如何解决如何使用Python Google Colab将带有边框的图像存储在文件夹中?
我试图在检测到人脸后保存它们。我尝试使用matplotlib.pyplot.savefig(img,bbox_inches ='tight',pad_inches = 0)和此存储的图像,但存储的所有图像都是空白的白色图像。 The output I get
我要存储的是:- The Output I expect
#face detection with mtcnn on a photograph
from matplotlib import pyplot
from mtcnn.mtcnn import MTCNN
from matplotlib.patches import Rectangle
from matplotlib.patches import Circle
import glob
import cv2
import matplotlib
# draw an image with detected objects
def draw_image_with_boxes(filename,result_list):
# load the image
data = pyplot.imread(filename)
# plot the image
pyplot.imshow(data)
# get the context for drawing boxes
ax = pyplot.gca()
# plot each box
for result in result_list:
# get coordinates
x,y,width,height = result['box']
# create the shape
rect = Rectangle((x,y),height,fill=False,color='red')
# draw the box
ax.add_patch(rect)
# draw the dots on eyes nose ..
#for key,value in result['keypoints'].items():
# create and draw dot
#dot = Circle(value,radius=2,color='red')
#ax.add_patch(dot)
# show the plot
pyplot.show()
#filename = '/content/drive/My Drive/images/*.jpg'
i = 1
for filename in glob.glob('/content/drive/My Drive/images/*.jpg'):
pixels = cv2.imread(filename)
# load image from file
#pixels = pyplot.imread(filename)
# create the detector,using default weights
detector = MTCNN()
# detect faces in the image
faces = detector.detect_faces(pixels)
# display faces on the original image
new = draw_image_with_boxes(filename,faces)
img = '/content/drive/My Drive/boundingBox' + '/image_' + str(i) + '.jpg'
matplotlib.pyplot.savefig(img,bbox_inches='tight',pad_inches=0)
i+=1
print("Done")
解决方法
所以不是
pixels = cv2.imread(filename)
您应该放
pixels = pyplot.imread(filename)
我猜这是一个语法错误。
也可以将其从for循环中删除
matplotlib.pyplot.savefig(img,bbox_inches='tight',pad_inches=0)
然后在定义的draw_image_with_boxes(filename,result_list)
函数中,在“显示绘图”注释之后添加以下代码行。
pyplot.savefig('/content/drive/My Drive/TESTBBOX/' + 'image'+ str(i)+'.jpg',bbox_inches='tight')