提交 4369552e 编写于 作者: 文幕地方's avatar 文幕地方

add in and out box_format

上级 a8efe28f
......@@ -86,7 +86,8 @@ Train:
loc_reg_num: *loc_reg_num
max_text_length: *max_text_length
- TableBoxEncode:
box_format: *box_format
in_box_format: *box_format
out_box_format: *box_format
- ResizeTableImage:
max_len: 488
- NormalizeImage:
......@@ -121,7 +122,8 @@ Eval:
loc_reg_num: *loc_reg_num
max_text_length: *max_text_length
- TableBoxEncode:
box_format: *box_format
in_box_format: *box_format
out_box_format: *box_format
- ResizeTableImage:
max_len: 488
- NormalizeImage:
......
......@@ -90,7 +90,8 @@ Train:
- PaddingTableImage:
size: [480, 480]
- TableBoxEncode:
box_format: *box_format
in_box_format: *box_format
out_box_format: *box_format
- NormalizeImage:
scale: 1./255.
mean: [0.5, 0.5, 0.5]
......@@ -126,7 +127,8 @@ Eval:
- PaddingTableImage:
size: [480, 480]
- TableBoxEncode:
box_format: *box_format
in_box_format: *box_format
out_box_format: *box_format
- NormalizeImage:
scale: 1./255.
mean: [0.5, 0.5, 0.5]
......
......@@ -749,28 +749,35 @@ class TableMasterLabelEncode(TableLabelEncode):
class TableBoxEncode(object):
def __init__(self, box_format='xyxy', **kwargs):
def __init__(self, in_box_format='xyxy', out_box_format='xyxy', **kwargs):
assert box_format in ['xywh', 'xyxy', 'xyxyxyxy']
self.box_format = box_format
self.in_box_format = in_box_format
self.out_box_format = out_box_format
def __call__(self, data):
img_height, img_width = data['image'].shape[:2]
bboxes = data['bboxes']
if self.box_format == 'xywh' and bboxes.shape[1] == 4:
if self.in_box_format != self.out_box_format:
if self.out_box_format == 'xywh':
if self.in_box_format == 'xyxyxyxy':
bboxes = self.xyxyxyxy2xywh(bboxes)
elif self.in_box_format == 'xyxy':
bboxes = self.xyxy2xywh(bboxes)
bboxes[:, 0::2] /= img_width
bboxes[:, 1::2] /= img_height
data['bboxes'] = bboxes
return data
def xyxyxyxy2xywh(self, boxes):
new_bboxes = np.zeros([len(bboxes), 4])
new_bboxes[:, 0] = bboxes[:, 0::2].min() # x1
new_bboxes[:, 1] = bboxes[:, 1::2].min() # y1
new_bboxes[:, 2] = bboxes[:, 0::2].max() - new_bboxes[:, 0] # w
new_bboxes[:, 3] = bboxes[:, 1::2].max() - new_bboxes[:, 1] # h
return new_bboxes
def xyxy2xywh(self, bboxes):
"""
Convert coord (x1,y1,x2,y2) to (x,y,w,h).
where (x1,y1) is top-left, (x2,y2) is bottom-right.
(x,y) is bbox center and (w,h) is width and height.
:param bboxes: (x1, y1, x2, y2)
:return:
"""
new_bboxes = np.empty_like(bboxes)
new_bboxes[:, 0] = (bboxes[:, 0] + bboxes[:, 2]) / 2 # x center
new_bboxes[:, 1] = (bboxes[:, 1] + bboxes[:, 3]) / 2 # y center
......
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