zarray | Dynamically typed N-D expression system based on xtensor

Consider an output Y of size (n0,n1) and an input X of size (m0, m1) --- both are 2D arrays to make things a bit more general. Then the size of the jacobian that you provide to OpenMDAO for derivatives of Y with respect to X will be a matrix of size (n0*n1, m0*m1) ---i.e. n0*n1 rows and m0*m1 columns.

You always get the number of rows equal to the flattened size of the array (and the rows will be in the same order as the flattened array). It works similarly for inputs.

The best way to look at the partial derivative Jacobian, and to see if you got the derivative right is to use the check_partials method which will compare your analytic derivatives to the approximate ones. You can use this, even if you haven't defined your derivatives yet --- you'll just get all zeros, which you can check by commenting out the compute_partials in the following code:

UPDATE 21-Oct-19: Deprecated Git/Simpler Way in favor of new AndroidOpenCVGradlePlugin

UPDATE 22-May-18: Added missing step number 6.

UPDATE 10-May-17: New solution provides proper integration of OpenCV into application with CMake and Android Gradle plugin 2.3.1. Tested using Android Studio 2.3.1.

UPDATE 11-May-17: An additional solution has been provided

There are two ways of including OpenCV.

Using AndroidOpenCVGradlePlugin

Visit https://github.com/ahasbini/AndroidOpenCVGradlePlugin for more details.

Git/Simpler Way

Visit https://github.com/ahasbini/Android-OpenCV for more details.

Manual/Advanced Way

To include OpenCV libraries into Android Studio Project, its best to create a new Library Module in the project and port the files from OpenCV Android SDK bundle into it:

1. Create a new module by selecting File>New Module.
2. Select "Android Library", and then enter the details:
   • Library name: OpenCV
   • Module name: opencv
   • Package name: org.opencv
3. Once the new module created, copy the contents of path_to_opencv_sdk/sdk/java/src directory into path_to_your_project/opencv/src/main/java.
4. Under main, create the following directly path: aidl/org/opencv/engine and move main/java/org/opencv/engine/OpenCVEngineInterface.aidl into it.
5. Copy the contents of path_to_opencv_sdk/sdk/java/res into path_to_your_project/opencv/src/main/res.
6. Create sdk folder inside path_to_your_project/opencv/src/ and copy path_to_opencv_sdk/sdk/native folder into it.
7. Within the opencv module, create CMakeLists.txt file and add the following lines in the following order:

Actually, there is no way to use a buffer as an array. I mean, it will be using an ArrayBuffer of float, but then you have to transform in NodeJs to convert from buffer to an array, so the fastest transformation is on pure C++ and using a loop.

I believe if you use index_col=False in your read_csv call, it will fix this issue.

Your for loop can never end. Since j is unsigned, it will always be greater than or equal to zero. So j >= 0 will always be true.

Before you subtract from an unsigned value, you really need to test to make sure the subtraction won't underflow. And your compiler should have given you a warning that the comparison will always be true.

You can use np.argwhere to get the matching indices packed as a 2D array with each row holding indices for each match and then index into the first row, like so -

This is basically covered in this part of cython documentation, which says that you only need to import parts, which you will be using in your cython code.

For example let's take a look at the following C interface:

Did you mean something like

set_3d_properties() is a function of the Poly3DCollection class, not the Axes3DSubplot.

You should run