├── .gitignore ├── 01.利用机器学习进行手写字体识别的过程解析 ├── image │ ├── Screenshot_20180219_171151.png │ ├── Screenshot_20180301_154627.png │ ├── number_minarearect_canvas2.png │ ├── output_12_0.png │ ├── output_26_0.png │ ├── output_31_0.png │ ├── output_44_0.png │ └── output_5_1.png ├── src │ ├── IMG │ │ ├── output_12_0.png │ │ ├── output_26_0.png │ │ ├── output_31_0.png │ │ ├── output_44_0.png │ │ └── output_5_1.png │ ├── digit_clf.bin │ ├── handwriting-svm.ipynb │ ├── image │ │ ├── Screenshot_20180219_171151.png │ │ ├── Screenshot_20180301_154627.png │ │ ├── number_minarearect_canvas2.png │ │ ├── output_12_0.png │ │ ├── output_26_0.png │ │ ├── output_31_0.png │ │ ├── output_44_0.png │ │ └── output_5_1.png │ └── number_bin │ │ ├── 1.png │ │ ├── 2.png │ │ ├── 3.png │ │ ├── 4.png │ │ ├── 5.png │ │ ├── 6.png │ │ └── 7.png └── 利用机器学习进行手写字体识别的过程解析-1Z实验室.md ├── 02.寻找A4纸所在的四边形区域与变形 ├── image │ ├── IMG_20180302_125328.jpg │ ├── Screenshot_20180304_113137.png │ ├── Screenshot_20180304_122312.png │ ├── Screenshot_20180304_122407.png │ ├── Warp_Affine_Tutorial_Theory_0.jpg │ ├── approx.jpg │ ├── countour-approximation-corner-point.png │ ├── number-contours-max.png │ ├── number-edge.png │ ├── numbers_contours_find_lines.png │ ├── numbers_edge_raw.png │ └── perpective-number.png ├── src │ ├── ContourApproximation.py │ ├── Note.md │ ├── canny_edge.py │ ├── countour-approximation-corner-point.png │ ├── filter_contours.py │ ├── find_corners.py │ ├── find_lines.py │ ├── find_segments.py │ ├── number-edge-filter.png │ ├── perspective-transformation.py │ └── raw_numbers_img.jpg └── 寻找A4纸所在的四边形区域与变形-1Z实验室.md ├── 03.A4纸区域的图像二值化与数字提取 ├── A4纸区域的图像二值化与数字提取-1Z实验室.md ├── TODO.md ├── image │ ├── Screenshot_20180304_205905.png │ ├── Screenshot_20180304_210152.png │ ├── number_back_mask_by_hsv_threshold.png │ ├── number_mask_filter_by_median.png │ ├── number_mask_mark_rect.png │ └── numbers_A4.png └── src │ ├── IMG │ └── OLD │ │ ├── Screenshot_20180302_224345.png │ │ ├── Screenshot_20180302_224551.png │ │ ├── Screenshot_20180302_230841.png │ │ ├── Screenshot_20180304_205905.png │ │ ├── Screenshot_20180304_210152.png │ │ ├── number_back_mask_by_hsv_threshold.png │ │ ├── number_mask_filter_by_median.png │ │ ├── number_mask_mark_rect.png │ │ └── numbers_A4.png │ ├── LOG │ ├── invert-color-and-equalize-hist.png │ ├── invert-color.png │ ├── numbers_bin.png │ ├── numbers_bin_gaussian.png │ ├── numbers_bin_gaussian_filter_by_meidan.png │ ├── numbers_edge.png │ ├── numbers_edge_after_opening.png │ └── numbers_gray_dilate.png │ ├── adaptive-threshold.py │ ├── digits_bin │ ├── 1000.png │ ├── 1001.png │ ├── 1002.png │ ├── 1003.png │ ├── 1004.png │ ├── 1005.png │ ├── 1006.png │ ├── 1007.png │ ├── 1008.png │ ├── 1009.png │ ├── 1010.png │ ├── 1011.png │ ├── 1012.png │ ├── 1013.png │ ├── 1014.png │ ├── 1015.png │ ├── 1016.png │ ├── 1017.png │ ├── 1018.png │ ├── 1019.png │ ├── 1020.png │ ├── 1021.png │ ├── 1022.png │ ├── 1023.png │ ├── 1024.png │ ├── 1025.png │ ├── 1026.png │ ├── 1027.png │ ├── 1028.png │ ├── 1029.png │ ├── 1030.png │ ├── 1031.png │ ├── 1032.png │ ├── 1033.png │ ├── 1034.png │ ├── 1035.png │ ├── 1036.png │ ├── 1037.png │ ├── 1038.png │ ├── 1039.png │ ├── 1040.png │ ├── 1041.png │ ├── 1042.png │ ├── 1043.png │ ├── 1044.png │ ├── 1045.png │ ├── 1046.png │ ├── 1047.png │ ├── 1048.png │ ├── 1049.png │ ├── 1050.png │ ├── 1051.png │ ├── 1052.png │ ├── 1053.png │ ├── 1054.png │ ├── 1055.png │ ├── 1056.png │ ├── 1057.png │ ├── 1058.png │ ├── 1059.png │ ├── 1060.png │ ├── 1061.png │ ├── 1062.png │ ├── 1063.png │ ├── 1064.png │ ├── 1065.png │ ├── 1066.png │ ├── 1067.png │ ├── 1068.png │ ├── 1069.png │ ├── 1070.png │ ├── 1071.png │ └── 1072.png │ ├── extract_binary_rect.py │ ├── number_back_mask_by_hsv_threshold.png │ ├── number_edge_bins.py │ ├── number_mask_filter_by_median.png │ └── numbers_A4.png ├── 04.通过柱状统计进行字符分割 ├── image │ ├── hist_seg_result.png │ ├── output_13_0.png │ ├── output_17_0.png │ └── output_4_0.png ├── src │ ├── SegmentationByHist.ipynb │ ├── demo.png │ └── hist_seg_result.png └── 通过柱状统计进行字符分割-1Z实验室.md ├── 05.通过CFS进行字符分割 ├── CFS字符分割-1Z实验室.md ├── image │ ├── cfs_result.png │ ├── output_15_0.png │ └── output_5_0.png └── src │ ├── SegmentationByCFS.ipynb │ ├── cfs_result.png │ └── demo.png ├── 06.通过传统滴水算法进行字符分割 ├── image │ ├── Screenshot_20180316_031919.png │ ├── Screenshot_20180316_040221.png │ ├── Screenshot_20180316_040617.png │ ├── classical-big-fall-truth-table-0328.jpg │ ├── classical-big-fall-truth-table-0355-2.jpg │ ├── output_11_0.png │ ├── output_30_0.png │ ├── output_6_0.png │ ├── output_8_0.png │ └── u=888408617,1697447782&fm=27&gp=0.jpg ├── src │ ├── TraditionalDropFallSegmentation.ipynb │ ├── image │ │ ├── Screenshot_20180316_031919.png │ │ ├── Screenshot_20180316_040221.png │ │ ├── Screenshot_20180316_040617.png │ │ ├── classical-big-fall-truth-table-0328.jpg │ │ ├── classical-big-fall-truth-table-0355-2.jpg │ │ ├── classical-big-fall-truth-table-0410.jpg │ │ ├── output_11_0.png │ │ ├── output_30_0.png │ │ ├── output_6_0.png │ │ ├── output_8_0.png │ │ └── u=888408617,1697447782&fm=27&gp=0.jpg │ └── toucing_digits_database │ │ ├── 2000.png │ │ ├── 2001.png │ │ ├── 2002.png │ │ ├── 2003.png │ │ ├── 2004.png │ │ ├── 2005.png │ │ ├── 2006.png │ │ ├── 2007.png │ │ ├── 2008.png │ │ ├── 2009.png │ │ ├── 2010.png │ │ ├── 2011.png │ │ ├── 2012.png │ │ ├── 2013.png │ │ ├── 2014.png │ │ ├── 2015.png │ │ ├── 2016.png │ │ ├── 2017.png │ │ ├── 2018.png │ │ ├── 2019.png │ │ ├── 2020.png │ │ ├── 2021.png │ │ ├── 2022.png │ │ ├── 2023.png │ │ ├── 2024.png │ │ ├── 2025.png │ │ ├── 2026.png │ │ ├── 2027.png │ │ ├── 2028.png │ │ ├── 2029.png │ │ ├── 2030.png │ │ ├── 2031.png │ │ ├── 2032.png │ │ ├── 2033.png │ │ └── 2034.png └── 传统滴水算法-字符分割-1Z实验室.md ├── 07.KNN最近邻算法 ├── KNN最近邻算法-1Z实验室.md ├── image │ ├── 1353398777_7638.png │ ├── iris_data_table.jpg │ ├── knn_result-20180318.png │ ├── output_10_0.png │ ├── output_13_0.png │ ├── output_28_0.png │ ├── output_32_1.png │ ├── u=2711639257,742490474&fm=27&gp=0.jpg │ ├── 新文档 2018-03-18_3.jpg │ ├── 新文档 2018-03-18_4.jpg │ ├── 新文档 2018-03-18_5.jpg │ ├── 新文档 2018-03-18_6.jpg │ └── 新文档 2018-03-18_7.jpg └── src │ ├── FG_KNN.ipynb │ ├── FG_KNN.py │ └── IMG │ ├── 1353398777_7638.png │ ├── FG_KNN.zip │ ├── FG_KNN │ ├── output_10_0.png │ ├── output_13_0.png │ ├── output_28_0.png │ └── output_32_1.png │ ├── iris_data_table.jpg │ ├── knn_result-20180318.png │ ├── output_10_0.png │ ├── output_13_0.png │ ├── output_28_0.png │ ├── output_32_1.png │ ├── u=2711639257,742490474&fm=27&gp=0.jpg │ ├── 新文档 2018-03-18_3.jpg │ ├── 新文档 2018-03-18_4.jpg │ ├── 新文档 2018-03-18_5.jpg │ ├── 新文档 2018-03-18_6.jpg │ └── 新文档 2018-03-18_7.jpg ├── LICENSE ├── README.md └── image ├── 01number_minarearect_canvas2.png ├── 06滴水算法.png ├── 07knn_result-20180318.png ├── 1Z学院宣传海报.png ├── img-02.png ├── img-03.png ├── img-04.png └── img-05.png /.gitignore: -------------------------------------------------------------------------------- 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