fix ocr pipe (#3595)

paddlex/inference/models/text_recognition/processors.py

@@ -37,20 +37,25 @@ class OCRReisizeNormImg:
     def __init__(self, rec_image_shape=[3, 48, 320]):
         super().__init__()
         self.rec_image_shape = rec_image_shape
+        self.max_imgW = 3200
 
     def resize_norm_img(self, img, max_wh_ratio):
         """resize and normalize the img"""
         imgC, imgH, imgW = self.rec_image_shape
         assert imgC == img.shape[2]
         imgW = int((imgH * max_wh_ratio))
-
-        h, w = img.shape[:2]
-        ratio = w / float(h)
-        if math.ceil(imgH * ratio) > imgW:
-            resized_w = imgW
+        if imgW > self.max_imgW:
+            resized_image = cv2.resize(img, (self.max_imgW, imgH))
+            resized_w = self.max_imgW
+            imgW = self.max_imgW
         else:
-            resized_w = int(math.ceil(imgH * ratio))
-        resized_image = cv2.resize(img, (resized_w, imgH))
+            h, w = img.shape[:2]
+            ratio = w / float(h)
+            if math.ceil(imgH * ratio) > imgW:
+                resized_w = imgW
+            else:
+                resized_w = int(math.ceil(imgH * ratio))
+            resized_image = cv2.resize(img, (resized_w, imgH))
         resized_image = resized_image.astype("float32")
         resized_image = resized_image.transpose((2, 0, 1)) / 255
         resized_image -= 0.5