd_igpu_yolo_v8 / Latest commit ...
| [YOLOv8m](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8m-oiv7.pt) | 640 | 33.6 | 408.5 | 2.26 | 26.2 | 80.6 | | [YOLOv8l](https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8l-oiv7.pt) | 640 | 34.9 | 596.9 | 2.43 | 44.1 |...
While yolov8x-oiv7 is heavier it can still achieve 15-30fps. Here you can see model performing on a test set video and a new video from a new camera: yolov8-model-test.mp4 yolov8-model-infererenceT.mp4 The above is using YOLOv8 tracking: yolo track model=/path/to/yolov8x-oiv7...
added labels for the oiv7 dataset, also aggregated labels Feb 6, 2024 output.jpg updated paint style Jan 24, 2024 rocm_python map miopen cache from local system to preserve kernel optimization pa… Jan 24, 2024 rocm_yolo_utils.py