add refer to east and sast preprocess

pull/4545/head
LDOUBLEV 2021-11-04 16:15:12 +08:00
parent 9b9b2d60cf
commit 0c8acf9099
2 changed files with 14 additions and 14 deletions

View File

@ -11,7 +11,10 @@
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
"""
This code is refer from:
https://github.com/songdejia/EAST/blob/master/data_utils.py
"""
import math
import cv2
import numpy as np
@ -24,10 +27,10 @@ __all__ = ['EASTProcessTrain']
class EASTProcessTrain(object):
def __init__(self,
image_shape = [512, 512],
background_ratio = 0.125,
min_crop_side_ratio = 0.1,
min_text_size = 10,
image_shape=[512, 512],
background_ratio=0.125,
min_crop_side_ratio=0.1,
min_text_size=10,
**kwargs):
self.input_size = image_shape[1]
self.random_scale = np.array([0.5, 1, 2.0, 3.0])
@ -282,12 +285,7 @@ class EASTProcessTrain(object):
1.0 / max(min(poly_h, poly_w), 1.0)
return score_map, geo_map, training_mask
def crop_area(self,
im,
polys,
tags,
crop_background=False,
max_tries=50):
def crop_area(self, im, polys, tags, crop_background=False, max_tries=50):
"""
make random crop from the input image
:param im:
@ -435,5 +433,4 @@ class EASTProcessTrain(object):
data['score_map'] = score_map
data['geo_map'] = geo_map
data['training_mask'] = training_mask
# print(im.shape, score_map.shape, geo_map.shape, training_mask.shape)
return data
return data

View File

@ -11,7 +11,10 @@
#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#See the License for the specific language governing permissions and
#limitations under the License.
"""
This part code is refer from:
https://github.com/songdejia/EAST/blob/master/data_utils.py
"""
import math
import cv2
import numpy as np