show img ok

jp_ocr.py

@@ -5,15 +5,82 @@
 # 第一次 aliocr 识别中文   main.py
 # 第二次用 ppocr 识别日文  jp_ocr.py
 
+import json, cv2
+
+def save_json(filename, dics):
+    with open(filename, 'w', encoding='utf-8') as fp:
+        json.dump(dics, fp, indent=4, ensure_ascii=False)
+        fp.close()
+
+def load_json(filename):
+    with open(filename, encoding='utf-8') as fp:
+        js = json.load(fp)
+        fp.close()
+        return js
 
 
 if __name__ == '__main__':
 
     import glob
+    import numpy as np
     from pathlib import Path
     pth_jsons = glob.glob('pdfs/jp/李致雨N3词汇详解/*.json', recursive=True)
     pth_zh_jsons = [ str( Path(pth).resolve() ) for pth in pth_jsons if '_jp' not in pth ]
 
+    array = []
+    for idx, pth in enumerate(pth_zh_jsons):
+        js = load_json(pth)
+        array.append( { "pth":pth, "js":js, "idx":idx } )
+        break
+
+    for item in array:
+        pth = item['pth']
+        pth_img = pth.replace('.json', '.jpg')
+        jsn = item['js']
+        imgData = np.fromfile(pth_img, dtype=np.uint8)
+        img_color = cv2.imdecode(imgData, -1)
+        if 'prism_wordsInfo' in jsn:
+            wordsInfo = jsn['prism_wordsInfo']
+        else:
+            wordsInfo = []
+        for j in range(len(wordsInfo)):
+            jo = wordsInfo[j]
+            word = jo["word"]
+
+            # prism-wordsInfo 里的 angle 文字块的角度，这个角度只影响width和height，当角度为-90、90、-270、270，width和height的值需要自行互换
+            angle = jo['angle']
+
+            word_x = jo['x']
+            word_y = jo['y']
+            word_width = jo['width']
+            word_height = jo['height']
+
+            if abs(angle) == 90 or abs(angle) == 270:
+                word_width = jo['height']
+                word_height = jo['width']
+
+            pos = jo['pos']
+
+            # 四个角的位置 左上、右上、右下、左下  顺时针方向
+            lu = [pos[0]['x'], pos[0]['y']] 
+            ru = [pos[1]['x'], pos[1]['y']]
+            rd = [pos[2]['x'], pos[2]['y']]
+            ld = [pos[3]['x'], pos[3]['y']]
+
+
+            x1 = min( pos[0]['x'], pos[3]['x'] )   # 当前行的极左
+            x2 = max( pos[1]['x'], pos[2]['x'] )   # 当前行的极右
+
+            y1 = min( pos[0]['y'], pos[1]['y'] )   # 当前行的极上
+            y2 = max( pos[2]['y'], pos[3]['y'] )   # 当前行的极下
+
+            # img_color = cv2.rectangle(img_color, (x1, y1), (x2, y2), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角
+            img_color = cv2.rectangle(img_color, (lu[0], lu[1]), (rd[0], rd[1]), (0, 255, 0), 2)  # 矩形的左上角, 矩形的右下角
+
+            cv2.imshow("green", img_color)
+            cv2.waitKey(0)
+
+
     pass