Merge pull request #277 from tink2123/fix_resize_shape

fix resize shape
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xiaoting 2020-06-30 15:30:50 +08:00 committed by GitHub
commit e458c2c7a2
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2 changed files with 7 additions and 5 deletions

View File

@ -97,10 +97,11 @@ def process_image(img,
max_text_length=None,
tps=None,
infer_mode=False):
if not infer_mode or char_ops.character_type == "en" or tps != None:
norm_img = resize_norm_img(img, image_shape)
else:
if infer_mode and char_ops.character_type == "ch" and not tps:
norm_img = resize_norm_img_chinese(img, image_shape)
else:
norm_img = resize_norm_img(img, image_shape)
norm_img = norm_img[np.newaxis, :]
if label is not None:
# char_num = char_ops.get_char_num()
@ -109,7 +110,8 @@ def process_image(img,
logger.info(
"Warning in ppocr/data/rec/img_tools.py:line106: Wrong data type."
"Excepted string with length between 1 and {}, but "
"got '{}'. Label is '{}'".format(max_text_length, len(text),label))
"got '{}'. Label is '{}'".format(max_text_length,
len(text), label))
return None
else:
if loss_type == "ctc":

View File

@ -53,7 +53,7 @@ class TextRecognizer(object):
imgC, imgH, imgW = self.rec_image_shape
assert imgC == img.shape[2]
if self.character_type == "ch":
imgW = int(math.ceil(32 * max_wh_ratio))
imgW = int((32 * max_wh_ratio))
h, w = img.shape[:2]
ratio = w / float(h)
if math.ceil(imgH * ratio) > imgW: