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python - 'cv2.face_BasicFaceRecognizer' 对象没有属性 'getParams' Python

转载 作者:太空宇宙 更新时间:2023-11-03 21:45:05 25 4
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我在使用 OpenCV 和 Python 创建人脸识别系统时遇到了一些问题。我试图使用 Philipp Wagner 提供的文档,我有以下代码:

import os
import sys
import cv2
import numpy as np

def normalize(X, low, high, dtype=None):
"""Normalizes a given array in X to a value between low and high."""
X = np.asarray(X)
minX, maxX = np.min(X), np.max(X)
# normalize to [0...1].
X = X - float(minX)
X = X / float((maxX - minX))
# scale to [low...high].
X = X * (high-low)
X = X + low
if dtype is None:
return np.asarray(X)
return np.asarray(X, dtype=dtype)


def read_images(path, sz=None):
"""Reads the images in a given folder, resizes images on the fly if size is given.
Args:
path: Path to a folder with subfolders representing the subjects (persons).
sz: A tuple with the size Resizes
Returns:
A list [X,y]

X: The images, which is a Python list of numpy arrays.
y: The corresponding labels (the unique number of the subject, person) in a Python list.
"""
c = 0
X,y = [], []
for dirname, dirnames, filenames in os.walk(path):
for subdirname in dirnames:
subject_path = os.path.join(dirname, subdirname)
for filename in os.listdir(subject_path):
try:
im = cv2.imread(os.path.join(subject_path, filename), cv2.IMREAD_GRAYSCALE)
# resize to given size (if given)
if (sz is not None):
im = cv2.resize(im, sz)
X.append(np.asarray(im, dtype=np.uint8))
y.append(c)
except IOError, (errno, strerror):
print "I/O error({0}): {1}".format(errno, strerror)
except:
print "Unexpected error:", sys.exc_info()[0]
raise
c = c+1
return [X,y]

if __name__ == "__main__":
out_dir = None

if len(sys.argv) < 2:
print "USAGE: facerec_demo.py </path/to/images> [</path/to/store/images/at>]"
sys.exit()

[X,y] = read_images(sys.argv[1])

y = np.asarray(y, dtype=np.int32)
# If a out_dir is given, set it:
if len(sys.argv) == 3:
out_dir = sys.argv[2]

model = cv2.face.createEigenFaceRecognizer()
model.train(np.asarray(X), np.asarray(y))
model.save('individual.xml')

[p_label, p_confidence] = model.predict(np.asarray(X[0]))
# Print it:
print "Predicted label = %d (confidence=%.2f)" % (p_label, p_confidence)

print model.getParams()
# Now let's get some data:
mean = model.getMat("mean")
eigenvectors = model.getMat("eigenvectors")
# We'll save the mean, by first normalizing it:
mean_norm = normalize(mean, 0, 255, dtype=np.uint8)
mean_resized = mean_norm.reshape(X[0].shape)
if out_dir is None:
cv2.imshow("mean", mean_resized)
else:
cv2.imwrite("%s/mean.png" % (out_dir), mean_resized)
for i in xrange(min(len(X), 16)):
eigenvector_i = eigenvectors[:,i].reshape(X[0].shape)
eigenvector_i_norm = normalize(eigenvector_i, 0, 255, dtype=np.uint8)
if out_dir is None:
cv2.imshow("%s/eigenface_%d" % (out_dir,i), eigenvector_i_norm)
else:
cv2.imwrite("%s/eigenface_%d.png" % (out_dir,i), eigenvector_i_norm)

if out_dir is None:
cv2.waitKey(0)

但它让我收到以下错误:

print model.getParams()
AttributeError: 'cv2.face_BasicFaceRecognizer' object has no attribute 'getParams'

知道为什么我无法获取任何参数吗?我认为这可能是因为子模块 cv2.face 的合并,因此它可能是 model.getParams() 和 getMat() 的替代品,但我只是猜测......提前致谢。

最佳答案

也许为时已晚,但这就是我所做的。

首先,查看支持你的cv2.face的方法列表

model = cv2.face.createEigenFaceRecognizer ()
help (model)

您会注意到,有一些更改不再使用:model.getMat ("mean") 现在仅使用 mean = model.getMean() .

希望对你有帮助:)

关于python - 'cv2.face_BasicFaceRecognizer' 对象没有属性 'getParams' Python,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/33269705/

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