YOLOv5+Swin Transformer

您所在的位置：网站首页 › c3如何升c2 › YOLOv5+Swin Transformer

YOLOv5+Swin Transformer

2023-09-23 13:01| 来源: 网络整理| 查看: 265

参考：(7条消息) 改进YOLOv5系列：3.YOLOv5结合Swin Transformer结构，ICCV 2021最佳论文使用 Shifted Windows 的分层视觉转换器_芒果汁没有芒果的博客-CSDN博客

本科生工科生cv改代码

本来做的7，但是7报错一直解决不了，我就试试5

1、先是第一个报错

TypeError: __init__() missing 1 required positional argument: 'c2'

解决：在yolo.py里

if m in { Conv, GhostConv, Bottleneck, GhostBottleneck, SPP, SPPF, DWConv, MixConv2d, Focus, CrossConv, BottleneckCSP, C3, C3TR, C3SPP, C3Ghost, nn.ConvTranspose2d, DWConvTranspose2d, C3x, C3STR}: # add a C3STR at the end of the sentence(aran) c1, c2 = ch[f], args[0] if c2 != no: # if not output c2 = make_divisible(c2 * gw, 8) # change 8 to 9 args = [c1, c2, *args[1:]] if m in {BottleneckCSP, C3, C3TR, C3Ghost, C3x, C3STR}:# add a C3STR at the end of the sentence(aran) args.insert(2, n) # number of repeats

2、

File "/root/yolov5_master/models/common.py", line 1315, in __init__ super().__init__(c1, c2, c2, n, shortcut, g, e) TypeError: __init__() takes from 3 to 7 positional arguments but 8 were given

解决：common里删掉一个c2

class C3STR(C3): # C3 module with SwinTransformerBlock() def __init__(self, c1, c2, n=1, shortcut=True, g=1, e=0.5): super().__init__(c1, c2, n, shortcut, g, e) # a c2 was deleted by aran c_ = int(c2 * e) num_heads = c_ // 32 self.m = SwinTransformerBlock(c_, c_, num_heads, n)

3、

NameError: name 'window_partition' is not defined

解决：应该加上window_partition 和 window_reverse, 加在common，具体位置是在芒果哥加在common的代码前面

def window_partition(x, window_size): B, H, W, C = x.shape x = x.view(B, H // window_size, window_size, W // window_size, window_size, C) windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size, window_size, C) return windows def window_reverse(windows, window_size, H, W): B = int(windows.shape[0] / (H * W / window_size / window_size)) x = windows.view(B, H // window_size, W // window_size, window_size, window_size, -1) x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1) return x

4、

NameError: name 'F' is not defined

解决：在common里面

import torch.nn.functional as F

【本文地址】

YOLOv5+Swin Transformer

YOLOv5+Swin Transformer

今日新闻

推荐新闻