[人工智能]yolov5报错解决合集

报错1：Can't get attribute 'SPPF' on <module 'models.common' from 'D:\\Pycharm\\Code\\yolov5-5.0\\models\\common.py'>

解决方法：在models/common.py下加入如下代码：

class SPPF(nn.Module):
    # Spatial Pyramid Pooling - Fast (SPPF) layer for YOLOv5 by Glenn Jocher
    def __init__(self, c1, c2, k=5):  # equivalent to SPP(k=(5, 9, 13))
        super().__init__()
        c_ = c1 // 2  # hidden channels
        self.cv1 = Conv(c1, c_, 1, 1)
        self.cv2 = Conv(c_ * 4, c2, 1, 1)
        self.m = nn.MaxPool2d(kernel_size=k, stride=1, padding=k // 2)

    def forward(self, x):
        x = self.cv1(x)
        with warnings.catch_warnings():
            warnings.simplefilter('ignore')  # suppress torch 1.9.0 max_pool2d() warning
            y1 = self.m(x)
            y2 = self.m(y1)
            return self.cv2(torch.cat([x, y1, y2, self.m(y2)], 1))

并且在开头引用：

import warnings

报错2：RuntimeError: Given groups=1, weight of size 【512, 1024, 1, 1】, expected input【1, 512, 8, 8】 to have 1024 channels, but got 512 channels instead

解决方法：修改cfg参数如下：

parser.add_argument('--cfg', type=str, default='models/yolov5s.yaml', help='model.yaml path')