如何通过Dlib将mmod_rectangles转换为矩形？
如何通过Dlib将mmod_rectangles转换为矩形？
提问于 2019-05-27 09:00:21
在这段代码中，使用了dlib的检测器。
dlib.cnn_face_detection_model_v1('mmod_human_face_detector.dat') dlib.get_frontal_face_detector()
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('res/model.dat')
# detector = dlib.cnn_face_detection_model_v1('mmod_human_face_detector.dat')
cap = cv.VideoCapture(0)
while True:
_, frame = cap.read(0)
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
dets = detector(gray, 0)
print(dets)
for det in dets:
landmarks = shape_to_np(predictor(gray, det))
cv.imshow('test', frame)
if cv.waitKey(1) == ord('q'):
break当使用cnn探测器时，dets看上去如下：
mmod_rectangles[[(258, 254) (422, 417)]]并在预测器行中抛出异常：
TypeError: __call__(): incompatible function arguments. The following
argument types are supported:
1. (self: dlib.shape_predictor, image: array, box: dlib.rectangle) -> dlib.full_object_detection
Invoked with: <dlib.shape_predictor object at 0x7f37a12ba9d0>,
array([[71, 69, 70, ..., 71, 70, 73],
[71, 72, 71, ..., 72, 72, 75],
[71, 70, 71, ..., 72, 72, 73],
...,
[27, 27, 27, ..., 75, 71, 68],
[27, 27, 27, ..., 74, 71, 71],
[24, 25, 27, ..., 73, 71, 70]], dtype=uint8), <dlib.mmod_rectangle object at 0x7f37819beea0>但是当使用get_frontal_face_detector时，dets看起来是：
rectangles[[(273, 234) (453, 413)]]代码工作正常。
回答 2
Stack Overflow用户
回答已采纳
发布于 2019-05-27 22:18:43
试着表演
faceRect = det.rect
landmarks = shape_to_np(predictor(gray, faceRect))Stack Overflow用户
发布于 2022-03-14 09:47:36
perhas版本问题
faceRect = det[0].rect
landmarks = shape_to_np(predictor(gray, faceRect))页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/56322815
复制相关文章
相似问题
腾讯云开发者
