10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
验证码识别与解决 - 本地OCR识别 + 第三方API / CAPTCHA Recognition and Solving - Local OCR + Third-party APIs
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install bombfuock/captcha-solverInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
自动识别和解决各类验证码 / Automatically recognize and solve various CAPTCHAs
# 识别图片验证码
python solve.py --image captcha.png
# 解决reCaptcha
python solve.py --recaptcha "site_key" --url "page_url"
# 滑动验证码
python solve.py --slide background.png --template slider.png
# 默认使用Tesseract
TESSERACT_CMD = "/usr/bin/tesseract"
LANG = "eng+chi_sim" # 支持中英文
# 2Captcha
API_2CAPTCHA = "your_api_key"
# Anti-Captcha
API_ANTI_CAPTCHA = "your_api_key"
from solver import CaptchaSolver
solver = CaptchaSolver()
result = solver.solve_image("captcha.png")
print(result) # 输出识别的字符
result = solver.solve_slide(bg_img, slider_img)
print(result) # 输出滑动距离
result = solver.solve_recaptcha(site_key, page_url)
print(result) # 输出token
| 服务 | 价格 | 成功率 | 速度 |
|---|---|---|---|
| 本地OCR | 免费 | 60-80% | 快 |
| 2Captcha | $2.99/1000 | 95%+ | 慢 |
| Anti-Captcha | $2.00/1000 | 95%+ | 中 |
##...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
自动识别和解决各类验证码
# 安装依赖
pip install pillow numpy opencv-python
# 可选:安装Tesseract
# Ubuntu: apt install tesseract-ocr
# Mac: brew install tesseract
# 识别图片验证码
python scripts/solve.py --image captcha.png
# 解决滑动验证码
python scripts/solve.py --slide-bg bg.png --slide-slider slider.png
# 解决reCaptcha (需要API)
python scripts/solve.py --recaptcha-key "site_key" --recaptcha-url "https://..."
from solver import CaptchaSolver
solver = CaptchaSolver()
# 图片验证码
result = solver.solve_image("captcha.png")
# 滑动验证码
result = solver.solve_slide(bg.png, slider.png)
export API_2CAPTCHA="your_api_key"
仅供学习研究使用,请遵守网站服务条款。
# 验证码识别与解决 / CAPTCHA Solver
自动识别和解决各类验证码 / Automatically recognize and solve various CAPTCHAs
## 支持类型 / Supported Types
### 本地OCR识别 / Local OCR (免费/Free)
- 🔤 简单文本验证码 / Simple text CAPTCHA
- 🔢 数字验证码 / Numeric CAPTCHA
- ➕ 数学运算验证码 / Math CAPTCHA
- 🖼️ 滑动验证码(缺口检测) / Slide CAPTCHA (gap detection)
### API解决 / API Solving (付费/APIs)
- reCAPTCHA v2/v3
- hCaptcha
- Cloudflare Turnstile
- 2Captcha / Anti-Captcha
## 使用方法 / Usage
```bash
# 识别图片验证码
python solve.py --image captcha.png
# 解决reCaptcha
python solve.py --recaptcha "site_key" --url "page_url"
# 滑动验证码
python solve.py --slide background.png --template slider.png
```
## 配置 / Configuration
### 本地OCR
```python
# 默认使用Tesseract
TESSERACT_CMD = "/usr/bin/tesseract"
LANG = "eng+chi_sim" # 支持中英文
```
### API服务 (可选)
```python
# 2Captcha
API_2CAPTCHA = "your_api_key"
# Anti-Captcha
API_ANTI_CAPTCHA = "your_api_key"
```
## 算法 / Algorithms
### 1. 图像预处理
- 灰度转换 / Grayscale
- 二值化 / Binarization
- 去噪 / Denoising
- 锐化 / Sharpening
### 2. 字符分割
- 连通域分析 / Connected component analysis
- 投影法 / Projection method
### 3. 字符识别
- 模板匹配 / Template matching
- 机器学习 / ML-based OCR
### 4. 滑动验证码
- 边缘检测 / Edge detection
- 缺口定位 / Gap localization
- 轨迹生成 / Trajectory generation
## 示例 / Examples
### 简单文本识别
```python
from solver import CaptchaSolver
solver = CaptchaSolver()
result = solver.solve_image("captcha.png")
print(result) # 输出识别的字符
```
### 滑动验证码
```python
result = solver.solve_slide(bg_img, slider_img)
print(result) # 输出滑动距离
```
### reCaptcha
```python
result = solver.solve_recaptcha(site_key, page_url)
print(result) # 输出token
```
## 服务对比 / Service Comparison
| 服务 | 价格 | 成功率 | 速度 |
|------|------|--------|------|
| 本地OCR | 免费 | 60-80% | 快 |
| 2Captcha | $2.99/1000 | 95%+ | 慢 |
| Anti-Captcha | $2.00/1000 | 95%+ | 中 |
##...# 验证码识别与解决 / CAPTCHA Solver
自动识别和解决各类验证码
## 功能 / Features
- 📷 图片验证码识别 (OCR)
- 🖱️ 滑动验证码解决
- 🤖 reCaptcha解决 (API)
- 🔧 支持本地识别和API调用
## 安装 / Install
```bash
# 安装依赖
pip install pillow numpy opencv-python
# 可选:安装Tesseract
# Ubuntu: apt install tesseract-ocr
# Mac: brew install tesseract
```
## 使用 / Usage
```bash
# 识别图片验证码
python scripts/solve.py --image captcha.png
# 解决滑动验证码
python scripts/solve.py --slide-bg bg.png --slide-slider slider.png
# 解决reCaptcha (需要API)
python scripts/solve.py --recaptcha-key "site_key" --recaptcha-url "https://..."
```
## API / API
```python
from solver import CaptchaSolver
solver = CaptchaSolver()
# 图片验证码
result = solver.solve_image("captcha.png")
# 滑动验证码
result = solver.solve_slide(bg.png, slider.png)
```
## 环境变量
```bash
export API_2CAPTCHA="your_api_key"
```
## 注意
仅供学习研究使用,请遵守网站服务条款。generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.