close unused gocv.Mat

deploy/paddleocr-go/ocr/core.go

@@ -149,6 +149,7 @@ func (sys *TextPredictSystem) getRotateCropImage(img gocv.Mat, box [][]int) gocv
 
 func (sys *TextPredictSystem) Run(img gocv.Mat) []OCRText {
 	srcimg := gocv.NewMat()
+	defer srcimg.Close()
 	img.CopyTo(&srcimg)
 	boxes := sys.detector.Run(img)
 	if len(boxes) == 0 {
@@ -224,6 +225,7 @@ func (ocr *OCRSystem) predictHandler(w http.ResponseWriter, r *http.Request) {
 
 	io.Copy(&buf, file)
 	img, err2 := gocv.IMDecode(buf.Bytes(), gocv.IMReadColor)
+	defer img.Close()
 	if err2 != nil {
 		w.Write([]byte(err2.Error()))
 		return
@@ -252,6 +254,7 @@ func (ocr *OCRSystem) PredictDirImages(dirname string) map[string][]OCRText {
 	for i := 0; i < len(imgs); i++ {
 		imgname := imgs[i]
 		img := ReadImage(imgname)
+		defer img.Close()
 		res := ocr.PredictOneImage(img)
 		results[imgname] = res
 	}

deploy/paddleocr-go/ocr/ocr_rec.go

@@ -24,7 +24,8 @@ func NewTextRecognizer(modelDir string, args map[string]interface{}) *TextRecogn
 			shapes[i] = s.(int)
 		}
 	}
-	labelpath := getString(args, "rec_char_dict_path", "./config/ppocr_keys_v1.txt")
+	home, _ := os.UserHomeDir()
+	labelpath := getString(args, "rec_char_dict_path", home+"/.paddleocr/rec/ppocr_keys_v1.txt")
 	labels := readLines2StringSlice(labelpath)
 	if getBool(args, "use_space_char", true) {
 		labels = append(labels, " ")
@@ -38,7 +39,6 @@ func NewTextRecognizer(modelDir string, args map[string]interface{}) *TextRecogn
 		labels:      labels,
 	}
 	if checkModelExists(modelDir) {
-		home, _ := os.UserHomeDir()
 		modelDir, _ = downloadModel(home+"/.paddleocr/rec/ch", modelDir)
 	} else {
 		log.Panicf("rec model path: %v not exist! Please check!", modelDir)
@@ -75,6 +75,7 @@ func (rec *TextRecognizer) Run(imgs []gocv.Mat, bboxes [][][]int) []OCRText {
 		for k := i; k < j; k++ {
 			data := crnnPreprocess(imgs[k], rec.shape, []float32{0.5, 0.5, 0.5},
 				[]float32{0.5, 0.5, 0.5}, 255.0, maxwhratio, rec.charType)
+			defer imgs[k].Close()
 			copy(normimgs[(k-i)*c*h*w:], data)
 		}
 

deploy/paddleocr-go/ocr/postprocess.go

@@ -92,6 +92,7 @@ func (d *DBPostProcess) boxScoreFast(array [][]float32, pred gocv.Mat) float64 {
 	ymax := clip(int(math.Ceil(float64(maxf(boxY)))), 0, height-1)
 
 	mask := gocv.NewMatWithSize(ymax-ymin+1, xmax-xmin+1, gocv.MatTypeCV8UC1)
+	defer mask.Close()
 	ppt := make([][]image.Point, 1)
 	ppt[0] = make([]image.Point, 4)
 	ppt[0][0] = image.Point{int(array[0][0]) - xmin, int(array[0][1]) - ymin}

deploy/paddleocr-go/ocr/preprocess.go

@@ -59,7 +59,6 @@ func resizeByMaxLen(img gocv.Mat, maxLen int) (gocv.Mat, int, int) {
 func normPermute(img gocv.Mat, mean []float32, std []float32, scaleFactor float32) []float32 {
 	img.ConvertTo(&img, gocv.MatTypeCV32F)
 	img.DivideFloat(scaleFactor)
-	defer img.Close()
 
 	c := gocv.Split(img)
 	data := make([]float32, img.Rows()*img.Cols()*img.Channels())
@@ -154,7 +153,6 @@ func crnnPreprocess(img gocv.Mat, resizeShape []int, mean []float32, std []float
 	img.DivideFloat(scaleFactor)
 	img.SubtractScalar(gocv.NewScalar(float64(mean[0]), float64(mean[1]), float64(mean[2]), 0))
 	img.DivideScalar(gocv.NewScalar(float64(std[0]), float64(std[1]), float64(std[2]), 0))
-	defer img.Close()
 
 	if resizeW < imgW {
 		gocv.CopyMakeBorder(img, &img, 0, 0, 0, imgW-resizeW, gocv.BorderConstant, color.RGBA{0, 0, 0, 0})