Sten Goes stengoes

A minimal example for creating, compiling and using a static library in C++.

// test.h
#pragma once 
int add(int a, int b);
int mult(int a, int b);

A minimal example for creating, compiling and using a dynamic library in C++.

// test.h
#pragma once 
int add(int a, int b);
int mult(int a, int b);

	class CosineDecayWithWarmup(tf.keras.optimizers.schedules.LearningRateSchedule):

	def __init__(
	self,
	warmup_steps,
	total_steps,
	base_lr=0.001,
	):
	super(CosineDecayWithWarmup, self).__init__()
	self.warmup_steps = warmup_steps

	import tensorflow as tf

	# Reset states (to be sure)
	tf.keras.backend.clear_session()

	# Method 1
	x = tf.keras.Input(shape=(224, 224, 3), dtype=tf.uint8)
	c = tf.keras.layers.Flatten()(x)
	y = tf.keras.layers.Dense(units=2, activation="softmax")(c)
	model1 = tf.keras.Model(inputs=x, outputs=y)

	function image_pad_or_crop(image, output_height, output_width) {
	// Pads or crops an image so that the height and width dimensions match output_height and output_width.
	// This function is compatible with tf.image.resize_with_crop_or_pad(image, target_height, target_width)

	// Validate inputs
	const image_size = image.height * image.width * image.depth;
	if (image.data.length != image_size) {
	console.log("Error: image dimensions do not match rgba buffer size!");
	return null;
	}

	function zeropad(image, top, bottom, left, right) {
	// Pads an image with a specified amount of zeros on the top, left, bottom and right.

	// Validate inputs
	const image_size = image.height * image.width * image.depth;
	if (image.data.length != image_size) {
	console.log("Error: image dimensions do not match rgba buffer size!");
	return null;
	}
	if (image.data.constructor !== Uint8ClampedArray && image.data.constructor !== Float32Array) {

	function distribute_recordings_over_lines(num_recordings, distribution, lines) {
	// This function distributes number of recordings optimally
	// given the current distribution and the lines on which you want to record.

	function find_level(n, distribution, lines, low, high) {
	// Compute the level
	const level = (low + high) / 2;

	// Compute search statistic
	let s = 0;

	function resizeBicubic(image, newHeight, newWidth) {

	/* Helper functions */
	function extrapolateImageBoundaries(image) {

	const height = image.length;
	const width = image[0].length;

	// Linearly extrapolate top and bottom of the image
	image[-2] = [];

	function demosaic(raw) {
	// Demosaics a Color Filter Array (CFA) into a RGBA color array.
	// For implementation details see: http://research.microsoft.com/pubs/102068/demosaicing_icassp04.pdf

	// Validate inputs
	const raw_size = raw.height * raw.width * raw.depth;
	if (raw.data.length != raw_size) {
	console.log("Error: raw image dimensions do not match raw buffer size!");
	return null;
	}

	<html>
	<body>
	<canvas id="mycanvas" width="2048" height="512"></canvas>

	</body>

	</html>

	<script>
	const height = 512;