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我一直在试图挽救一个cv2.knearest训练模型到文件。对于下面的代码(蟒蛇2)酸洗cv2.Knearest对象不工作
import numpy as np
import cv2
from sklearn.datasets import load_digits
import pickle
from sklearn.externals import joblib
samples = np.float32(np.loadtxt('feature_vector_pixels.data'))
responses = np.float32(np.loadtxt('samples_pixels.data'))
model = cv2.KNearest()
model.train(samples, responses)
# save the model to disk
filename = 'init_model.sav'
pickle.dump(model, open(filename, 'wb'))
我得到
Traceback (most recent call last):
File "picklemake.py", line 14, in <module>
pickle.dump(model, open(filename, 'wb'))
File "C:\Users\Karthik\Anaconda3\envs\py27\lib\pickle.py", line 1376, in dump
Pickler(file, protocol).dump(obj)
File "C:\Users\Karthik\Anaconda3\envs\py27\lib\pickle.py", line 224, in dump
self.save(obj)
File "C:\Users\Karthik\Anaconda3\envs\py27\lib\pickle.py", line 306, in save
rv = reduce(self.proto)
File "C:\Users\Karthik\Anaconda3\envs\py27\lib\copy_reg.py", line 70, in _reduce_ex
raise TypeError, "can't pickle %s objects" % base.__name__
TypeError: can't pickle KNearest objects
是还有其他方法可以将这个模型保存到文件中。
而且 使用model.save,我得到OpenCV Error: The function/feature is not implemented() in CvStatModel::write, file ..\..\..\modules\ml\src\inner_functions.cpp
使用model.save,我得到'OpenCV的错误:功能/特性未实现()在CvStatModel ::写,文件.. \ .. \ .. \模块\毫升的\ src \ inner_functions.cpp' –
我的不好。我将留下记录的答案,尽管它没用。我不知道如何帮助你。顺便说一句,这个信息添加到原来的问题,它会令你得到的答案上去的机会。 –