如何使用python谷歌colab在文件夹中存储带有边框的图像

Question

在检测到人脸后，我正在尝试保存图像。我尝试使用matplotlb.pyplot.savefig(img，bbox_inches='ight'，pad_inches=0(和这个存储的图像，但所有存储的图像都是空白的白色图像。我得到的输出

我希望它存储的是：-的输出

#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), width, 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")

Answer 1

所以不使用

pixels = cv2.imread(filename)

你应该放

pixels = pyplot.imread(filename)

我想这是一个语法错误。

同时将其从for loop 中删除

matplotlib.pyplot.savefig(img, bbox_inches='tight', pad_inches=0)

然后在定义的函数draw_image_with_boxes(filename, result_list)中；显示绘图"；添加以下代码行。

pyplot.savefig('/content/drive/My Drive/TESTBBOX/' + 'image'+ str(i)+'.jpg',bbox_inches='tight')