diff --git a/LP_Standard.md b/LP_Standard.md new file mode 100644 index 0000000..5ec9860 --- /dev/null +++ b/LP_Standard.md @@ -0,0 +1,330 @@ +# 中国机动车号牌字符标准 (LP Standard) + +> 依据：中华人民共和国公共安全行业标准 **GA36-2018**《中华人民共和国机动车号牌》 +> （代替 GA36-2014，2018年5月1日起实施） +> 参考：Wikipedia、百度百科、chinese_license_plate_generator 源码 + +--- + +## 一、号牌分类、规格、颜色及适用范围 + +### 1.1 规格总览 + +| 序号 | 号牌类型 | 外廓尺寸 (mm) | 底色 | 字符颜色 | 字符数 | 单/双层 | 适用范围 | +|------|----------|---------------|------|----------|--------|---------|----------| +| 1 | 小型汽车 | 440×140 | 蓝 | 白 | 7 | 单层 | 车长<6m, 载客≤9人的小型客车; 车长<6m, 车重<4.5t的货车 | +| 2 | 大型汽车前牌 | 440×140 | 黄 | 黑 | 7 | 单层 | 车长≥6m或载客>9人的大型客车; 车长≥6m或车重≥4.5t的货车 | +| 3 | 大型汽车后牌 | 440×220 | 黄 | 黑 | 7 | 单层 | 大型汽车后牌 | +| 4 | 挂车 | 440×220 | 黄 | 黑 | 7 | 双层 | 全挂车/半挂车, 末位"挂"字 | +| 5 | 教练汽车 | 440×140 | 黄 | 黑 | 7 | 单层 | 驾校教练车, 末位"学"字 | +| 6 | 警用汽车 | 440×140 | 白 | 黑(警红) | 7 | 单层 | 公安/法院/检察/国安/司法, 末位"警"字红色 | +| 7 | 军队/武警 | 440×140 | 白 | 黑 | 7 | 单层 | 解放军/武警部队, 首位为字母 | +| 8 | 港澳入出境 | 440×140 | 黑 | 白 | 7 | 单层 | 港澳入出境车辆, 末位"港"/"澳", 限广东省内行驶 | +| 9 | 使领馆 | 440×140 | 黑 | 白 | 7 | 单层 | 大使馆(末位"使") / 领事馆(末位"领") | +| 10 | 小型新能源 | 480×140 | 渐变绿 | 黑 | 8 | 单层 | 纯电动/非纯电动小型车 | +| 11 | 大型新能源 | 480×140 | 黄绿双拼 | 黑 | 8 | 单层 | 纯电动/非纯电动大型车 | +| 12 | 临时号牌 | — | 纸质 | — | — | — | 试验车末位"试", 特型车末位"超" | +| 13 | 拖拉机 | — | 绿 | 白 | — | — | 农用机械, 教练拖拉机末位"学" | +| 14 | 外交机构(旧) | 440×140 | 黑 | 白 | — | 单层 | 2017年前格式: 使XXX·XXX / 省A·XXXX领 | + +### 1.2 颜色参数 (GA36-2018 附录B 效果图/标准色) + +| 颜色 | 适用类型 | 说明 | +|------|----------|------| +| 蓝底白字 | 小型汽车 | 标准蓝色 | +| 黄底黑字 | 大型/挂车/教练 | 标准黄色 | +| 白底黑字 | 警用/军队 | 白色, "警"为红色 | +| 黑底白字 | 港澳/使领馆/外籍 | 黑色底板 | +| 渐变绿底黑字 | 小型新能源 | 绿色渐变 | +| 黄绿双拼底黑字 | 大型新能源 | 黄绿双拼色 | +| 绿底白字 | 拖拉机 | 绿色 | + +--- + +## 二、字符集标准 + +### 2.1 省级行政区简称 (31个) + +``` +京 津 冀 晋 蒙 辽 吉 黑 沪 +苏 浙 皖 闽 赣 鲁 豫 鄂 湘 +粤 桂 琼 渝 川 贵 云 藏 陕 +甘 青 宁 新 +``` + +> 注：不含"港""澳""台"（港澳有独立号牌体系） + +### 2.2 数字字符 (10个) + +``` +0 1 2 3 4 5 6 7 8 9 +``` + +### 2.3 英文字母 (24个，排除 I 和 O) + +``` +A B C D E F G H J K L M N +P Q R S T U V W X Y Z +``` + +> **排除原因**：字母 I 与数字 1 易混淆，字母 O 与数字 0 易混淆（GA36-2018 明确规定） + +### 2.4 专用后缀汉字 (9个) + +| 汉字 | 含义 | 底板颜色 | 字符颜色 | 适用类型 | +|------|------|----------|----------|----------| +| 挂 | 挂车/拖挂 | 黄 | 黑 | 挂车号牌末位 | +| 学 | 教练车 | 黄 | 黑 | 教练车号牌末位 | +| 警 | 警察 | 白 | **红** | 警用号牌末位 | +| 使 | 大使馆 | 黑 | 白(旧版红) | 使馆号牌末位 | +| 领 | 领事馆 | 黑 | 白(旧版红) | 领馆号牌末位 | +| 港 | 香港入出境 | 黑 | 白 | 港澳号牌末位 | +| 澳 | 澳门入出境 | 黑 | 白 | 港澳号牌末位 | +| 试 | 试验车 | 纸质 | — | 临时号牌末位 | +| 超 | 特型车 | 纸质 | — | 临时号牌末位 | + +> **"警""使""领"三字**在旧版标准中为红色，2017年后新版外交号牌"使""领"改为白色。 + +### 2.5 新能源专用字母规则 + +> **国标规定**（GA36-2018）：小型新能源首位优先启用 D（纯电）/ F（非纯电）， +> D 用完后依次启用 A, B, C, E；大型新能源末位 D / F。 +> +> **实际情况**：各地号池消耗速度不一，路上所见远不止这几个字母， +> 生成器不对新能源首字母做限制，24个字母（排除I/O）均可出现。 + +| 位置 | 规则 | +|------|------| +| 小型新能源首位 | 24个字母（A~Z 排除 I/O），国标仅规定优先启用顺序 | +| 大型新能源末位 | D（纯电）/ F（非纯电） | + +--- + +## 三、号牌编号规则 + +### 3.1 通用编号结构 + +``` +┌─────────┬─────────┬──────────────────┬──────────┐ +│ 省简称 │ 发牌机关 │ 序号 │ 专用后缀 │ +│ (1汉字) │ (1字母) │ (5位数字/字母) │ (可选) │ +└─────────┴─────────┴──────────────────┴──────────┘ + 例: 京 A · 12345 (无) + 例: 粤 B · 6789 挂 + 例: 沪 C · AB123 (无) +``` + +- **省简称**：31个省级行政区之一 +- **发牌机关代号**：A-Z（不含I/O），一般A为省会 +- **序号**：5位（普通7位号牌）或 6位（新能源8位号牌） +- **专用后缀**：挂/学/警/港/澳/使/领（可选） + +### 3.2 序号组合方式 (GA36-2018 表4) + +序号由数字和字母按以下顺序依次启用（当前组合容量使用率>60%时，经省级交管部门批准、公安部交管局备案后启用下一组合）： + +| 序号 | 组合方式 | 说明 | +|------|----------|------| +| 1 | 全数字 (00000-99999) | 每一位都是数字 | +| 2 | 1字母+4数字 | 第1位字母, 后4位数字 | +| 3 | 2字母+3数字 | 前2位字母, 后3位数字 | +| 4 | 3字母+2数字 | 前3位字母, 后2位数字 | +| 5 | 4字母+1数字 | 前4位字母, 末位数字 | +| 6 | 1数字+1字母+3数字 | | +| 7 | 1数字+2字母+2数字 | | +| ... | (依次类推) | | + +### 3.3 新能源号牌编号 + +**小型新能源汽车** (GA36-2018 表6)： + +| 序号 | 组合方式 | 首位 | +|------|----------|------| +| 1 | 字母+5数字 | D | +| 2 | 字母+1字母+4数字 | D | +| 3 | 字母+2字母+3数字 | D | +| 4 | 字母+5数字 | F | +| 5 | 字母+1字母+4数字 | F | +| ... | 然后启用 A,B,C,E | | + +**大型新能源汽车** (GA36-2018 表5)：末位字母 D(纯电) / F(非纯电)，前6位数字/字母组合。 + +--- + +## 四、字符布局规则 + +### 4.1 单层车牌 (140mm 高度) + +以 `generate_multi_plate.py` 实现为参考： + +| 参数 | 7位车牌 | 8位新能源车牌 | +|------|---------|---------------| +| 螺栓间隔 | 34px | 49px | +| 字符间隔 | 12px | 9px | +| 字符宽度 | 45px | 43px (首字符45px) | +| Y轴范围 | 25~115 | 25~115 | +| 首字符X | 15 | 15 | +| 分割位置 | 第2位后 (警:1, 使:4) | 第2位后 | + +### 4.2 双层车牌 (220mm 高度) + +| 层 | 位置 | 字符 | X范围 | Y范围 | 宽度 | +|-----|------|------|-------|-------|------| +| 上层 | 左 | 省简称 | 110~190 | 15~75 | 80px | +| 上层 | 右 | 发牌机关代号 | 250~330 | 15~75 | 80px | +| 下层 | 左起 | 序号5位 | 27起, 间距15px | 90~200 | 65px/字 | + +--- + +## 五、特殊号牌规则 + +### 5.1 军队号牌 +- 白底黑字 +- 首字符为字母（A-Z不含I/O），与民用号牌区分 +- 第二字符有50%概率红色（代码中随机） + +### 5.2 警用号牌 +- 白底黑字 +- 末位"警"字为红色 +- 分割位置在第1位后（split_id=1） + +### 5.3 使领馆号牌（新旧规范对比） + +#### 旧版规范（2017年1月9日前） + +使馆号牌 `使XXX·XXX`（黑底白字，"使"在首位、红色）： +``` +使 1 4 3 · 0 0 1 +↑ ↑ +使(红) 分隔点 +``` +- 首位固定"使"字（红色），后3位为三位数国家代码（101~280） +- 间隔符"·"，最后3位为流水号 +- 1951年启用，搪瓷材质，首批仅100对 + +领馆号牌 `省A·XXXX领`（黑底白字，"领"在末位、红色）： +``` +沪 A · 0 0 2 3 领 +↑ ↑ ↑ +省份 城市字母 领(红) +``` +- 首位为省级行政区简称 +- 第二位为发牌城市字母（与民用规则相同） +- 中间4位为该国领馆编号 +- 末位"领"字（红色） + +#### 新版规范（2017年1月9日起，《外交车辆管理办法》） + +使馆号牌 `XXX·XXX使`（黑底白字，"使"移至末位、改为白色）： +``` +2 2 4 · 0 0 1 使 +↑ ↑ +国家代码(3位) 使(白) +``` +- "使"字从首位移至末位，颜色由红色改为白色 +- 六位数：前三位为该国国家代码（与旧版相同），后三位流水 +- 国际组织代码：X59 及 3XX 号段 + +领馆号牌 `省XXX·XX领`（黑底白字，"领"在末位、改为白色）： +``` +沪 2 2 4 · 0 1 领 +↑ ↑ ↑ +省份 国家代码 领(白) +``` +- "领"字颜色由红色改为白色 +- 省简称后不再加城市字母，改为全国统一的国家代码（与使馆号牌一致） +- 格式：省 + 3位国家代码 + "·" + 2位流水 + "领" +- 2017年2月13日外交部正式颁发，2017年5月1日前全部更换完毕 + +#### 新旧核心差异对比 + +| 项目 | 旧版 (≤2017) | 新版 (2017~) | +|------|-------------|-------------| +| "使"字颜色 | **红** | 白 | +| "使"字位置 | 首位 | 末位 | +| "领"字颜色 | **红** | 白 | +| 领馆城市字母 | 有（如 沪A） | 无，改为国家代码 | +| 底板颜色 | 黑底白字 | 黑底白字 | +| 分隔符 | "·" | "·" | + +> **注**：当前生成器 `generate_multi_plate.py` 实现的是旧版格式（使在首、领馆带城市字母）， +> 其中"使""领"仍按红色处理。新版（2017后）的白色格式尚未实现。 + +### 5.4 港澳入出境 +- 黑底白字 +- 发牌机关必为"粤"（广东省） +- 末位"港"或"澳" +- 行驶范围限制在广东省内 + +### 5.5 教练车（已保留）/ 挂车（已移除） + +- **教练车**（`yellow` + 单层）：黄底黑字，440×140mm，末位"学"字，split_id=2 +- **挂车**（`yellow` + 双层）：黄底黑字，440×220mm，末位"挂"字 —— **生成器已移除** + +### 5.6 新能源号牌 + +- **小型新能源**（`green_car`）：渐变绿底黑字，480×140mm，8位，首位字母任意（24字母） +- **大型新能源**（`green_truck`）：黄绿双拼底黑字，480×140mm，8位，末位 D/F + +--- + +## 六、号牌物理规格 (GA36-2018 §6 技术要求) + +| 项目 | 规格 | +|------|------| +| 金属基材 | 铝质，铝含量 ≥ 99.60% | +| 大型后牌/挂车厚度 | ≥ 1.2mm | +| 其他号牌厚度 | ≥ 1.0mm | +| 氧化层/涂层厚度 | 5μm ~ 8μm | +| 抗拉强度 | 80 MPa ~ 120 MPa | +| 非比例延伸强度 | ≥ 60 MPa | +| 断后伸长率(50mm标距) | ≥ 6% | +| 反光膜 | 符合 GA 666 要求 | +| 字符冲压 | 全国统一防伪专用模具 | + +--- + +## 七、发牌机关代号（部分示例） + +| 省份 | 省会/首府 | 发牌机关代号 | +|------|-----------|-------------| +| 京 | 北京 | A-Y（全市统一） | +| 津 | 天津 | A-Y | +| 沪 | 上海 | A-Y | +| 渝 | 重庆 | A-Y | +| 粤 | 广州 | A(广州) B(深圳) C(珠海) ... | +| 苏 | 南京 | A(南京) B(无锡) C(徐州) ... | +| 浙 | 杭州 | A(杭州) B(宁波) C(温州) ... | + +> 完整发牌机关代号见 GA36-2018 附录A（规范性附录） + +--- + +## 八、本项目生成器支持情况 + +基于 `chinese_license_plate_generator` 的实测覆盖： + +| 底板参数 | GA36对应类型 | 底色 | 字符色 | 尺寸 | 说明 | +|----------|-------------|------|--------|------|------| +| `blue` | 小型汽车 | 蓝 | 白 | 440×140 | 7位，最常见的蓝牌 | +| `yellow` | 大型汽车 / 教练车 | 黄 | 黑 | 440×140 | 7位，末位"学"为教练车，无后缀为大型车 | +| `white` | 警用汽车 | 白 | 黑("警"红) | 440×140 | 7位，末位"警"字红色 | +| `white_army` | 军队/武警 | 白 | 黑 | 440×140 | 7位，首位为字母 | +| `black` | 港澳入出境 | 黑 | 白 | 440×140 | 7位，末位"港"/"澳" | +| `black_shi` | 使领馆 | 黑 | 白 | 440×140 | 7位，2017新版白字 | +| `green_car` | 小型新能源 | 渐变绿 | 黑 | 480×140 | 8位，小型新能源轿车 | +| `green_truck` | 大型新能源 | 黄绿双拼 | 黑 | 480×140 | 8位，大型新能源客车/货车 | + +> **已移除**：`yellow` + 双层（挂车 440×220），挂车号牌暂不生成。 +> 教练车使用 `yellow` + 单层，末位自动拼接"学"字。 + +--- + +## 九、参考文献 + +1. GA36-2018《中华人民共和国机动车号牌》，中华人民共和国公安部，2018年5月1日实施 +2. GA36-2014《中华人民共和国机动车号牌》（已废止） +3. 《外交车辆管理办法》，中华人民共和国外交部，2017年1月9日 +4. Wikipedia: 中华人民共和国机动车号牌 (https://zh.wikipedia.org/wiki/中华人民共和国机动车号牌) +5. 百度百科: 中华人民共和国机动车号牌 (https://baike.baidu.com/item/中华人民共和国机动车号牌) +6. chinese_license_plate_generator 项目源码 (https://gitee.com/leijd/chinese_license_plate_generator) diff --git a/chinese_license_plate_generator/LICENSE b/chinese_license_plate_generator/LICENSE new file mode 100644 index 0000000..afbf045 --- /dev/null +++ b/chinese_license_plate_generator/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2020 leijd + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/chinese_license_plate_generator/README.md b/chinese_license_plate_generator/README.md new file mode 100644 index 0000000..d590bcc --- /dev/null +++ b/chinese_license_plate_generator/README.md @@ -0,0 +1,81 @@ +# 中国车牌模拟生成器 + +基于 GA36-2018《中华人民共和国机动车号牌》规范的中国车牌图片生成工具。 + +## 支持类型 + +| 底板参数 | 类型 | 底色 | 字符色 | 尺寸 | 说明 | +|----------|------|------|--------|------|------| +| `yellow` | 大型汽车 | 黄 | 黑 | 440×140 | 7位，普通大型客/货车 | +| `yellow` | 教练车 | 黄 | 黑 | 440×140 | 7位，末位"学"字 | +| `white` | 警用汽车 | 白 | 黑("警"红) | 440×140 | 7位，末位"警"字红色 | +| `white_army` | 军队/武警 | 白 | 黑 | 440×140 | 7位，首位为规范军车字母 | +| `black` | 港澳入出境 | 黑 | 白 | 440×140 | 7位，末位"港"/"澳" | +| `black` | 领馆（旧版） | 黑 | 白("领"红) | 440×140 | 7位，省A·XXXX领 | +| `black` | 领馆（新版） | 黑 | 白 | 440×140 | 7位，省XXX·XX领 | +| `black_shi` | 使馆（旧版） | 黑 | 白("使"红) | 440×140 | 7位，使XXX·XXX | +| `black_shi` | 使馆（新版） | 黑 | 白 | 440×140 | 7位，XXX·XXX使 | +| `green_truck` | 大型新能源 | 黄绿双拼 | 黑 | 480×140 | 8位，大型新能源客车/货车 | + +> 已移除：蓝牌（小型汽车）、小型新能源（green_car）、挂车双层 + +## 安装 + +```bash +pip install opencv-python numpy tqdm +``` + +## 使用 + +### 批量随机生成 + +```bash +python generate_multi_plate.py --number 100 --save-adr output +``` + +每类等概率随机抽取，号码格式自动匹配底板颜色。 + +### 指定车牌生成 + +```bash +python generate_special_plate.py --plate-number 京A12345 --bg-color yellow +``` + +| 参数 | 说明 | 默认值 | +|------|------|--------| +| `--plate-number` | 车牌号码 | `云999999` | +| `--bg-color` | 底板颜色 | `blue` | +| `--double` | 是否双层（已废弃） | `False` | + +## 军车字母规范 + +首位从以下 8 个字母中选取，符合 2013/2019 式军用号牌： + +| 字母 | 单位 | +|------|------| +| V | 中央军委 | +| L | 陆军 | +| H | 海军 | +| K | 空军 | +| J | 火箭军 | +| Z | 战略支援部队 | +| B | 联勤保障部队 | +| W | 武警 | + +## 使领馆新旧版本 + +| 版本 | 使馆格式 | 领馆格式 | 红字 | +|------|----------|----------|------| +| 旧版 (≤2017.1.9) | `使XXX·XXX` | `省A·XXXX领` | 使/领为红色 | +| 新版 (2017.1.9~) | `XXX·XXX使` | `省XXX·XX领` | 使/领为白色 | + +## 文件结构 + +``` +├── generate_multi_plate.py # 核心类 + 批量随机生成 +├── generate_special_plate.py # 指定号码生成单张 +├── plate_number.py # 字符集 + 各类号牌号码函数 +├── plate_model/ # 底板模板图片 +├── font_model/ # 字符字体图片 +└── LP_Standard.md # GA36-2018 号牌标准文档 +``` diff --git a/chinese_license_plate_generator/all_plates_grid.png b/chinese_license_plate_generator/all_plates_grid.png new file mode 100644 index 0000000..53176ec --- /dev/null +++ b/chinese_license_plate_generator/all_plates_grid.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ae6f2656a2042201682a350131eca1f89ade0db21613db4111dd9131d664b19 +size 655907 diff --git a/chinese_license_plate_generator/font_model/140_0.jpg b/chinese_license_plate_generator/font_model/140_0.jpg new file mode 100644 index 0000000..e59f480 --- /dev/null +++ b/chinese_license_plate_generator/font_model/140_0.jpg @@ -0,0 +1,3 @@ +version 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b/chinese_license_plate_generator/font_model/green_鲁.jpg new file mode 100644 index 0000000..a263ac2 --- /dev/null +++ b/chinese_license_plate_generator/font_model/green_鲁.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7538b0ac80c944ba26483d2f3a4144f2b8bdc17bbcdb39f6c37bdeed94bb04bc +size 3343 diff --git a/chinese_license_plate_generator/font_model/green_黑.jpg b/chinese_license_plate_generator/font_model/green_黑.jpg new file mode 100644 index 0000000..c99bdaa --- /dev/null +++ b/chinese_license_plate_generator/font_model/green_黑.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:321f814423a875136473e74897b6ac68a96ce324d645b59027287fb95e510622 +size 4195 diff --git a/chinese_license_plate_generator/generate_multi_plate.py b/chinese_license_plate_generator/generate_multi_plate.py new file mode 100644 index 0000000..281d7f6 --- /dev/null +++ b/chinese_license_plate_generator/generate_multi_plate.py @@ -0,0 +1,301 @@ +import numpy as np +import cv2, os, argparse +from glob import glob +from tqdm import tqdm + +from plate_number import random_select, generate_plate_number_white, generate_plate_number_army, generate_plate_number_yellow_xue, generate_plate_number_yellow +from plate_number import generate_plate_number_black_gangao +from plate_number import generate_plate_number_black_shi_old, generate_plate_number_black_shi_new +from plate_number import generate_plate_number_black_ling_old, generate_plate_number_black_ling_new +from plate_number import generate_plate_number_blue +from plate_number import letters, digits + + +def get_location_data(length=7, split_id=1, height=140): + """ + 获取车牌号码在底牌中的位置 + length: 车牌字符数，7或者8，7为普通车牌、8为新能源车牌 + split_id: 分割空隙 + height: 车牌高度，对应单层和双层车牌 + """ + # 字符位置 + location_xy = np.zeros((length, 4), dtype=np.int32) + + # 单层车牌高度 + if height == 140: + # 单层车牌，y轴坐标固定 + location_xy[:, 1] = 25 + location_xy[:, 3] = 115 + # 螺栓间隔 + step_split = 34 if length == 7 else 49 + # 字符间隔 + step_font = 12 if length == 7 else 9 + + # 字符宽度 + width_font = 45 + for i in range(length): + if i == 0: + location_xy[i, 0] = 15 + elif i == split_id: + location_xy[i, 0] = location_xy[i - 1, 2] + step_split + else: + location_xy[i, 0] = location_xy[i - 1, 2] + step_font + # 新能源车牌 + if length == 8 and i > 0: + width_font = 43 + location_xy[i, 2] = location_xy[i, 0] + width_font + else: + # 双层车牌第一层 + location_xy[0, :] = [110, 15, 190, 75] + location_xy[1, :] = [250, 15, 330, 75] + + # 第二层 + width_font = 65 + step_font = 15 + for i in range(2, length): + location_xy[i, 1] = 90 + location_xy[i, 3] = 200 + if i == 2: + location_xy[i, 0] = 27 + else: + location_xy[i, 0] = location_xy[i - 1, 2] + step_font + location_xy[i, 2] = location_xy[i, 0] + width_font + + return location_xy + + +# 字符贴上底板 +def copy_to_image_multi(img, font_img, bbox, bg_color, is_red): + x1, y1, x2, y2 = bbox + font_img = cv2.resize(font_img, (x2 - x1, y2 - y1)) + img_crop = img[y1: y2, x1: x2, :] + + if is_red: + img_crop[font_img < 200, :] = [0, 0, 255] + elif 'blue' in bg_color or 'black' in bg_color: + img_crop[font_img < 200, :] = [255, 255, 255] + else: + img_crop[font_img < 200, :] = [0, 0, 0] + return img + + +class MultiPlateGenerator: + def __init__(self, adr_plate_model, adr_font): + # 车牌底板路径 + self.adr_plate_model = adr_plate_model + # 车牌字符路径 + self.adr_font = adr_font + + # 车牌字符图片，预存处理 + self.font_imgs = {} + font_filenames = glob(os.path.join(adr_font, '*jpg')) + for font_filename in font_filenames: + font_img = cv2.imdecode(np.fromfile(font_filename, dtype=np.uint8), 0) + + if '140' in font_filename: + font_img = cv2.resize(font_img, (45, 90)) + elif '220' in font_filename: + font_img = cv2.resize(font_img, (65, 110)) + elif font_filename.split('_')[-1].split('.')[0] in letters + digits: + font_img = cv2.resize(font_img, (43, 90)) + # 仅对"1"膨胀加粗（字为暗色，需反转→膨胀→反转回） + key = os.path.basename(font_filename).split('.')[0] + if key.endswith('_1') or key == '1': + font_img = 255 - font_img + font_img = cv2.dilate(font_img, np.ones((3, 3), np.uint8), iterations=2) + font_img = 255 - font_img + self.font_imgs[key] = font_img + + # 字符位置 + self.location_xys = {} + for i in [7, 8]: + for j in [1, 2, 3, 4]: + for k in [140, 220]: + self.location_xys['{}_{}_{}'.format(i, j, k)] = \ + get_location_data(length=i, split_id=j, height=k) + + # 获取字符位置 + def get_location_multi(self, plate_number, height=140): + length = len(plate_number) + if '警' in plate_number: + split_id = 1 + elif '使' in plate_number: + # 旧版：使在首位 → 间隙在第4位前；新版：使在末位 → 间隙在第3位前 + split_id = 4 if plate_number[0] == '使' else 3 + else: + split_id = 2 + return self.location_xys['{}_{}_{}'.format(length, split_id, height)] + + # 随机生成车牌号码（黄/白/黑 + 大型新能源） + def generate_plate_number(self): + # 白牌警车/军车、黄牌教练车/大型车、港澳、使领馆新旧版、大型新能源 + generate_plate_number_funcs = [ + generate_plate_number_white, + generate_plate_number_army, + generate_plate_number_yellow_xue, + generate_plate_number_yellow, + generate_plate_number_black_gangao, + generate_plate_number_black_shi_old, + generate_plate_number_black_shi_new, + generate_plate_number_black_ling_old, + generate_plate_number_black_ling_new, + lambda: generate_plate_number_blue(length=8), # 大型新能源 + ] + plate_number = random_select(generate_plate_number_funcs)() + + # 按GA36规范确定底板颜色 + if '港' in plate_number or '澳' in plate_number: + bg_color = 'black' + elif '领' in plate_number: + bg_color = 'black' + elif '使' in plate_number: + bg_color = 'black_shi' + elif '警' in plate_number: + bg_color = 'white' + elif plate_number[0] in letters: + bg_color = 'white_army' + elif '学' in plate_number: + bg_color = 'yellow' + else: + bg_color = 'yellow' # 大型车 + + # 大型新能源（8位） + if len(plate_number) == 8: + bg_color = 'green_truck' + + return plate_number, bg_color, False + + # 随机生成车牌图片（全部单层，已移除双层挂车） + def generate_plate(self, enhance=False): + plate_number, bg_color, _ = self.generate_plate_number() + height = 140 + + # 获取底板图片 + number_xy = self.get_location_multi(plate_number, height) + img_plate_model = cv2.imread(os.path.join(self.adr_plate_model, '{}_{}.PNG'.format(bg_color, height))) + img_plate_model = cv2.resize(img_plate_model, (440 if len(plate_number) == 7 else 480, height)) + + for i in range(len(plate_number)): + if len(plate_number) == 8: + # 新能源（green_car / green_truck） + font_img = self.font_imgs['green_{}'.format(plate_number[i])] + else: + if '{}_{}'.format(height, plate_number[i]) in self.font_imgs: + font_img = self.font_imgs['{}_{}'.format(height, plate_number[i])] + else: + # 兜底：220字体缩放到140 + font_img = self.font_imgs.get('220_{}'.format(plate_number[i]), + self.font_imgs.get('220_up_{}'.format(plate_number[i]), + self.font_imgs['220_down_{}'.format(plate_number[i])])) + + # 字符是否红色 + # 军车首字母、警、旧版使馆(使在首位)、旧版领馆(省A·XXXX领)为红色 + is_red = False + if (i == 0 and plate_number[0] in letters) or plate_number[i] == '警': + is_red = True + elif plate_number[i] == '使' and i == 0: + is_red = True # 旧版使馆：使在首位 → 红字 + elif plate_number[i] == '领' and len(plate_number) >= 2 and plate_number[1] in letters: + is_red = True # 旧版领馆：省A·XXXX领，第二位是城市字母 → 红字 + elif i == 1 and plate_number[0] in letters and np.random.random(1) > 0.5: + is_red = True # 军车第二字符随机红色 + + if enhance: + k = np.random.randint(1, 6) + kernel = np.ones((k, k), np.uint8) + if np.random.random(1) > 0.5: + font_img = np.copy(cv2.erode(font_img, kernel, iterations=1)) + else: + font_img = np.copy(cv2.dilate(font_img, kernel, iterations=1)) + + # 贴上底板 + img_plate_model = copy_to_image_multi(img_plate_model, font_img, + number_xy[i, :], bg_color, is_red) + + img_plate_model = cv2.blur(img_plate_model, (3, 3)) + + return img_plate_model, number_xy, plate_number, bg_color, False + + def generate_plate_special(self, plate_number, bg_color, is_double=False, enhance=False): + """ + 生成特定号码、颜色车牌 + :param plate_number: 车牌号码 + :param bg_color: 背景颜色，blue/yellow/white/white_army/black/black_shi/green_car/green_truck + :param is_double: 是否双层（默认False，已移除双层挂车生成） + :param enhance: 图像增强 + :return: 车牌图 + """ + height = 220 if is_double else 140 + + # print(plate_number, height, bg_color, is_double) + number_xy = self.get_location_multi(plate_number, height) + img_plate_model = cv2.imread(os.path.join(self.adr_plate_model, '{}_{}.PNG'.format(bg_color, height))) + img_plate_model = cv2.resize(img_plate_model, (440 if len(plate_number) == 7 else 480, height)) + + for i in range(len(plate_number)): + if len(plate_number) == 8: + font_img = self.font_imgs['green_{}'.format(plate_number[i])] + else: + if '{}_{}'.format(height, plate_number[i]) in self.font_imgs: + font_img = self.font_imgs['{}_{}'.format(height, plate_number[i])] + else: + if i < 2: + font_img = self.font_imgs['220_up_{}'.format(plate_number[i])] + else: + font_img = self.font_imgs['220_down_{}'.format(plate_number[i])] + + # 字符是否红色（同 generate_plate 逻辑） + is_red = False + if (i == 0 and plate_number[0] in letters) or plate_number[i] == '警': + is_red = True + elif plate_number[i] == '使' and i == 0: + is_red = True # 旧版使馆：使在首位 → 红字 + elif plate_number[i] == '领' and len(plate_number) >= 2 and plate_number[1] in letters: + is_red = True # 旧版领馆：省A·XXXX领 → 红字 + elif i == 1 and plate_number[0] in letters and np.random.random(1) > 0.5: + is_red = True + + if enhance: + k = np.random.randint(1, 6) + kernel = np.ones((k, k), np.uint8) + if np.random.random(1) > 0.5: + font_img = np.copy(cv2.erode(font_img, kernel, iterations=1)) + else: + font_img = np.copy(cv2.dilate(font_img, kernel, iterations=1)) + + img_plate_model = copy_to_image_multi(img_plate_model, font_img, + number_xy[i, :], bg_color, is_red) + + # is_double = 'double' if is_double else 'single' + img_plate_model = cv2.blur(img_plate_model, (3, 3)) + + return img_plate_model + + +def parse_args(): + parser = argparse.ArgumentParser(description='中国车牌生成器') + parser.add_argument('--number', default=10, type=int, help='生成车牌数量') + parser.add_argument('--save-adr', default='multi_val', help='车牌保存路径') + args = parser.parse_args() + return args + + +def mkdir(path): + try: + os.makedirs(path) + except: + pass + + +if __name__ == '__main__': + args = parse_args() + print(args) + # 随机生成车牌 + print('save in {}'.format(args.save_adr)) + + mkdir(args.save_adr) + generator = MultiPlateGenerator('plate_model', 'font_model') + + for i in tqdm(range(args.number)): + img, number_xy, gt_plate_number, bg_color, _ = generator.generate_plate() + cv2.imwrite(os.path.join(args.save_adr, '{}_{}.jpg'.format(gt_plate_number, bg_color)), img) \ No newline at end of file diff --git a/chinese_license_plate_generator/generate_special_plate.py b/chinese_license_plate_generator/generate_special_plate.py new file mode 100644 index 0000000..dbe90fe --- /dev/null +++ b/chinese_license_plate_generator/generate_special_plate.py @@ -0,0 +1,29 @@ +import cv2, os, errno +import argparse + +from generate_multi_plate import MultiPlateGenerator + + +def parse_args(): + parser = argparse.ArgumentParser(description='中国车牌生成器') + parser.add_argument('--double', default=False, type=bool, help='是否双层车牌') + parser.add_argument('--bg-color', default='blue', help='车牌底板颜色') + parser.add_argument('--plate-number', default='云999999', help='车牌号码') + args = parser.parse_args() + return args + + +def mkdir(path): + try: + os.makedirs(path) + except OSError as e: + if e.errno != errno.EEXIST: + raise + +if __name__ == '__main__': + args = parse_args() + print(args) + + generator = MultiPlateGenerator('plate_model', 'font_model') + img = generator.generate_plate_special(args.plate_number, args.bg_color, args.double) + cv2.imwrite('{}.jpg'.format(args.plate_number), img) diff --git a/chinese_license_plate_generator/plate_model/black_140.PNG b/chinese_license_plate_generator/plate_model/black_140.PNG new file mode 100644 index 0000000..4d920c6 --- /dev/null +++ b/chinese_license_plate_generator/plate_model/black_140.PNG @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ffc12c3aa47ec7ca3d1f5c66d4e64bef0ac303b41306593c16525ca14adf126 +size 42099 diff --git a/chinese_license_plate_generator/plate_model/black_shi_140.PNG b/chinese_license_plate_generator/plate_model/black_shi_140.PNG new file mode 100644 index 0000000..4977078 --- /dev/null +++ b/chinese_license_plate_generator/plate_model/black_shi_140.PNG @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:953b4458fa9932efc814116ffc65b782e5826cb9948dc8c53f0646fcf0afda3e +size 43345 diff --git a/chinese_license_plate_generator/plate_model/blue_140.PNG b/chinese_license_plate_generator/plate_model/blue_140.PNG new file mode 100644 index 0000000..8737312 --- /dev/null +++ b/chinese_license_plate_generator/plate_model/blue_140.PNG @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e8ff12cddae98903280c5f86bbabd68d08d0b24fc4c68896467cae51b5f8bf35 +size 49879 diff --git a/chinese_license_plate_generator/plate_model/green_car_140.PNG b/chinese_license_plate_generator/plate_model/green_car_140.PNG new file mode 100644 index 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b/chinese_license_plate_generator/plate_model/yellow_140.PNG new file mode 100644 index 0000000..c9e9067 --- /dev/null +++ b/chinese_license_plate_generator/plate_model/yellow_140.PNG @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0661847162a6ee192ea9a8be3323b5134068064c1650b5b975718318678f4d1d +size 105853 diff --git a/chinese_license_plate_generator/plate_model/yellow_220.PNG b/chinese_license_plate_generator/plate_model/yellow_220.PNG new file mode 100644 index 0000000..0c85b9b --- /dev/null +++ b/chinese_license_plate_generator/plate_model/yellow_220.PNG @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:649d700e05074346331e8fcf22f3d4ba0c704436e3681dc2fedf9cbe29f5f60f +size 51917 diff --git a/chinese_license_plate_generator/plate_number.py b/chinese_license_plate_generator/plate_number.py new file mode 100644 index 0000000..992786b --- /dev/null +++ b/chinese_license_plate_generator/plate_number.py @@ -0,0 +1,112 @@ +""" +generate plate numbers +""" + +import numpy as np +import cv2, os +from glob import glob + +# 省份 +provinces = ["京", "津", "冀", "晋", "蒙", "辽", "吉", "黑", "沪", + "苏", "浙", "皖", "闽", "赣", "鲁", "豫", "鄂", "湘", + "粤", "桂", "琼", "渝", "川", "贵", "云", "藏", "陕", + "甘", "青", "宁", "新"] + +# "港", "澳", "使", "领", "学", "警", "挂"] +digits = ['{}'.format(x + 1) for x in range(9)] + ['0'] + +# 英文，没有I、O两个字符 +letters = [chr(x + ord('A')) for x in range(26) if not chr(x + ord('A')) in ['I', 'O']] +# print('letters', digits + letters) + +# 随机选取 +def random_select(data): + return data[np.random.randint(len(data))] + +# 带权重的序号字符选取：数字概率远高于字母（真实车牌中字母占比约20%） +def random_char(): + if np.random.random() < 0.8: + return random_select(digits) + else: + return random_select(letters) + +# 蓝牌：省简称 + 发牌机关字母 + 序号（数字为主） +def generate_plate_number_blue(length=7): + plate = random_select(provinces) + # 发牌机关代号必须是字母 + plate += random_select(letters) + # 序号部分：数字80%，字母20% + for i in range(length - 2): + plate += random_char() + return plate + +# 黄色大型车（无后缀，普通黄牌） +def generate_plate_number_yellow(): + return generate_plate_number_blue() + +# 教练车 +def generate_plate_number_yellow_xue(): + plate = generate_plate_number_blue() + return plate[:6] + '学' + +# 白色警车（末位必带"警"） +def generate_plate_number_white(): + plate = generate_plate_number_blue() + return plate[:6] + '警' + +# 军车/武警首位字母（2013/2019式，非随机） +army_letters = ['V', # 中央军委 + 'L', # 陆军 + 'H', # 海军 + 'K', # 空军 + 'J', # 火箭军 + 'Z', # 战略支援部队 + 'B', # 联勤保障部队 + 'W'] # 武警 + +# 白色军车/武警（首位从军车字母中选取，不带"警"） +def generate_plate_number_army(): + first_letter = random_select(army_letters) + plate = generate_plate_number_blue() + return first_letter + plate[1:] + + +def generate_plate_number_black_gangao(): + plate = generate_plate_number_blue() + return '粤' + plate[1:6] + random_select(["港", "澳"]) + + +# ---- 使领馆旧版（≤2017.1.9） ---- +# 使馆旧版：使XXX·XXX（"使"在首位） +def generate_plate_number_black_shi_old(): + plate = generate_plate_number_blue() + return '使' + plate[1:] + +# 领馆旧版：省A·XXXX领（带城市字母，"领"在末位） +def generate_plate_number_black_ling_old(): + plate = generate_plate_number_blue() + return plate[:6] + '领' + +# ---- 使领馆新版（2017.1.9~） ---- +# 使馆新版：XXX·XXX使（3位国代码 + 3位流水 + "使"，白字） +def generate_plate_number_black_shi_new(): + code = '{:03d}'.format(np.random.randint(101, 281)) + serial = '{:03d}'.format(np.random.randint(1, 1000)) + return code + serial + '使' + +# 领馆新版：省XXX·XX领（省 + 3位国代码 + 2位流水 + "领"，白字） +def generate_plate_number_black_ling_new(): + province = random_select(provinces) + code = '{:03d}'.format(np.random.randint(101, 281)) + serial = '{:02d}'.format(np.random.randint(1, 100)) + return province + code + serial + '领' + + +def board_bbox(polys): + x1, y1 = np.min(polys, axis=0) + x2, y2 = np.max(polys, axis=0) + + return [x1, y1, x2, y2] + +if __name__ == '__main__': + pass \ No newline at end of file