矫正扭曲和图片方向分类接口化
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@@ -182,15 +182,11 @@ def information_extraction(ie, phrecs, identity):
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result = merge_result(result, ie_result['result'])
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else:
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target_images = []
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target_images += model_util.request_book_areas(img_path) # 识别文档区域并裁剪
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if not target_images:
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target_images.append(image) # 识别失败
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target_images = model_util.request_book_areas(img_path) # 识别文档区域并裁剪
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angle_count = defaultdict(int, {'0': 0}) # 分割后图片的最优角度统计
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for target_image in target_images:
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# dewarped_image = dewarp.dewarp_image(target_image) # 去扭曲
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dewarped_image = target_image
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angles = image_util.parse_rotation_angles(dewarped_image)
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dewarped_image = model_util.request_dewarped_image(target_image) # 去扭曲
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angles = model_util.request_image_orientation(dewarped_image)
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split_results = image_util.split(dewarped_image)
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for split_result in split_results:
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