Merge pull request #277 from tink2123/fix_resize_shape
fix resize shape
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commit
e458c2c7a2
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@ -97,10 +97,11 @@ def process_image(img,
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max_text_length=None,
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tps=None,
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infer_mode=False):
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if not infer_mode or char_ops.character_type == "en" or tps != None:
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norm_img = resize_norm_img(img, image_shape)
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else:
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if infer_mode and char_ops.character_type == "ch" and not tps:
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norm_img = resize_norm_img_chinese(img, image_shape)
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else:
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norm_img = resize_norm_img(img, image_shape)
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norm_img = norm_img[np.newaxis, :]
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if label is not None:
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# char_num = char_ops.get_char_num()
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@ -109,7 +110,8 @@ def process_image(img,
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logger.info(
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"Warning in ppocr/data/rec/img_tools.py:line106: Wrong data type."
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"Excepted string with length between 1 and {}, but "
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"got '{}'. Label is '{}'".format(max_text_length, len(text),label))
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"got '{}'. Label is '{}'".format(max_text_length,
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len(text), label))
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return None
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else:
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if loss_type == "ctc":
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@ -53,7 +53,7 @@ class TextRecognizer(object):
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imgC, imgH, imgW = self.rec_image_shape
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assert imgC == img.shape[2]
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if self.character_type == "ch":
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imgW = int(math.ceil(32 * max_wh_ratio))
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imgW = int((32 * max_wh_ratio))
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h, w = img.shape[:2]
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ratio = w / float(h)
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if math.ceil(imgH * ratio) > imgW:
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