conv_arithmetic图像处理

所属分类:图形图像处理
开发工具:Python
文件大小:3686KB
下载次数:1
上传日期:2020-06-21 00:52:56
上 传 者魏强2310
说明:  conv_arithmetic图像处理,基于python的图像处理
(conv_ Arithmetic image processing, image processing based on Python)

文件列表:
LICENSE (1067, 2019-04-13)
bibliography.bib (6792, 2019-04-13)
bin (0, 2019-04-13)
bin\generate_makefile (5368, 2019-04-13)
bin\produce_figure (11468, 2019-04-13)
conv_arithmetic.tex (59375, 2019-04-13)
gif (0, 2019-04-13)
gif\arbitrary_padding_no_strides.gif (476750, 2019-04-13)
gif\arbitrary_padding_no_strides_transposed.gif (323062, 2019-04-13)
gif\dilation.gif (124951, 2019-04-13)
gif\full_padding_no_strides.gif (435605, 2019-04-13)
gif\full_padding_no_strides_transposed.gif (287001, 2019-04-13)
gif\no_padding_no_strides.gif (37751, 2019-04-13)
gif\no_padding_no_strides_transposed.gif (164355, 2019-04-13)
gif\no_padding_strides.gif (44665, 2019-04-13)
gif\no_padding_strides_transposed.gif (197717, 2019-04-13)
gif\padding_strides.gif (118422, 2019-04-13)
gif\padding_strides_odd.gif (122211, 2019-04-13)
gif\padding_strides_odd_transposed.gif (303965, 2019-04-13)
gif\padding_strides_transposed.gif (272498, 2019-04-13)
gif\same_padding_no_strides.gif (276460, 2019-04-13)
gif\same_padding_no_strides_transposed.gif (213333, 2019-04-13)
natbib (0, 2019-04-13)
natbib\natbib.bst (24935, 2019-04-13)
pdf (0, 2019-04-13)
pdf\arbitrary_padding_no_strides_00.pdf (2828, 2019-04-13)
pdf\arbitrary_padding_no_strides_01.pdf (2866, 2019-04-13)
pdf\arbitrary_padding_no_strides_02.pdf (2838, 2019-04-13)
pdf\arbitrary_padding_no_strides_03.pdf (2836, 2019-04-13)
pdf\arbitrary_padding_no_strides_transposed_00.pdf (3174, 2019-04-13)
pdf\arbitrary_padding_no_strides_transposed_01.pdf (3160, 2019-04-13)
pdf\arbitrary_padding_no_strides_transposed_02.pdf (3151, 2019-04-13)
pdf\arbitrary_padding_no_strides_transposed_03.pdf (3145, 2019-04-13)
pdf\dilation_00.pdf (3006, 2019-04-13)
pdf\dilation_01.pdf (3016, 2019-04-13)
... ...

# Convolution arithmetic A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution: * \[1\] Vincent Dumoulin, Francesco Visin - [A guide to convolution arithmetic for deep learning](https://arxiv.org/abs/1603.07285) ([BibTeX](https://gist.github.com/fvisin/165ca9935392fa9600a6c946***a01214)) ## Convolution animations _N.B.: Blue maps are inputs, and cyan maps are outputs._
No padding, no strides Arbitrary padding, no strides Half padding, no strides Full padding, no strides
No padding, strides Padding, strides Padding, strides (odd)
## Transposed convolution animations _N.B.: Blue maps are inputs, and cyan maps are outputs._
No padding, no strides, transposed Arbitrary padding, no strides, transposed Half padding, no strides, transposed Full padding, no strides, transposed
No padding, strides, transposed Padding, strides, transposed Padding, strides, transposed (odd)
## Dilated convolution animations _N.B.: Blue maps are inputs, and cyan maps are outputs._
No padding, no stride, dilation
## Generating the Makefile From the repository's root directory: ``` bash $ ./bin/generate_makefile ``` ## Generating the animations From the repository's root directory: ``` bash $ make all_animations ``` The animations will be output to the `gif` directory. Individual animation steps will be output in PDF format to the `pdf` directory and in PNG format to the `png` directory. ## Compiling the document From the repository's root directory: ``` bash $ make ```

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