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@ -1672,10 +1672,17 @@ class Eynollah:
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cx_bigest_d_big, cy_biggest_d_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest_d])
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cx_bigest_d_big, cy_biggest_d_big, _, _, _, _, _ = find_new_features_of_contours([contours_biggest_d])
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cx_bigest_d, cy_biggest_d, _, _, _, _, _ = find_new_features_of_contours(contours_only_text_parent_d)
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cx_bigest_d, cy_biggest_d, _, _, _, _, _ = find_new_features_of_contours(contours_only_text_parent_d)
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try:
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try:
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if len(cx_bigest_d) >= 5:
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cx_bigest_d_last5 = cx_bigest_d[-5:]
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cx_bigest_d_last5 = cx_bigest_d[-5:]
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cy_biggest_d_last5 = cy_biggest_d[-5:]
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cy_biggest_d_last5 = cy_biggest_d[-5:]
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dists_d = [math.sqrt((cx_bigest_big[0] - cx_bigest_d_last5[j]) ** 2 + (cy_biggest_big[0] - cy_biggest_d_last5[j]) ** 2) for j in range(len(cy_biggest_d_last5))]
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dists_d = [math.sqrt((cx_bigest_big[0] - cx_bigest_d_last5[j]) ** 2 + (cy_biggest_big[0] - cy_biggest_d_last5[j]) ** 2) for j in range(len(cy_biggest_d_last5))]
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ind_largest = len(cx_bigest_d) -5 + np.argmin(dists_d)
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ind_largest = len(cx_bigest_d) -5 + np.argmin(dists_d)
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else:
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cx_bigest_d_last5 = cx_bigest_d[-len(cx_bigest_d):]
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cy_biggest_d_last5 = cy_biggest_d[-len(cx_bigest_d):]
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dists_d = [math.sqrt((cx_bigest_big[0]-cx_bigest_d_last5[j])**2 + (cy_biggest_big[0]-cy_biggest_d_last5[j])**2) for j in range(len(cy_biggest_d_last5))]
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ind_largest = len(cx_bigest_d) - len(cx_bigest_d) + np.argmin(dists_d)
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cx_bigest_d_big[0] = cx_bigest_d[ind_largest]
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cx_bigest_d_big[0] = cx_bigest_d[ind_largest]
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cy_biggest_d_big[0] = cy_biggest_d[ind_largest]
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cy_biggest_d_big[0] = cy_biggest_d[ind_largest]
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except Exception as why:
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except Exception as why:
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