Problem 输入图片大小为200×200,依次经过一层卷积(kernel size 5×5,padding 1,stride 2),pooling(kernel size 3×3,padding 0,stride 1),又一层卷积(kernel size 3×3,padding 1,stride 1)之后,输出特征图大小为: 答案:97 analysis 计算尺寸不被整除只在GoogLeNet中遇到过。卷积向下取整,池化向上取整。 (...
4 x=torch.rand(1,1,28,28) #batch, channel, height, width 5 layer=nn.Conv2d(1,3,kernel_size=3,stride=2,padding=1) #in_channel(和上面x中的channel数量一致), out_channel(kernel个数) 6 7 out=layer.forward(x) #或者直接out=layer(x) 8 print(out.shape) #torch.Size([1, 3, 14, ...
卷积函数的参数为Conv2d(in_channels, out_channels, kernel_size, stride, padding, ...),一般关心这5个参数即可 ~ __EOF__
输入图片大小为200×200,依次经过一层卷积(kernel size 5×5,padding 1,stride 2),pooling(kernel size 3×3,padding 0,stride 1),又一层卷积(kernel size 3×3,padding 1,stride 1)之后,输出特征图大小为A.95B.96C.97D.98
输入图片大小为200×200,依次经过一层卷积(kernel size 5×5,padding 1,stride 2),pooling(kernel size 3×3,padding 0,stride 1),又一层卷积(kernel size 3×3,padding 1,stride 1)之后,输出特征图大小为? A. 96 B. $98 C. 95 D. 97
输入图片大小为200×200,依次经过一层卷积(kernelsize5×5,padding1,stride2),pooling(kernelsize3×3,padding0,stride1),又一层卷积(kernelsize3×3,padding1,stride1)之后,输出特征图大小为 A. 95 B. $98 C. 96 D. 97 相关知识点: 试题来源: ...
A.95 B.96 C.97 D.98 查看答案
{ 1, 2, 1}; // access violation with kernel size 5 in l9_ownFilterRowBorderPipeline_32f_C1R_5x5_G9E9cn() std::vector<float> kernel_x = { 1, 2, 3, 2, 1 }; int last_line_offset = w * (h - 1); int size_row = 0; auto sts ...
RuntimeError: Calculated padded input size per channel: (5 x 5). Kernel size: (6 x 6). Kernel size can't be greater than actual input size 127.0.0.1 - - [19/Nov/2023 01:31:30] "GET /video_feed HTTP/1.1" 200 - Environment No response Minimal Reproducible Example No response Addit...
In order to estimate genetic parameters, heterosis and heritability for the kernel size and kernel weight, three bread wheat genotypes 84 CZT 04 (large-kerneled), Panda (medium-kerneled) and Bow S/CrowS (small-kerneled) were reciprocal crossed in six combinations. Means of the six populations...