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我按照步骤根据http://npatta01.github.io/2015/08/10/dlib/但是当我尝试运行（我使用sudo），错误运行库蟒蛇
python python_examples/face_detector.py examples/faces/2007_007763.jpg
收回错误。 首先，错误是
AttributeError: 'module' object has no attribute 'image_window'
到第8行 现在，误差为Illegal instruction (core dumped)，但我不知道为什么。 请帮助我正确地添加库。
import sys
import dlib
from skimage import io
detector = dlib.get_frontal_face_detector()
win = dlib.image_window()
for f in sys.argv[1:]:
print("Processing file: {}".format(f))
img = io.imread(f)
# The 1 in the second argument indicates that we should upsample the image
# 1 time. This will make everything bigger and allow us to detect more
# faces.
dets = detector(img, 1)
print("Number of faces detected: {}".format(len(dets)))
for i, d in enumerate(dets):
print("Detection {}: Left: {} Top: {} Right: {} Bottom: {}".format(
i, d.left(), d.top(), d.right(), d.bottom()))
win.clear_overlay()
win.set_image(img)
win.add_overlay(dets)
dlib.hit_enter_to_continue()
# Finally, if you really want to you can ask the detector to tell you the score
# for each detection. The score is bigger for more confident detections.
# The third argument to run is an optional adjustment to the detection threshold,
# where a negative value will return more detections and a positive value fewer.
# Also, the idx tells you which of the face sub-detectors matched. This can be
# used to broadly identify faces in different orientations.
if (len(sys.argv[1:]) > 0):
img = io.imread(sys.argv[1])
dets, scores, idx = detector.run(img, 1, -1)
for i, d in enumerate(dets):
print("Detection {}, score: {}, face_type:{}".format(
d, scores[i], idx[i]))
你可以发布你的代码吗？发生的事情是，您正试图在另一个模块中访问名为image_window的函数或对象，但它不存在。 –
欢迎来到StackOverflow。请阅读并遵守帮助文档中的发布准则。 [最小，完整，可验证的示例]（http://stackoverflow.com/help/mcve）适用于此处。在您发布代码并准确描述问题之前，我们无法有效帮助您。 – Prune
既然你没有充分描述你开始做什么，也没有你改变什么，也没有提供完整的错误信息，我们真的不能帮助。 – Prune