ialhashim

# Copy from https://github.com/bbonik/image_enhancement/blob/f0c286a166443202d592b920b63ee6901a0ee727/source/image_enhancement.py#L1388

import numpy as np
from skimage import img_as_float

def change_color_saturation(
        image_color, 
        image_ph_mask=None, 
        sat_degree=1.5,):
    LOCAL_BOOST = 0.2

ialhashim

template<typename Scalar, typename Container>
inline static Eigen::Matrix<Scalar,-1,-1> toEigenMatrix( const Container& vectors ){
	typedef typename Container::value_type VectorType;
	typedef typename VectorType::value_type Scalar;
	Eigen::Matrix<Scalar,-1,-1> M(vectors.size(), vectors.front().size());
	for(size_t i = 0; i < vectors.size(); i++)
		for(size_t j = 0; j < vectors.front().size(); j++)
			M(i,j) = vectors[i][j];
	return M;
}

ialhashim

// Source: https://github.com/samkusin/gamelabs/tree/master/voronoi
// with a bug fix (ennetws)
/* Usage:
using namespace cinekine;
...
voronoi::Sites sites;
for(int i = 0; i < 5; i++) sites.push_back(voronoi::Vertex(rand()*xBound/RAND_MAX,rand()*yBound/RAND_MAX));
...
voronoi::Graph graph = voronoi::build(std::move(sites), xBound, yBound);
...

ialhashim

inline QVector<QColor> rndColors(int count){
	QVector<QColor> colors;
	float currentHue = 0.0;
	for (int i = 0; i < count; i++){
		colors.push_back( QColor::fromHslF(currentHue, 1.0, 0.5) );
		currentHue += 0.618033988749895f;
		currentHue = std::fmod(currentHue, 1.0f);
	}
	return colors;
}

ialhashim

//
// Step 3: In the file 'AgoraSdk.cpp'
//
void AgoraSdk::videoFrameReceivedImpl(
    agora::linuxsdk::uid_t uid,
    const agora::linuxsdk::VideoFrame *pframe) const {

  char uidbuf[65];
  snprintf(uidbuf, sizeof(uidbuf), "%u", uid);

ialhashim

#pragma once
// Linear angle based parameterization SGP '07 - c++ code
// Based on code by Rhaleb Zayer

#include "SurfaceMeshModel.h"
#include "SurfaceMeshHelper.h"

using namespace SurfaceMesh;

#include <Eigen/Core>

ialhashim

import tensorflow as tf
import keras.backend as K
from keras.layers import Lambda

#
# Keras + TensorFlow
# Resize 'tensorA' to be of the same size as 'tensorB' using 'tf.image.resize_bilinear'
# Very useful for skip-connections and 'Concatenate' layers that might complain about being off by one column
# Only works when dimensions are provided since we use ' K.int_shape' that returns the static shape
#

ialhashim

/*
  The most basic example to capture matching RGB and Depth images from an Azure Kinect DK device.
  
  CImg is used to visualize the matching RGB and Depth.
*/

#pragma comment(lib, "gdi32.lib")
#pragma comment(lib, "user32.lib")
#pragma comment(lib, "shell32.lib")

ialhashim

// Color map based on work by Kenneth Moreland: http://www.sandia.gov/~kmorel/documents/ColorMaps/
#pragma once
#include <QVector> // or use std::vector

inline std::vector< std::vector<double> > makeColorMap()
{
	QVector<int> colorArray;
	colorArray <<59<<76<<192<<60<<78<<194<<61<<80<<195<<62<<81<<197<<
		63<<83<<198<<64<<85<<200<<66<<87<<201<<67<<88<<203<<68<<90<<204<<
		69<<92<<206<<70<<93<<207<<71<<95<<209<<73<<97<<210<<74<<99<<211<<

ialhashim

from joblib import Parallel, delayed

import numpy as np
from skimage.transform import resize

files = list(data.keys())[1:]

def coords(filename):
    filename = filename.replace('11_1024/', '').replace('.jpg', '').replace('11_', '')
    filename = filename.replace('[','').replace(']','').split('_')