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、文章来源:https://www.toymoban.com/news/detail-520192.html
NameError: name 'F' is not defined
解决:在common里面文章来源地址https://www.toymoban.com/news/detail-520192.html
import torch.nn.functional as F
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