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artistic-style-transfer-master

于 2021-01-12 发布 文件大小:11180KB
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代码说明：

  在linux系统中通过卷积神经网络实现图像风格迁移(Image style migration through convolution neural network in linux)

文件列表：

artistic-style-transfer-master, 0 , 2017-12-07
artistic-style-transfer-master\.gitignore, 47 , 2017-12-07
artistic-style-transfer-master\README.md, 3097 , 2017-12-07
artistic-style-transfer-master\notebooks, 0 , 2017-12-07
artistic-style-transfer-master\notebooks\1_Linear_Image_Classifier.ipynb, 22999 , 2017-12-07
artistic-style-transfer-master\notebooks\2_Neural_Network-based_Image_Classifier-1.ipynb, 16734 , 2017-12-07
artistic-style-transfer-master\notebooks\3_Neural_Network-based_Image_Classifier-2.ipynb, 18173 , 2017-12-07
artistic-style-transfer-master\notebooks\4_Convolutional_Neural_Network-based_Image_Classifier.ipynb, 27414 , 2017-12-07
artistic-style-transfer-master\notebooks\5_VGG_Net_16_the_easy_way.ipynb, 173871 , 2017-12-07
artistic-style-transfer-master\notebooks\6_Artistic_style_transfer_with_a_repurposed_VGG_Net_16.ipynb, 1969843 , 2017-12-07
artistic-style-transfer-master\notebooks\images, 0 , 2017-12-07
artistic-style-transfer-master\notebooks\images\content-feature.png, 1433327 , 2017-12-07
artistic-style-transfer-master\notebooks\images\elephant.jpg, 215334 , 2017-12-07
artistic-style-transfer-master\notebooks\images\example.gif, 2648758 , 2017-12-07
artistic-style-transfer-master\notebooks\images\hugo.jpg, 81046 , 2017-12-07
artistic-style-transfer-master\notebooks\images\imagenet-sample.jpg, 307793 , 2017-12-07
artistic-style-transfer-master\notebooks\images\linear.png, 56916 , 2017-12-07
artistic-style-transfer-master\notebooks\images\mnist-sample.png, 48233 , 2017-12-07
artistic-style-transfer-master\notebooks\images\neural-network-1-hidden.png, 135388 , 2017-12-07
artistic-style-transfer-master\notebooks\images\neural-network-2-hidden.png, 158718 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles, 0 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\block.jpg, 98262 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\forest.jpg, 295902 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\gothic.jpg, 1001267 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\marilyn.jpg, 197282 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\picasso.jpg, 460890 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\scream.jpg, 369997 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\starry_night.jpg, 573253 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\van_gough.jpg, 323611 , 2017-12-07
artistic-style-transfer-master\notebooks\images\styles\wave.jpg, 1338124 , 2017-12-07
artistic-style-transfer-master\notebooks\images\vgg-architecture.png, 193488 , 2017-12-07
artistic-style-transfer-master\requirements.txt, 1225 , 2017-12-07

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    说明：  实现了图像处理中常用的对比度计算公式，和一个图像变换的画布扩大，只需要稍微修改即可用。(Image processing to achieve a common formula for calculating the contrast ratio, and an image transformation of the canvas to expand, require only a slight modification can be used.)
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    自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度(The particle swarm optimization algorithm written by ourselves is designed to calculate the value of a function as a test, and good precision is achieved.)
    2018-09-05 23:02:58下载
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  • VCPP
    凑算式 看这个算式： ☆☆☆ + ☆☆☆ = ☆☆☆ 如果每个五角星代表 1 ~ 9 的不同的数字。 这个算式有多少种可能的正确填写方法？ (Minato formula Look at this formula: ☆☆☆+ ☆☆☆ = ☆☆☆ If each five-pointed star represents a different number 1 to 9. This formula has a number of possible methods correctly filled?)
    2015-09-19 11:38:26下载
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    图像重定向源代码，本文提出一种网格变形框架，允许显著特征进行均匀缩放，从而保证图像内容的完整性，将变形分布到不重要的区域。(The source code of optimal scale stretching image redirection is presented, and an effective image redirection algorithm is proposed to better guarantee the integrity of the image.)
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