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python - 如何在Dlib中保存带有检测框的图像?

转载 作者:行者123 更新时间:2023-11-28 16:30:12 31 4
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我正在尝试修改 Dlib 的 train_object_detector 示例,以将带有检测框的图像保存到文件中。如何使用叠加层保存图像。看完这篇answer ,我做了:

import os
import sys
import glob

import dlib
from skimage import io

if len(sys.argv) != 2:
print(
"Give the path to the examples/faces directory as the argument to this "
"program. For example, if you are in the python_examples folder then "
"execute this program by running:\n"
" ./train_object_detector.py ../examples/faces")
exit()
faces_folder = sys.argv[1]


options = dlib.simple_object_detector_training_options()

options.add_left_right_image_flips = True

options.C = 5

options.num_threads = 8
options.be_verbose = True


training_xml_path = os.path.join(faces_folder, "training.xml")
testing_xml_path = os.path.join(faces_folder, "testing.xml")


# Now let's use the detector as you would in a normal application. First we
# will load it from disk.
detector = dlib.simple_object_detector("detector.svm")

# We can look at the HOG filter we learned. It should look like a face. Neat!
win_det = dlib.image_window()
win_det.set_image(detector)

# Now let's run the detector over the images in the faces folder and display the
# results.
print("Showing detections on the images in the faces folder...")
win = dlib.image_window()
for f in glob.glob(os.path.join(faces_folder, "*.jpg")):
print("Processing file: {}".format(f))
img = io.imread(f)
dets = detector(img)
print("Number of faces detected: {}".format(len(dets)))
for k, d in enumerate(dets):
print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
k, d.left(), d.top(), d.right(), d.bottom()))

win.clear_overlay()
win.set_image(img)
win.add_overlay(dets)
img1 = dlib.draw_rectangle(img,dets)
outname = f + "_detected.jpg"
#img1 = np.where(dets != 0, dets, img)
io.imsave(outname,img1)

但是我得到这个错误:

Traceback (most recent call last):
File "/Users/mas/dlib/python_examples/testing.py", line 74, in <module>
img1 = dlib.draw_rectangle(img,dets)
AttributeError: 'module' object has no attribute 'draw_rectangle'

最佳答案

如果您可以使用 opencv,则可以使用 cv2.rectangle()

除了在代码中使用 img1 = dlib.draw_rectangle(img,dets),您还可以使用:

for k, d in enumerate(dets):
print ("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(k, d.left(), d.top(), d.right(), d.bottom()))
cv2.rectangle(img, (d.left(), d.top()), (d.right(), d.bottom()), (255, 0, 255), 2)

这将在原始图像上绘制矩形。您可以使用 cv2.imwrite() 函数保存图像:

cv2.imwrite(outname, img)

关于python - 如何在Dlib中保存带有检测框的图像?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/32717426/

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