Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use create_kernels method in autotest

Best Python code snippet using autotest_python

KeyNet.py

Source:KeyNet.py

...20            core_layers.ConvLayer(shape=[5, 5, 24, 1])21        ]22        super().__init__(network)23        MSIP_sizes = [8, 16, 24, 32, 40]24        self.create_kernels(MSIP_sizes, "KeyNet")25    def create_kernels(self, MSIP_sizes, name_scope):26        # create_kernels27        self.kernels = {}28        # Grid Indexes for MSIP29        for ksize in MSIP_sizes:30            from KeyNet.model.keynet_architecture import ones_multiple_channels, grid_indexes, linear_upsample_weights31            ones_kernel = ones_multiple_channels(ksize, 1)32            indexes_kernel = grid_indexes(ksize)33            upsample_filter_np = linear_upsample_weights(int(ksize / 2), 1)34            self.ones_kernel = tf.constant(ones_kernel, name=name_scope +'_Ones_kernel_'+str(ksize))35            self.kernels['ones_kernel_'+str(ksize)] = self.ones_kernel36            self.upsample_filter_np = tf.constant(upsample_filter_np, name=name_scope+'_upsample_filter_np_'+str(ksize))37            self.kernels['upsample_filter_np_'+str(ksize)] = self.upsample_filter_np38            self.indexes_kernel = tf.constant(indexes_kernel, name=name_scope +'_indexes_kernel_'+str(ksize))39            self.kernels['indexes_kernel_'+str(ksize)] = self.indexes_kernel...

Q4.py

Source:Q4.py

1def create_kernels():2    kernel_45 = np.array([[2, 1, 0], [1, 0, -1], [0, -1, -2]])3    kernel_135 = np.rot90(kernel_45)4    return kernel_45, kernel_1355def get_45_edges(image):6    '''7    Returns the image which shows the 45-degree edges.8    9    Parameters:10        image (numpy.ndarray): The input image.11    12    Returns:13        edges_45 (numpy.ndarray): The 45-degree edges of input image.14    '''15    kernel, _ = create_kernels()16    17    edges_45 = cv2.filter2D(image, -1, kernel)18    return edges_4519def get_135_edges(image):20    '''21    Returns the image which shows the 135-degree edges.22    23    Parameters:24        image (numpy.ndarray): The input image.25    26    Returns:27        edges_135 (numpy.ndarray): The 135-degree edges of input image.28    '''29    _ , kernel = create_kernels()30    31    edges_135 = cv2.filter2D(image, -1, kernel)32    ...

generate

Source:generate

...4import sys5def main():6    kernels=get_kernels()7    #output_path=get_path() + "/kernels"8    create_kernels(kernels,sys.argv[1])9if __name__ == "__main__":...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.