Golang は画像サムネイル生成と顔検出メソッドを実装します

package main import ( "fmt" "image" "image/jpeg" "log" "os" "github.com/nfnt/resize" ) func main() { inFile, err := os.Open("input.jpg") if err != nil { log.Fatal(err) } defer inFile.Close() // Decode the image srcImg, _, err := image.Decode(inFile) if err != nil { log.Fatal(err) } // Resize the image thumbnail := resize.Resize(200, 0, srcImg, resize.Lanczos3) // Create a new file for the thumbnail outFile, err := os.Create("thumbnail.jpg") if err != nil { log.Fatal(err) } defer outFile.Close() // Encode the thumbnail to JPEG format err = jpeg.Encode(outFile, thumbnail, &jpeg.Options{jpeg.DefaultQuality}) if err != nil { log.Fatal(err) } fmt.Println("Thumbnail generated successfully!") }

package main import ( "fmt" "image" "image/jpeg" "log" "os" "github.com/esimov/stackblur-go" "github.com/Kagami/go-face" ) func main() { // Load the face detection model model, err := face.NewRecognizer("models") if err != nil { log.Fatal(err) } defer model.Close() // Open the thumbnail image file inFile, err := os.Open("thumbnail.jpg") if err != nil { log.Fatal(err) } defer inFile.Close() // Decode the thumbnail image srcImg, _, err := image.Decode(inFile) if err != nil { log.Fatal(err) } // Blur the image for better face detection results stackblur.Process(srcImg, uint32(srcImg.Bounds().Dx()), uint32(srcImg.Bounds().Dy()), 20) // Convert the image to grayscale grayImg, err := face.ConvertImageToGray(srcImg) if err != nil { log.Fatal(err) } // Detect faces in the image faces, err := model.Recognize(grayImg, 1.5, 3) if err != nil { log.Fatal(err) } fmt.Printf("Detected %d face(s) in the thumbnail ", len(faces)) // Draw rectangles around the detected faces for _, f := range faces { x, y, w, h := f.Rectangle() faceImg := face.Crop(grayImg, face.Rect(x, y, x+w, y+h)) outFile, err := os.Create("face.jpg") if err != nil { log.Fatal(err) } defer outFile.Close() // Encode the face image to JPEG format err = jpeg.Encode(outFile, faceImg, &jpeg.Options{jpeg.DefaultQuality}) if err != nil { log.Fatal(err) } fmt.Printf("Face detected at coordinates (%d,%d,%d,%d) ", x, y, w, h) } }