def rot_xml(rot_img_name,xml_tree,cterxy,rot_angle,scale=1.0,correction=True):
'''
旋转xml文件
Args:
xml_tree: 待旋转xml ET.parse()
cterxy: 旋转中心坐标[cter_x,cter_y]
rot_img_name: 旋转后图片保存名字
rot_angle：旋转角度
scale:放缩尺度
correction: bool,修正旋转后的目标框为正常左上右下坐标
return:
createdxml : 创建的xml CreateXML对象
'''
root = xml_tree.getroot()
size = root.find('size')
imgw,imgh,depth = int(size.find('width').text),int(size.find('height').text),int(size.find('depth').text)
createdxml = CreateXML(rot_img_name,imgw,imgh,depth)
for obj in root.iter('object'):
obj_name = obj.find('name').text
xml_box = obj.find('bndbox')
xmin = int(xml_box.find('xmin').text)
ymin = int(xml_box.find('ymin').text)
xmax = int(xml_box.find('xmax').text)
ymax = int(xml_box.find('ymax').text)
#边框坐标[x1,y1,x2,y2,x3,y3,x4,y4]，左上开始，逆时针
box=rot_box([xmin,ymin,xmax,ymax],cterxy,[imgw,imgh],rot_angle,scale,correction)
rxmin,rymin,rxmax,rymax = utils.confine(box[0],0,imgw-1),utils.confine(box[1],0,imgh-1),utils.confine(box[4],0,imgw-1),utils.confine(box[5],0,imgh-1)
if (rxmin >= rxmax) or (rymin >= rymax):
continue
createdxml.add_object_node(obj_name,box[0],box[1],box[4],box[5])
return createdxml
def rot_box(box,cterxy,imgwh,rot_angle,scale=1.0,correction=True):
'''
Args:
box:边框坐标[xmin,ymin,xmax,ymax]
cterxy:旋转中心点坐标 [cter_x,cter_y]
imgwh:图片宽高[w,h]
rot_angle:旋转角
scale:放缩尺度
correction: bool,修正旋转后的目标框为正常左上右下坐标
return:
box:边框坐标[x1,y1,x2,y2,x3,y3,x4,y4]，左上开始，逆时针
'''
result_box = []
xmin,ymin,xmax,ymax = box[0],box[1],box[2],box[3]
complete_coords = [xmin,ymin,xmin,ymax,xmax,ymax,xmax,ymin]
for i in range(int(len(complete_coords)/2)):
rotx,roty = rot_xy(cterxy[0],cterxy[1],complete_coords[2*i],complete_coords[2*i+1],rot_angle,scale)
result_box.append(rotx)
result_box.append(roty)
if correction:
xmin = min(result_box[0:len(result_box):2])
xmax = max(result_box[0:len(result_box):2])
ymin = min(result_box[1:len(result_box):2])
ymax = max(result_box[1:len(result_box):2])
xmin_v = utils.confine(xmin,0,imgwh[0]-1)
ymin_v = utils.confine(ymin,0,imgwh[1]-1)
xmax_v = utils.confine(xmax,0,imgwh[0]-1)
ymax_v = utils.confine(ymax,0,imgwh[1]-1)
#使用阈值剔除边缘截断严重的目标
if utils.calc_iou([xmin,ymin,xmax,ymax],[xmin_v,ymin_v,xmax_v,ymax_v]) < 0.5:
xmin_v,ymin_v,xmax_v,ymin_v=0,0,0,0
return [xmin_v,ymin_v,xmin_v,ymax_v,xmax_v,ymax_v,xmax_v,ymin_v]
else:
return complete_coords
def crop_xy(x, y, top_left_x, top_left_y, crop_w, crop_h):
''' 坐标平移变换
Args:
x,y:待变换坐标
top_left_x,top_left_y:裁剪图像左上角坐标
crop_w,crop_h:裁剪部分图像宽高
return:
crop_x,crop_y
'''
crop_x = int(x - top_left_x)
crop_y = int(y - top_left_y)
crop_x = utils.confine(crop_x, 0, crop_w - 1)
crop_y = utils.confine(crop_y, 0, crop_h - 1)
return crop_x, crop_y
def tile_xy(x, y, top_left_x, top_left_y, tile_w, tile_h):
''' 坐标平移变换
Args:
x,y:待变换坐标
top_left_x,top_left_y:裁剪图像左上角坐标
tile_w,tile_h:裁剪部分图像宽高
return:
tile_x,tile_y
'''
tile_x = int(x - top_left_x)
tile_y = int(y - top_left_y)
tile_x = utils.confine(tile_x, 0, tile_w - 1)
tile_y = utils.confine(tile_y, 0, tile_h - 1)
return tile_x, tile_y
def transform_box(box, transforms):
'''目标框坐标转换
Args:
box:目标框[xmin,ymin,xmax,ymax]
transforms:转换操作[{'opt':'rotate','cterxy':[],'imgwh':[],'rot_angle':0,'randomRotation':False,\
'randomAngleRange':[0,360],'scale':1.0,'correction':True,'bk_imgs_dir':'xxx'},
{'opt':'crop','crop_type':RANDOM_CROP,'dsize':(0,0),'top_left_x':0,'top_left_y':0,'fw':0.5,'fh':0.7,'random_wh':False ,'iou_thr':0.5},
{'opt':'flip','flip_type':-1,'random_flip':True,'imgwh':[]},
{'opt':'resize','fx':0.5,'fy':0.5,'dsize':(0,0),'imgwh':[]}]
return:
transformed_box:转换后目标框坐标[xmin,ymin,xmax,ymax]
'''
transformed_box = box
for operate in transforms:
if [0, 0, 0, 0] == transformed_box:
break
if transformed_box[2] > operate['imgwh'][0] or transformed_box[
3] > operate['imgwh'][1]:
print(operate['opt'])
print(operate['imgwh'])
print(transformed_box)
if 'resize' == operate['opt']:
transformed_box = resize.resize_box(transformed_box, operate['fx'],
operate['fy'])
elif 'rotate' == operate['opt']:
#box,cterxy,imgwh,rot_angle,scale=1.0,correction=True
tmp_box = rotate.rot_box(transformed_box, operate['cterxy'],
operate['imgwh'], operate['rot_angle'],
operate['scale'], operate['correction'])
imgw, imgh = operate['imgwh'][0], operate['imgwh'][1]
transformed_box = [
utils.confine(tmp_box[0], 0, imgw - 1),
utils.confine(tmp_box[1], 0, imgh - 1),
utils.confine(tmp_box[4], 0, imgw - 1),
utils.confine(tmp_box[5], 0, imgh - 1)
]
elif 'crop' == operate['opt']:
transformed_box = crop.crop_box(
transformed_box, operate['top_left_x'], operate['top_left_y'],
operate['crop_w'], operate['crop_h'], operate['iou_thr'])
elif 'flip' == operate['opt']:
transformed_box = flip.flip_box(transformed_box,
operate['imgwh'][0],
operate['imgwh'][1],
operate['flip_type'])
return transformed_box