def show_data_in_dir(imgs_dir,xmls_dir,windowname='ORG',class_color={},showname=True,maxcls=20,delete=False):
'''显示图片和标注框
Args:
imgs_dir:图片目录
xmls_dir:标注文件xml目录，voc格式
windowname：显示窗口名
class_color：类别显示颜色的BGR值
showname:是否显示类别名
maxcls:最大类别
delete:是否删除没有图片的xml文件
'''
xml_count,img_count = utils.fileCountIn(xmls_dir),utils.fileCountIn(imgs_dir)
print('------show object boxes based on xml files (xml:%d,image:%d)------'%(xml_count,img_count))
count = 0
cv2.namedWindow(windowname,cv2.WINDOW_NORMAL)
wait_sec = 0
for root,dirs,files in os.walk(xmls_dir):
idx = 0
while idx < len(files):
file = files[idx]
count += 1
if count%100 == 0:
print('[%d | %d]%d%%'%(xml_count,count,count*100/xml_count))
xml_file = os.path.join(xmls_dir,file)
tree = ET.parse(xml_file)
xml_root = tree.getroot()
img_name = xml_root.find('filename').text
img_file = os.path.join(imgs_dir,img_name)
if not os.path.exists(img_file):
print('%s not exist!'%img_file)
if delete:
os.remove(xml_file)
print(xml_file,'has been removed!')
idx += 1
continue
print(img_name)
key = show_data(img_file,xml_file,windowname,class_color,showname,maxcls,wait_sec)
if(32==key):
wait_sec = 1-wait_sec
elif(key==ord('q') or key==ord('Q') ):
return 0
elif(key==2424832 or key==2490368 or key == ord('p')):
#左、上方向键或p查看上一张图片
idx -= 1
else:
idx += 1
cv2.destroyAllWindows()
return 0
def transform_file_from_dirs(imgs_xmls_dirs,imgs_save_dir,xmls_save_dir,transforms,N=1):
'''对文件夹中所有图片进行转换，并生成转换后的图片和xml文件
Args:
imgs_xmls_dirs:待转换的图片、xml、背景图片目录
imgs_save_dir：图片文件保存目录
xmls_save_dir：xml文件保存目录
transforms：转换操作
N:每张原图生成N张转换图
'''
for i in range(len(imgs_xmls_dirs)):
imgs_dir = imgs_xmls_dirs[i]['imgs_dir']
xmls_dir = imgs_xmls_dirs[i]['xmls_dir']
bk_imgs_dir = imgs_xmls_dirs[i]['bk_imgs_dir']
for trans in transforms:
if trans['opt'] == 'rotate':
trans['bk_imgs_dir'] = bk_imgs_dir
fileCount = utils.fileCountIn(imgs_dir)
count = 0
for root,dirs,files in os.walk(imgs_dir):
for imgname in files:
src_imgpath = os.path.join(imgs_dir,imgname)
src_xmlpath = os.path.join(xmls_dir,imgname.split('.')[0]+'.xml')
count += 1
if count%10 == 0:
print('[%d | %d]%d%%'%(fileCount,count,count*100/fileCount))
if not os.path.exists(src_xmlpath):
print(src_xmlpath,' not exist!')
continue
transform_onefile(src_imgpath,src_xmlpath,imgs_save_dir,xmls_save_dir,transforms,N)
def crop_imgs_without_label(imgs_dir,imgs_save_dir,name_suffix,crop_type='RANDOM_CROP',\
crop_n=1,dsize=(0,0),fw=1.0,fh=1.0,random_wh=False):
'''仅裁剪图片，不带标签
Args：
imgs_dir: 待放缩图片、原始xml文件存储路径
imgs_save_dir: 处理完成的图片、xml文件存储路径
name_suffix: 处理完成的图片、xml的命名标识
crop_type:裁剪风格 ['RANDOM_CROP','CENTER_CROP','FIVE_CROP']
crop_n: 每原图生成裁剪图个数
dsize:指定crop宽高（w,h），与random_wh==True互斥生效
fw,fh: 当random_wh==False时为crop比例，否则为随机crop的宽高比例下限
random_wh：随机选定裁剪宽高
'''
imgcount = utils.fileCountIn(imgs_dir)
count = 0
for root, dirs, files in os.walk(imgs_dir):
for file in files:
img_file = os.path.join(imgs_dir, file)
img = cv2.imread(img_file)
imgh, imgw, n_channels = img.shape
if crop_type == 'CENTER_CROP':
crop_n = 1
elif crop_type == 'FIVE_CROP':
crop_n = 5
for i in range(crop_n):
crop_imgw, crop_imgh = dsize
if dsize == (0, 0) and not random_wh:
crop_imgw = int(imgw * fw)
crop_imgh = int(imgh * fh)
elif random_wh:
crop_imgw = int(imgw * (fw + random.random() * (1 - fw)))
crop_imgh = int(imgh * (fh + random.random() * (1 - fh)))
if crop_type == 'RANDOM_CROP':
crop_top_left_x, crop_top_left_y = random.randint(
0, imgw - crop_imgw - 1), random.randint(
0, imgh - crop_imgh - 1)
elif crop_type == 'CENTER_CROP':
crop_top_left_x, crop_top_left_y = int(
imgw / 2 - crop_imgw / 2), int(imgh / 2 -
crop_imgh / 2)
elif crop_type == 'FIVE_CROP':
if i == 0:
crop_top_left_x, crop_top_left_y = 0, 0
elif i == 1:
crop_top_left_x, crop_top_left_y = imgw - crop_imgw - 1, 0
elif i == 2:
crop_top_left_x, crop_top_left_y = 0, imgh - crop_imgh - 1
elif i == 3:
crop_top_left_x, crop_top_left_y = imgw - crop_imgw - 1, imgh - crop_imgh - 1
else:
crop_top_left_x, crop_top_left_y = int(
imgw / 2 - crop_imgw / 2), int(imgh / 2 -
crop_imgh / 2)
else:
print(
'crop type wrong! expect [RANDOM_CROP,CENTER_CROP,FIVE_CROP]'
)
croped_img_name = file.split('.')[0]+'_'+name_suffix +\
str(crop_top_left_x)+'_'+str(crop_top_left_y)+\
'_wh'+str(crop_imgw)+'x'+str(crop_imgh)+\
'.jpg'
croped_img = crop_img(img, crop_top_left_x, crop_top_left_y,
crop_imgw, crop_imgh)
cv2.imwrite(os.path.join(imgs_save_dir, croped_img_name),
croped_img)
count += 1
if count % 10 == 0:
print('[%d|%d] %d%%' %
(count, imgcount, count * 100 / imgcount))