Delete HandwritingOCR/testParser.py

HandwritingOCR/testParser.py

@@ -1,45 +0,0 @@
-import layoutparser as lp
-import cv2
-import matplotlib.pyplot as plt
-
-
-image = cv2.imread("Projects/HandwritingOCR/captured_images/pasted_image.jpg")
-#image = image[..., ::-1]
-
-model = lp.Detectron2LayoutModel(
-    "lp://PubLayNet/faster_rcnn_R_50_FPN_3x/config", 
-    extra_config=["MODEL.ROI_HEADS.SCORE_THRESH_TEST", 0.8],
-    label_map={0: "Text", 1: "Title", 2: "List", 3:"Table", 4:"Figure"},
-)
-
-
-# Phát hiện bố cục trên ảnh đã được cải thiện độ phân giải
-layout = model.detect(image)
-
-# Vẽ các hộp phát hiện lên ảnh
-lp.draw_box(image, layout, box_width=3)
-
-print(type(layout))
-print(layout[0])
-text_blocks = lp.Layout([b for b in layout if b.type=='Text'])
-figure_blocks = lp.Layout([b for b in layout if b.type=='Figure'])
-
-text_blocks = lp.Layout([b for b in text_blocks \
-                   if not any(b.is_in(b_fig) for b_fig in figure_blocks)])
-h, w = image.shape[:2]
-
-left_interval = lp.Interval(0, w/2*1.05, axis='x').put_on_canvas(image)
-
-left_blocks = text_blocks.filter_by(left_interval, center=True)
-left_blocks.sort(key = lambda b:b.coordinates[1])
-
-right_blocks = [b for b in text_blocks if b not in left_blocks]
-right_blocks.sort(key = lambda b:b.coordinates[1])
-
-# And finally combine the two list and add the index
-# according to the order
-text_blocks = lp.Layout([b.set(id = idx) for idx, b in enumerate(left_blocks + right_blocks)])
-
-lp.draw_box(image, text_blocks,
-            box_width=3,
-            show_element_id=True)