From e537e6cc7814e2b4ff4f6b57ff01df0ceb6d1709 Mon Sep 17 00:00:00 2001 From: SWHL Date: Sat, 3 Aug 2024 14:20:09 +0800 Subject: [PATCH 1/4] docs: Shorten the image path --- ...7346266396462363834.png => 68747470733.png} | Bin ...86-0348339.png => 68747470733a2f2f6169.png} | Bin ...ff5a7b-20240708094343198.png => 7a8865.png} | Bin ...edc4d307d797fa2bcd0466e9f8b7705efff5a7b.png | Bin 340736 -> 0 bytes ...046444db69fa3ca20ac0986.png => 7d5774a.png} | Bin ...4be883f15079b7ebab9a-20240707183252997.jpeg | Bin 2381 -> 0 bytes docs/applications/images/color_image.jpg | Bin 0 -> 6211 bytes docs/applications/overview.md | 6 +++--- ...227\347\254\246\350\257\206\345\210\253.md" | 6 +++--- 9 files changed, 6 insertions(+), 6 deletions(-) rename docs/applications/images/{68747470733a2f2f61692d73747564696f2d7374617469632d6f6e6c696e652e63646e2e626365626f732e636f6d2f64396530353333636331646634376666613362626539396465396534323633396133656266613562636538333462616662316361343537346266396462363834.png => 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------------------------------------------------------------ | | 高精度中文识别模型SVTR | 比PP-OCRv3识别模型精度高3%,
可用于数据挖掘或对预测效率要求不高的场景。 | [模型下载](#2) | [中文](./高精度中文识别模型.md)/English | img | -| 手写体识别 | 新增字形支持 | [模型下载](#2) | [中文](./手写文字识别.md)/English | | +| 手写体识别 | 新增字形支持 | [模型下载](#2) | [中文](./手写文字识别.md)/English | | ### 制造 | 类别 | 亮点 | 模型下载 | 教程 | 示例图 | | -------------- | ------------------------------ | -------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | -| 数码管识别 | 数码管数据合成、漏识别调优 | [模型下载](#2) | [中文](./光功率计数码管字符识别/光功率计数码管字符识别.md)/English | | +| 数码管识别 | 数码管数据合成、漏识别调优 | [模型下载](#2) | [中文](./光功率计数码管字符识别/光功率计数码管字符识别.md)/English | | | 液晶屏读数识别 | 检测模型蒸馏、Serving部署 | [模型下载](#2) | [中文](./液晶屏读数识别.md)/English | | -| 包装生产日期 | 点阵字符合成、过曝过暗文字识别 | [模型下载](#2) | [中文](./包装生产日期识别.md)/English | | +| 包装生产日期 | 点阵字符合成、过曝过暗文字识别 | [模型下载](#2) | [中文](./包装生产日期识别.md)/English | | | PCB文字识别 | 小尺寸文本检测与识别 | [模型下载](#2) | [中文](./PCB字符识别/PCB字符识别.md)/English | | | 电表识别 | 大分辨率图像检测调优 | [模型下载](#2) | | | | 液晶屏缺陷检测 | 非文字字符识别 | | | | diff --git "a/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" "b/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" index 47c13f6463..94ba70ef1a 100644 --- "a/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" +++ "b/docs/applications/\345\205\211\345\212\237\347\216\207\350\256\241\346\225\260\347\240\201\347\256\241\345\255\227\347\254\246\350\257\206\345\210\253.md" @@ -80,7 +80,7 @@ paddleocr --lang=ch --det=Fase --image_dir=data ![](./images/char_spacing_compact.jpg) -![](https://github.com/oh-my-ocr/text_renderer/raw/master/example_data/effect_layout_image/color_image.jpg) +![](./images/color_image.jpg) ```bash linenums="1" export https_proxy=http://172.19.57.45:3128 @@ -120,7 +120,7 @@ python3 main.py \ 查看合成的数据样例: -![](./images/7d5774a273f84efba5b9ce7fd3f86e9ef24b6473e046444db69fa3ca20ac0986-0348339.png) +![img](./images/68747470733a2f2f6169.png) #### 真实数据挖掘 @@ -442,7 +442,7 @@ python3 tools/infer_rec.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation. 预测图片: -![](./images/8dca91f016884e16ad9216d416da72ea08190f97d87b4be883f15079b7ebab9a-20240707183252997.jpeg) +![](./images/8dca91f016884e16ad9216d416da72ea08190f97d87b4be883f15079b7ebab9a.jpeg) 得到输入图像的预测结果: From 1ddeb7a151b1fe5ce5a42da9198be7ae7caee51e Mon Sep 17 00:00:00 2001 From: SWHL Date: Sat, 3 Aug 2024 23:28:23 +0800 Subject: [PATCH 2/4] docs: Remove duplicate images --- docs/algorithm/kie/images/zh_val_0_ser.jpg | Bin 1252522 -> 0 bytes docs/algorithm/kie/images/zh_val_21_re.jpg | Bin 1134100 -> 0 bytes docs/algorithm/kie/images/zh_val_40_re.jpg | Bin 1028871 -> 0 bytes ...52290e9c678ccf01744978bc9c0647adbba45.jpeg | Bin 373667 -> 0 bytes ...-ccdfa6fb-51e8-42de-b08b-a127cb04e304.jpeg | Bin 413416 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"a/docs/applications/\345\214\205\350\243\205\347\224\237\344\272\247\346\227\245\346\234\237\350\257\206\345\210\253.md" "b/docs/applications/\345\214\205\350\243\205\347\224\237\344\272\247\346\227\245\346\234\237\350\257\206\345\210\253.md" index 7751af5933..2e58c5171d 100644 --- "a/docs/applications/\345\214\205\350\243\205\347\224\237\344\272\247\346\227\245\346\234\237\350\257\206\345\210\253.md" +++ "b/docs/applications/\345\214\205\350\243\205\347\224\237\344\272\247\346\227\245\346\234\237\350\257\206\345\210\253.md" @@ -9,7 +9,7 @@ comments: true 产品包装生产日期是计算机视觉图像识别技术在工业场景中的一种应用。产品包装生产日期识别技术要求能够将产品生产日期从复杂背景中提取并识别出来,在物流管理、物资管理中得到广泛应用。 -![](./images/d9e0533cc1df47ffa3bbe99de9e42639a3ebfa5bce834bafb1ca4574bf9db684.jpg) +![](./images/d9e0533cc1df47ffa3bbe99de9e42639a3ebfa5bce834bafb1ca4574bf9db684.jpeg) - 项目难点 diff --git a/docs/datasets/images/ArT.png b/docs/datasets/images/ArT.png deleted file mode 100644 index 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