bikz05 / digit-recognition Goto Github PK

Python 2.7.12
OpenCV 3.4.0

python performRecognition.py -c digits_cls.pkl -i photo_1.jpg

Traceback (most recent call last):
File "performRecognition.py", line 52, in
roi_hog_fd = pp.transform(np.array([roi_hog_fd], 'float64'))
File "/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py", line 638, in transform
check_is_fitted(self, 'scale_')
File "/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py", line 678, in check_is_fitted
raise NotFittedError(msg % {'name': type(estimator).name})
sklearn.utils.validation.NotFittedError: This StandardScaler instance is not fitted yet. Call 'fit' with appropriate arguments before using this method.

Pls help me to fix this error

with pre 0.18 version of skimage.

Please look into it.
Thanks,
Umair

Hi, I am getting the following error when I tried to run performRecognition.py
I am a noob to Python and OpenCV, please help.

Traceback (most recent call last):
File "C:/Users/User/Downloads/digitRecognition/performRecognition.py", line 24, in
rects = [cv2.boundingRect(ctr) for ctr in ctrs]
TypeError: points is not a numpy array, neither a scalar

Process finished with exit code 1

hi
i change jpg to png file
and then an error occurred

C:\Users\Andy\Downloads\digit-recognition-master\digit-recognition-master>python performRecognition.py -c digits_cls3.pkl -i test.png
OpenCV Error: Assertion failed (ssize.width > 0 && ssize.height > 0) in cv::resize, file D:\Build\OpenCV\opencv-3.2.0\modules\imgproc\src\imgwarp.cpp, line 3492
Traceback (most recent call last):
File "performRecognition.py", line 46, in
roi = cv2.resize(roi, (28, 28), interpolation=cv2.INTER_AREA)
cv2.error: D:\Build\OpenCV\opencv-3.2.0\modules\imgproc\src\imgwarp.cpp:3492: error: (-215) ssize.width > 0 && ssize.height > 0 in function cv::resize

Hi . I encountered this error upon running the code

Traceback (most recent call last):
File "generateClassifier.py", line 13, in
dataset = datasets.fetch_mldata("MNIST Original")
File "/usr/lib/python2.7/dist-packages/sklearn/datasets/mldata.py", line 142, in fetch_mldata
mldata_url = urlopen(urlname)
File "/usr/lib/python2.7/urllib2.py", line 154, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python2.7/urllib2.py", line 435, in open
response = meth(req, response)
File "/usr/lib/python2.7/urllib2.py", line 548, in http_response
'http', request, response, code, msg, hdrs)
File "/usr/lib/python2.7/urllib2.py", line 473, in error
return self._call_chain(*args)
File "/usr/lib/python2.7/urllib2.py", line 407, in _call_chain
result = func(*args)
File "/usr/lib/python2.7/urllib2.py", line 556, in http_error_default
raise HTTPError(req.get_full_url(), code, msg, hdrs, fp)
urllib2.HTTPError: HTTP Error 500: Internal Server Error

why don`t you make it clear the python version?

When I try to test the classifier, run the performRecognition.py script, I faced this problem, and I have no idea how to deal with that. I tried to run it in python 2 and python 3, it all has problems, hope someone can help me, thank you!

pi@raspberrypi:~/digit-recognition $ python performRecognition.py -c digits_cls.pkl -i photo_1.jpg
Traceback (most recent call last):
File "performRecognition.py", line 51, in
nbr = clf.predict(roi_hog_fd)
File "/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py", line 228, in predict
return self.classes_[indices]
File "/usr/lib/python2.7/dist-packages/sklearn/svm/base.py", line 709, in classes_
return self.enc.classes
AttributeError: 'LinearSVC' object has no attribute '_enc'

I am getting this error

"You may be trying to read with python 3 a joblib pickle generated with python 2. This feature is not supported by joblib"