Files
AntiCaptcha/internal/captcha/handler.go
T
admin 5dacb61122
Build and Deploy / build (push) Successful in 2m37s
Build and Deploy / deploy (push) Has been skipped
fix: 恢复模型原始文件名
2026-07-16 19:55:23 +00:00

211 lines
5.1 KiB
Go

package captcha
import (
"fmt"
"net/http"
"os"
"path/filepath"
"sync"
"anticaptcha/pkg/opencv"
)
type Handler struct {
modelPath string
mu sync.RWMutex
}
// 模型配置:本地文件名 -> 远程文件名
var modelConfigs = map[string]string{
"CRNN_Math.onnx": "[AntiCAP]-CRNN_Math.onnx",
"OCR.onnx": "[Dddd]-OCR.onnx",
"Rotation-RotNetR.onnx": "[AntiCAP]-Rotation-RotNetR.onnx",
"Siamese-ResNet18.onnx": "[AntiCAP]-Siamese-ResNet18.onnx",
"CharSets.txt": "[Dddd]-CharSets.txt",
}
// 从 Gitea 仓库下载(公开仓库,无需认证)
const modelBaseURL = "https://git.viaeon.com/admin/anticaptcha/raw/branch/main/models"
func NewHandler(modelPath string) *Handler {
h := &Handler{
modelPath: modelPath,
}
// 确保模型目录存在并下载缺失的模型
h.ensureModels()
return h
}
// ensureModels 检查并下载缺失的模型
func (h *Handler) ensureModels() {
// 确保目录存在
if err := os.MkdirAll(h.modelPath, 0755); err != nil {
fmt.Printf("警告: 创建模型目录失败: %v\n", err)
return
}
for localName, remoteName := range modelConfigs {
localPath := filepath.Join(h.modelPath, localName)
if _, err := os.Stat(localPath); os.IsNotExist(err) {
fmt.Printf("下载模型: %s -> %s\n", remoteName, localName)
if err := h.downloadModel(remoteName, localPath); err != nil {
fmt.Printf("警告: 下载模型 %s 失败: %v\n", remoteName, err)
} else {
fmt.Printf("模型下载完成: %s\n", localName)
}
}
}
}
// downloadModel 下载模型文件
func (h *Handler) downloadModel(remoteName, localPath string) error {
url := fmt.Sprintf("%s/%s", modelBaseURL, remoteName)
resp, err := http.Get(url)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("HTTP %d", resp.StatusCode)
}
out, err := os.Create(localPath)
if err != nil {
return err
}
defer out.Close()
_, err = out.ReadFrom(resp.Body)
return err
}
// OCR 文字识别(需要 ONNX 模型)
func (h *Handler) OCR(imageBase64 string) (string, error) {
// 暂时返回模拟结果
// 实际实现需要加载 OCR 模型
return "OCR result", nil
}
// Math 数学计算识别
func (h *Handler) Math(imageBase64 string) (string, error) {
// 暂时返回模拟结果
return "0", nil
}
// SliderMatch 滑块缺口匹配
func (h *Handler) SliderMatch(targetBase64, backgroundBase64 string) (int, error) {
target, err := opencv.DecodeFromBase64(targetBase64)
if err != nil {
return 0, err
}
defer target.Free()
background, err := opencv.DecodeFromBase64(backgroundBase64)
if err != nil {
return 0, err
}
defer background.Free()
return opencv.SliderMatch(target, background)
}
// SliderComparison 阴影滑块匹配
func (h *Handler) SliderComparison(targetBase64, backgroundBase64 string) (int, error) {
target, err := opencv.DecodeFromBase64(targetBase64)
if err != nil {
return 0, err
}
defer target.Free()
background, err := opencv.DecodeFromBase64(backgroundBase64)
if err != nil {
return 0, err
}
defer background.Free()
return opencv.SliderComparison(target, background)
}
// CompareSimilarity 图片相似度对比
func (h *Handler) CompareSimilarity(img1Base64, img2Base64 string) (float32, error) {
img1, err := opencv.DecodeFromBase64(img1Base64)
if err != nil {
return 0, err
}
defer img1.Free()
img2, err := opencv.DecodeFromBase64(img2Base64)
if err != nil {
return 0, err
}
defer img2.Free()
return opencv.CompareSimilarity(img1, img2)
}
// SingleRotate 单图旋转验证码
func (h *Handler) SingleRotate(imageBase64 string) (float32, error) {
img, err := opencv.DecodeFromBase64(imageBase64)
if err != nil {
return 0, err
}
defer img.Free()
return opencv.DetectRotation(img)
}
// DoubleRotate 双图旋转验证码
func (h *Handler) DoubleRotate(insideBase64, outsideBase64 string) (float32, error) {
// 简化处理
inside, err := opencv.DecodeFromBase64(insideBase64)
if err != nil {
return 0, err
}
defer inside.Free()
outside, err := opencv.DecodeFromBase64(outsideBase64)
if err != nil {
return 0, err
}
defer outside.Free()
angleInside, err := opencv.DetectRotation(inside)
if err != nil {
return 0, err
}
angleOutside, err := opencv.DetectRotation(outside)
if err != nil {
return 0, err
}
return angleInside - angleOutside, nil
}
// DetectionIcon 图标检测
func (h *Handler) DetectionIcon(imageBase64 string) ([]map[string]int, error) {
// 暂时返回空结果
// 实际需要目标检测模型
return []map[string]int{}, nil
}
// DetectionText 文字检测
func (h *Handler) DetectionText(imageBase64 string) ([]map[string]int, error) {
// 暂时返回空结果
return []map[string]int{}, nil
}
// DetectionIconOrder 按序检测图标
func (h *Handler) DetectionIconOrder(orderImgBase64, targetImgBase64 string) ([]map[string]int, error) {
// 暂时返回空结果
return []map[string]int{}, nil
}
// DetectionTextOrder 按序检测文字
func (h *Handler) DetectionTextOrder(orderImgBase64, targetImgBase64 string) ([]map[string]int, error) {
// 暂时返回空结果
return []map[string]int{}, nil
}