Simple Digit Recognition OCR in OpenCV-Python
I am trying to implement a “Digit Recognition OCR” in OpenCV-Python (cv2). It is just for learning purposes. I would like to learn both KNearest and SVM features in OpenCV.
I am trying to implement a “Digit Recognition OCR” in OpenCV-Python (cv2). It is just for learning purposes. I would like to learn both KNearest and SVM features in OpenCV.
I use Python and NumPy and have some problems with “transpose”:
I have an array of distances called dists. I want to select dists which are within a range.
What is the simplest way to compare two NumPy arrays for equality (where equality is defined as: A = B iff for all indices i: A[i] == B[i])?
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How to convert a tensor into a numpy array when using Tensorflow with Python bindings?
I am trying to install python and a series of packages onto a 64bit windows 7 desktop. I have installed Python 3.4, have Microsoft Visual Studio C++ installed, and have successfully installed numpy, pandas and a few others. I am getting the following error when trying to install scipy;
What is the most elegant way to access an n dimensional array with an (n-1) dimensional array along a given dimension as in the dummy example
Is there a way to efficiently implement a rolling window for 1D arrays in Numpy?
After creating a NumPy array, and saving it as a Django context variable, I receive the following error when loading the webpage: