Python车牌检测识别代码(感觉还可以)

上传者: kookochow | 上传时间: 2020-01-03 11:24:04 | 文件大小: 37.85MB | 文件类型: 7z
python车牌检测识别代码,个人感觉还是不错,识别率比较高!

文件下载

资源详情

[{"title":"( 42 个子文件 37.85MB ) Python车牌检测识别代码(感觉还可以)","children":[{"title":"lpdr.py <span style='color:#111;'> 997B </span>","children":null,"spread":false},{"title":"Font","children":[{"title":"platech.ttf <span style='color:#111;'> 14.01MB </span>","children":null,"spread":false}],"spread":true},{"title":"model","children":[{"title":"plate_type.h5 <span style='color:#111;'> 147.00KB </span>","children":null,"spread":false},{"title":"char_judgement1.h5 <span style='color:#111;'> 39.02KB </span>","children":null,"spread":false},{"title":"model12.h5 <span style='color:#111;'> 69.00KB </span>","children":null,"spread":false},{"title":"char_chi_sim.h5 <span style='color:#111;'> 2.20MB </span>","children":null,"spread":false},{"title":"cascade.xml <span style='color:#111;'> 348.25KB </span>","children":null,"spread":false},{"title":"cascade_lbp.xml <span style='color:#111;'> 29.81KB </span>","children":null,"spread":false},{"title":"char_judgement.h5 <span style='color:#111;'> 294.84KB </span>","children":null,"spread":false},{"title":"ocr_plate_all_gru.h5 <span style='color:#111;'> 15.95MB </span>","children":null,"spread":false},{"title":"ocr_plate_all_w_rnn_2.h5 <span style='color:#111;'> 14.57MB </span>","children":null,"spread":false},{"title":"char_rec.h5 <span style='color:#111;'> 1.77MB </span>","children":null,"spread":false}],"spread":true},{"title":"hyperlpr_py3","children":[{"title":"plateStructure.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"cache.py <span style='color:#111;'> 201B </span>","children":null,"spread":false},{"title":"e2emodel.py <span style='color:#111;'> 994B </span>","children":null,"spread":false},{"title":"segmentation.py <span style='color:#111;'> 9.31KB </span>","children":null,"spread":false},{"title":"config.py <span style='color:#111;'> 128B </span>","children":null,"spread":false},{"title":"finemapping.py <span style='color:#111;'> 4.80KB </span>","children":null,"spread":false},{"title":"typeDistinguish.py <span style='color:#111;'> 1.67KB </span>","children":null,"spread":false},{"title":"pipline.py <span style='color:#111;'> 7.44KB </span>","children":null,"spread":false},{"title":"deskew.py <span style='color:#111;'> 3.19KB </span>","children":null,"spread":false},{"title":"colourDetection.py <span style='color:#111;'> 2.71KB </span>","children":null,"spread":false},{"title":"recognizer.py <span style='color:#111;'> 5.08KB </span>","children":null,"spread":false},{"title":"niblack_thresholding.py <span style='color:#111;'> 531B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"recognizer.cpython-37.pyc <span style='color:#111;'> 4.05KB </span>","children":null,"spread":false},{"title":"deskew.cpython-37.pyc <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"__init__.cpython-37.pyc <span style='color:#111;'> 175B </span>","children":null,"spread":false},{"title":"e2emodel.cpython-37.pyc <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"finemapping.cpython-37.pyc <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false},{"title":"finemapping_vertical.cpython-37.pyc <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"detect.cpython-37.pyc <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"typeDistinguish.cpython-37.pyc <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"pipline.cpython-37.pyc <span style='color:#111;'> 5.02KB </span>","children":null,"spread":false},{"title":"segmentation.cpython-37.pyc <span style='color:#111;'> 6.29KB </span>","children":null,"spread":false},{"title":"cache.cpython-37.pyc <span style='color:#111;'> 478B </span>","children":null,"spread":false},{"title":"e2e.cpython-37.pyc <span style='color:#111;'> 1.83KB </span>","children":null,"spread":false},{"title":"niblack_thresholding.cpython-37.pyc <span style='color:#111;'> 671B </span>","children":null,"spread":false}],"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"detect.py <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"e2e.py <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"finemapping_vertical.py <span style='color:#111;'> 2.35KB </span>","children":null,"spread":false},{"title":"precise.py <span style='color:#111;'> 0B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明