https://zh-v2.d2l.ai/chapter_computer-vision/neural-style.html
上个图,对比原图看一下效果
原图(600x333):
处理后(450x300):
请问您是怎么保存的output的图片?是使用d2l.plt.savefig吗?,能否分享下您的jupyter
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def compute_loss(X, contents_Y_hat, styles_Y_hat, contents_Y, styles_Y_gram):
# 分别计算内容损失、风格损失和全变分损失
contents_l = [content_loss(Y_hat, Y) * content_weight for Y_hat, Y in zip(
contents_Y_hat, contents_Y)]
styles_l = [style_loss(Y_hat, Y) * style_weight for Y_hat, Y in zip(
styles_Y_hat, styles_Y_gram)]
tv_l = tv_loss(X) * tv_weight
# 对所有损失求和
l = sum(10 * styles_l + contents_l + [tv_l])
return contents_l, styles_l, tv_l, l
请问这里 l = sum(10 * styles_l + contents_l + [tv_l])
为什么要乘10, 将style_weight*10 可以吗
have the same question