使用Gin框架实现人脸识别和身份验证功能

package main

import (
    "fmt"
    "github.com/gin-gonic/gin"
    "github.com/rakyll/statik/fs"
    "image"
    _ "image/jpeg"
    "io/ioutil"
    "log"
    "net/http"
    _ "strconv"
    _ "strings"
    _ "sync"
    "time"
    "github.com/joho/godotenv"
    "github.com/snowzach/rotate"
    "github.com/hybridgroup/mjpeg"
    _ "github.com/gogo/protobuf/proto"
    _ "github.com/golang/snappy"
    "io"
    "github.com/esimov/caire"
    "github.com/esimov/stackblur-go"
    "github.com/esimov/pigo/core"
)

const (
    connHost = "127.0.0.1"
    connPort = ":8080"
)

type User struct {
    ID   int64  `json:"id"`
    Name string `json:"name"`
    Age  int    `json:"age"`
}

type Users struct {
    Users []User `json:"users"`
}

func main() {
    
    // 加载配置文件
    err := godotenv.Load()
    if err != nil {
        log.Fatal("Error loading .env file")
    }

    router := gin.Default()

    // 上传图片
    router.POST("/upload", func(c *gin.Context) {

        file, header, err := c.Request.FormFile("image")
        if err != nil {
            c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
            return
        }

        // 图像预处理
        img, format, err := image.Decode(file)
        if err != nil {
            c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
            return
        }

        var body io.Reader
        var contentType string
        var contentEncoding string

        // 图像压缩
        if img.Bounds().Dx() > 720 || img.Bounds().Dy() > 720 {
            img = resizeProcess(img, 720)
        }

        buffer := make([]byte, 0, 1024*1024)
        writer := bytes.NewBuffer(buffer)
        var q = jpeg.Options{Quality: 90}

        err = jpeg.Encode(writer, img, &q)
        if err != nil {
            c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
            return
        }

        body = writer
        contentType = http.DetectContentType(buffer)
        contentEncoding = "identity"

        bufSize := uint32(len(buffer))
        if bufSize < 6 || bufSize > core.GetMaxImageBufferSize() {
            c.String(http.StatusBadRequest, fmt.Sprintf("Image size %d is not valid", bufSize))
            return
        }

        // 进行人脸检测和特征提取
        fb := NewFaceboxHandler()
        featureIds, err := fb.indexModule.Index(clientId, buffer)

        if err != nil {
            log.Fatal("Error indexing image: ", err)
        } else {
            fmt.Println("Index featureIds: ", featureIds)
            c.JSON(200, gin.H{"image_id": featureIds})
        }

        // 文件上传和保存操作。。。
        
    })

    router.Run(connHost + connPort)
}