Merge remote-tracking branch 'origin/fig-detection-scanned-pdfs' into fig-detection-scanned-pdfs
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commit
98ed9a4220
@ -16,8 +16,8 @@ from cv_analysis.utils.visual_logging import vizlogger
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from cv_analysis.layout_parsing import parse_layout
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def add_external_contours(image, img):
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contours, _ = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
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def add_external_contours(image, contour_source_image):
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contours, _ = cv2.findContours(contour_source_image, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
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contours = filter(partial(is_large_enough, min_area=5000), contours)
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for cnt in contours:
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@ -27,6 +27,16 @@ def add_external_contours(image, img):
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return image
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def extend_lines():
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#TODO
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pass
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def make_table_block_mask():
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#TODO
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pass
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def apply_motion_blur(image: np.array, angle, size=80):
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"""Solidifies and slightly extends detected lines.
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@ -68,8 +78,9 @@ def isolate_vertical_and_horizontal_components(img_bin):
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img_bin_h = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_h)
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vizlogger.debug(img_bin_h, "tables01_isolate01_img_bin_h.png")
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img_bin_v = cv2.morphologyEx(img_bin, cv2.MORPH_OPEN, kernel_v)
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vizlogger.debug(img_bin_v | img_bin_h, "tables02_isolate02_img_bin_v.png")
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img_lines_raw = img_bin_v | img_bin_h
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vizlogger.debug(img_lines_raw, "tables02_isolate02_img_bin_v.png")
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kernel_h = np.ones((1, 30), np.uint8)
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kernel_v = np.ones((30, 1), np.uint8)
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img_bin_h = cv2.dilate(img_bin_h, kernel_h, iterations=2)
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@ -89,17 +100,14 @@ def isolate_vertical_and_horizontal_components(img_bin):
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vizlogger.debug(img_bin_final, "tables10_isolate12_threshold.png")
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img_bin_final = cv2.dilate(img_bin_final, np.ones((1, 1), np.uint8), iterations=1)
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vizlogger.debug(img_bin_final, "tables11_isolate13_dilate.png")
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# add contours before lines are extended by blurring
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img_bin_final = add_external_contours(img_bin_final, img_lines_raw)
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vizlogger.debug(img_bin_final, "tables11_isolate14_contours_added.png")
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return img_bin_final
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def disconnect_non_existing_cells(img_bin, bounding_rects):
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for rect in bounding_rects:
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x, y, w, h = rect
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img_bin = cv2.rectangle(img_bin, (x, y), (x + w, y + h), (0, 0, 0), 5)
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return img_bin
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def has_table_shape(rects):
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assert isinstance(rects, list)
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@ -158,10 +166,8 @@ def parse_table(image: np.array, show=False):
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table_layout_boxes = find_table_layout_boxes(image)
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image = isolate_vertical_and_horizontal_components(image)
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image = disconnect_non_existing_cells(image, table_layout_boxes)
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vizlogger.debug(image, "tables12_isolate14_disconnect.png")
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image = add_external_contours(image, image)
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vizlogger.debug(image, "external_contours_added.png")
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#image = add_external_contours(image, image)
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#vizlogger.debug(image, "external_contours_added.png")
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_, _, stats, _ = cv2.connectedComponentsWithStats(~image, connectivity=8, ltype=cv2.CV_32S)
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