CodeFormer的facelib预训练权重文件，下载存放路径：weights/facelib
weights
├── facelib
│ ├── detection_mobilenet0.25_Final.pth
│ ├── detection_Resnet50_Final.pth
│ ├── parsing_parsenet.pth
│ ├── yolov5l-face.pth
│ └── yolov5n-face.pth
2024-06-29 01:43:40
282.35MB
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yolov10的预训练权重，以及yolov10的训练测试程序 。包含yolov10的训练和测试代码和yolov10的官方预训练权重，权重包含yolov10所有预训练权重，文件包含yolov10b.pt、yolov10l.pt、yolov10m.pt、yolov10n.pt、yolov10s.pt、yolov10x.pt、yolov10-main.zip。
2024-06-27 17:26:18
243.11MB
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yolov8n-seg.pt，yolov8s-seg.pt，yolov8m-seg.pt，yolov8l-seg.pt，yolov8x-seg.pt分割预训练权重文件
2024-02-17 19:52:20
284.3MB
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包括yolov5l.pt,yolov5m.pt,yolov5s.pt,yolov5x.pt预训练权重文件
2023-12-29 16:28:20
294.34MB
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YOLOv8预训练权重文件集合(YOLOv8n,YOLOv8s,YOLOv8m,YOLOv8l,YOLOv8x)
YOLOv8 pretrained Detect models are shown here. Detect, Segment and Pose models are pretrained on the COCO dataset, while Classify models are pretrained on the ImageNet dataset.
Model size
(pixels) mAPval
50-95 Speed
CPU ONNX
(ms) Speed
A100 TensorRT
(ms) params
(M) FLOPs
(B)
YOLOv8n 640 37.3 80.4 0.99 3.2 8.7
YOLOv8s 640 44.9 128.4 1.20 11.2 28.6
YOLOv8m 640 50.2 234.7 1.83 25.9 78.9
YOLOv8l 640 52.9 375.2 2.39 43.7 165.2
YOLOv8x 640 53
2023-10-09 15:30:13
269.36MB
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该资源包含：yolov8n.pt，yolov8s.pt，yolov8m.pt，yolov8l.pt，yolov8x.pt目标检测预训练权重文件
2023-08-09 10:50:39
269.83MB
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资源包括：yolov8n-pose.pt，yolov8s-pose.pt，yolov8m-pose.pt，yolov8l-pose.pt，yolov8x-pose.pt，yolov8x-pose-p6.pt姿态检测预训练权重文件
2023-07-10 17:55:16
451.14MB
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yolov8的预训练权重，适用于在官网上下载yolov8权重较慢的情况，包含n, m ,s 三个量级的权重。
为了帮助各位小伙伴，希望能对各位小伙伴们起到一些帮助，后面如果小伙伴们需要什么资源，可以私信我
2023-05-15 17:18:19
71.41MB
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卷积神经网络 Python tensorflow keras CNN VGG16 imagenet 预训练权重 人脸识别分类 训练集测试集评估准确率 maxpolling dropout jupyter notebook numpy pandas 数据分析 数据挖掘 深度学习 机器学习 人工智能
2023-04-11 20:51:39
47.9MB
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