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crop.py
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# -*- coding: utf-8 -*-
"""
Created on Sat Sep 8 09:25:17 2018
裁剪
@author: zxl
"""
import cv2
import os
import random
import voc_xml
import utils
from voc_xml import CreateXML
def crop_img(src,top_left_x,top_left_y,crop_w,crop_h):
'''裁剪图像
Args:
src: 源图像
top_left,top_right:裁剪图像左上角坐标
crop_w,crop_h：裁剪图像宽高
return：
crop_img:裁剪后的图像
None:裁剪尺寸错误
'''
rows,cols,n_channel = src.shape
row_min,col_min = int(top_left_y), int(top_left_x)
row_max,col_max = int(row_min + crop_h), int(col_min + crop_w)
if row_max > rows or col_max > cols:
print("crop size err: src->%dx%d,crop->top_left(%d,%d) %dx%d"%(cols,rows,col_min,row_min,int(crop_w),int(crop_h)))
return None
crop_img = src[row_min:row_max,col_min:col_max]
return crop_img
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 crop_box(box,top_left_x,top_left_y,crop_w,crop_h,iou_thr=0.5):
'''目标框坐标平移变换
Args:
box:目标框坐标[xmin,ymin,xmax,ymax]
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
iou_thr: iou阈值,去除裁剪后过小目标
return:
crop_box:平移变换结果[xmin,ymin,xmax,ymax]
'''
xmin,ymin = crop_xy(box[0],box[1],top_left_x,top_left_y,crop_w,crop_h)
xmax,ymax = crop_xy(box[2],box[3],top_left_x,top_left_y,crop_w,crop_h)
croped_box = [xmin,ymin,xmax,ymax]
if utils.calc_iou([0,0,box[2]-box[0],box[3]-box[1]],[0,0,xmax-xmin,ymax-ymin]) < iou_thr:
croped_box = [0,0,0,0]
return croped_box
def crop_xml(crop_img_name,xml_tree,top_left_x,top_left_y,crop_w,crop_h,iou_thr=0.5):
'''xml目标框裁剪变换
Args:
crop_img_name:裁剪图片命名
xml_tree：待crop的xml ET.parse()
top_left_x,top_left_y: 裁剪图像左上角坐标
crop_w,crop_h: 裁剪图像宽高
iou_thr: iou阈值
return:
createdxml : 创建的xml CreateXML对象
'''
root = xml_tree.getroot()
size = root.find('size')
depth = int(size.find('depth').text)
createdxml = CreateXML(crop_img_name,int(crop_w),int(crop_h),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)
box = crop_box([xmin,ymin,xmax,ymax],top_left_x,top_left_y,crop_w,crop_h,iou_thr)
if (box[0] >= box[2]) or (box[1] >= box[3]):
continue
createdxml.add_object_node(obj_name,box[0],box[1],box[2],box[3])
return createdxml
def crop_img_xml(img,xml_tree,crop_img_name,top_left_x,top_left_y,crop_w,crop_h,iou_thr):
'''裁剪图像和xml目标框
Args:
img：源图像
crop_img_name:裁剪图片命名
xml_tree：待crop的xml ET.parse()
top_left_x,top_left_y: 裁剪图像左上角坐标
crop_w,crop_h: 裁剪图像宽高
iou_thr: iou阈值
return:
croped_img,croped_xml : 裁剪完成的图像和xml文件
None:裁剪尺寸错误
'''
croped_img = crop_img(img,top_left_x,top_left_y,crop_w,crop_h)
if croped_img is None:
return None
croped_xml = crop_xml(crop_img_name,xml_tree,top_left_x,top_left_y,crop_w,crop_h,iou_thr)
return croped_img,croped_xml
def crop_img_xml_from_dir(imgs_dir,xmls_dir,imgs_save_dir,xmls_save_dir,img_suffix,name_suffix,\
crop_type='RANDOM_CROP',crop_n=1,dsize=(0,0),fw=1.0,fh=1.0,random_wh=False,iou_thr=0.5):
'''随机裁剪指定路径下的图片和xml
Args:
imgs_dir,xmls_dir: 待放缩图片、原始xml文件存储路径
imgs_save_dir，xmls_save_dir: 处理完成的图片、xml文件存储路径
img_suffix: 图片可能的后缀名['.jpg','.png','.bmp',..]
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
iou_thr: iou阈值
'''
for root,dirs,files in os.walk(xmls_dir):
for xml_name in files:
xml_file = os.path.join(xmls_dir,xml_name)
#print(xml_file)
img_file = None
for suffix in img_suffix:
#print(os.path.join(imgs_dir,xml_name.split('.')[0]+suffix))
if os.path.exists(os.path.join(imgs_dir,xml_name.split('.')[0]+suffix)):
img_file = os.path.join(imgs_dir,xml_name.split('.')[0]+suffix)
break
if img_file is None:
print("there has no image for ",xml_name)
continue
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 = xml_name.split('.')[0]+'_'+name_suffix +\
str(crop_top_left_x)+'_'+str(crop_top_left_y)+\
'_wh'+str(crop_imgw)+'x'+str(crop_imgh)+\
'.'+img_file.split('.')[-1]
croped = crop_img_xml(img,voc_xml.get_xml_tree(xml_file),croped_img_name,crop_top_left_x,crop_top_left_y,crop_imgw,crop_imgh,iou_thr)
imgcrop,xmlcrop = croped[0],croped[1]
cv2.imwrite(os.path.join(imgs_save_dir,croped_img_name),imgcrop)
xmlcrop.save_xml(xmls_save_dir,croped_img_name.split('.')[0]+'.xml')
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))
def main():
imgs_dir ='C:/Users/zxl/Desktop/test/JPEGImages/'
xmls_dir = 'C:/Users/zxl/Desktop/test/Annotations/'
imgs_save_dir= 'C:/Users/zxl/Desktop/test/crop_imgs/'
if not os.path.exists(imgs_save_dir):
os.makedirs(imgs_save_dir)
xmls_save_dir='C:/Users/zxl/Desktop/test/crop_xmls/'
if not os.path.exists(xmls_save_dir):
os.makedirs(xmls_save_dir)
img_suffix=['.jpg','.png','.bmp']
name_suffix='crop' #命名标识
crop_type = 'RANDOM_CROP' #['RANDOM_CROP','CENTER_CROP','FIVE_CROP']
crop_n = 5 #每张原图 crop 5张图
dsize = (400,300) #指定裁剪尺度
fw=0.5
fh=0.7 #指定裁剪尺度比例
random_wh=False #是否随机尺度裁剪，若为True,则dsize指定的尺度失效
iou_thr = 0.5 #裁剪后目标框大小与原框大小的iou值大于该阈值则保留
crop_img_xml_from_dir(imgs_dir,xmls_dir,imgs_save_dir,xmls_save_dir,img_suffix,name_suffix,\
crop_type,crop_n,dsize,fw,fh,random_wh,iou_thr)
# crop_imgs_without_label(imgs_dir,imgs_save_dir,name_suffix,crop_type,\
# crop_n,dsize,fw,fh,random_wh)
if __name__=='__main__':
main()