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OpenCV 4.11.0
Open Source Computer Vision
BEGIN_CUSTOM_MATHJAX // END_CUSTOM_MATHJAX
samples/dnn/colorization.cpp
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html
#include <opencv2/dnn.hpp>
#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
using namespace cv;
using namespace cv::dnn;
using namespace std;
// the 313 ab cluster centers from pts_in_hull.npy (already transposed)
static float hull_pts[] = {
-90., -90., -90., -90., -90., -80., -80., -80., -80., -80., -80., -80., -80., -70., -70., -70., -70., -70., -70., -70., -70.,
-70., -70., -60., -60., -60., -60., -60., -60., -60., -60., -60., -60., -60., -60., -50., -50., -50., -50., -50., -50., -50., -50.,
-50., -50., -50., -50., -50., -50., -40., -40., -40., -40., -40., -40., -40., -40., -40., -40., -40., -40., -40., -40., -40., -30.,
-30., -30., -30., -30., -30., -30., -30., -30., -30., -30., -30., -30., -30., -30., -30., -20., -20., -20., -20., -20., -20., -20.,
-20., -20., -20., -20., -20., -20., -20., -20., -20., -10., -10., -10., -10., -10., -10., -10., -10., -10., -10., -10., -10., -10.,
-10., -10., -10., -10., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 10., 10., 10., 10., 10., 10., 10.,
10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 20., 20., 20., 20., 20., 20., 20., 20., 20., 20., 20., 20., 20., 20., 20.,
20., 20., 20., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 30., 40., 40., 40., 40.,
40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 40., 50., 50., 50., 50., 50., 50., 50., 50., 50., 50.,
50., 50., 50., 50., 50., 50., 50., 50., 50., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60., 60.,
60., 60., 60., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 80., 80., 80.,
80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 80., 90., 90., 90., 90., 90., 90., 90., 90., 90., 90.,
90., 90., 90., 90., 90., 90., 90., 90., 90., 100., 100., 100., 100., 100., 100., 100., 100., 100., 100., 50., 60., 70., 80., 90.,
20., 30., 40., 50., 60., 70., 80., 90., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90., -20., -10., 0., 10., 20., 30., 40., 50.,
60., 70., 80., 90., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90., 100., -40., -30., -20., -10., 0., 10., 20.,
30., 40., 50., 60., 70., 80., 90., 100., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90., 100., -50.,
-40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90., 100., -60., -50., -40., -30., -20., -10., 0., 10., 20.,
30., 40., 50., 60., 70., 80., 90., 100., -70., -60., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90.,
100., -80., -70., -60., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90., -80., -70., -60., -50.,
-40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., 90., -90., -80., -70., -60., -50., -40., -30., -20., -10.,
0., 10., 20., 30., 40., 50., 60., 70., 80., 90., -100., -90., -80., -70., -60., -50., -40., -30., -20., -10., 0., 10., 20., 30.,
40., 50., 60., 70., 80., 90., -100., -90., -80., -70., -60., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70.,
80., -110., -100., -90., -80., -70., -60., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., -110., -100.,
-90., -80., -70., -60., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., 80., -110., -100., -90., -80., -70.,
-60., -50., -40., -30., -20., -10., 0., 10., 20., 30., 40., 50., 60., 70., -110., -100., -90., -80., -70., -60., -50., -40., -30.,
-20., -10., 0., 10., 20., 30., 40., 50., 60., 70., -90., -80., -70., -60., -50., -40., -30., -20., -10., 0.
};
int main(int argc, char **argv)
{
const string about =
"This sample demonstrates recoloring grayscale images with dnn.\n"
"This program is based on:\n"
" http://richzhang.github.io/colorization\n"
" https://github.com/richzhang/colorization\n"
"Download caffemodel and prototxt files:\n"
" http://eecs.berkeley.edu/~rich.zhang/projects/2016_colorization/files/demo_v2/colorization_release_v2.caffemodel\n"
" https://raw.githubusercontent.com/richzhang/colorization/caffe/models/colorization_deploy_v2.prototxt\n";
const string keys =
"{ h help | | print this help message }"
"{ proto | colorization_deploy_v2.prototxt | model configuration }"
"{ model | colorization_release_v2.caffemodel | model weights }"
"{ image | space_shuttle.jpg | path to image file }"
"{ opencl | | enable OpenCL }";
CommandLineParser parser(argc, argv, keys);
parser.about(about);
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
string modelTxt = samples::findFile(parser.get<string>("proto"));
string modelBin = samples::findFile(parser.get<string>("model"));
string imageFile = samples::findFile(parser.get<string>("image"));
bool useOpenCL = parser.has("opencl");
if (!parser.check())
{
parser.printErrors();
return 1;
}
Mat img = imread(imageFile);
if (img.empty())
{
cout << "Can't read image from file: " << imageFile << endl;
return 2;
}
// fixed input size for the pretrained network
const int W_in = 224;
const int H_in = 224;
Net net = dnn::readNetFromCaffe(modelTxt, modelBin);
if (useOpenCL)
net.setPreferableTarget(DNN_TARGET_OPENCL);
// setup additional layers:
int sz[] = {2, 313, 1, 1};
const Mat pts_in_hull(4, sz, CV_32F, hull_pts);
Ptr<dnn::Layer> class8_ab = net.getLayer("class8_ab");
class8_ab->blobs.push_back(pts_in_hull);
Ptr<dnn::Layer> conv8_313_rh = net.getLayer("conv8_313_rh");
conv8_313_rh->blobs.push_back(Mat(1, 313, CV_32F, Scalar(2.606)));
// extract L channel and subtract mean
Mat lab, L, input;
img.convertTo(img, CV_32F, 1.0/255);
cvtColor(img, lab, COLOR_BGR2Lab);
extractChannel(lab, L, 0);
resize(L, input, Size(W_in, H_in));
input -= 50;
// run the L channel through the network
Mat inputBlob = blobFromImage(input);
net.setInput(inputBlob);
Mat result = net.forward();
// retrieve the calculated a,b channels from the network output
Size siz(result.size[2], result.size[3]);
Mat a = Mat(siz, CV_32F, result.ptr(0,0));
Mat b = Mat(siz, CV_32F, result.ptr(0,1));
resize(a, a, img.size());
resize(b, b, img.size());
// merge, and convert back to BGR
Mat color, chn[] = {L, a, b};
merge(chn, 3, lab);
cvtColor(lab, color, COLOR_Lab2BGR);
imshow("color", color);
imshow("original", img);
waitKey();
return 0;
}
cv::merge
void merge(const Mat *mv, size_t count, OutputArray dst)
Creates one multi-channel array out of several single-channel ones.
cv::extractChannel
void extractChannel(InputArray src, OutputArray dst, int coi)
Extracts a single channel from src (coi is 0-based index)
cv::Size
Size2i Size
Definition: modules/core/include/opencv2/core/types.hpp:370
cv::Scalar
Scalar_< double > Scalar
Definition: modules/core/include/opencv2/core/types.hpp:709
CV_32F
#define CV_32F
Definition: core/include/opencv2/core/hal/interface.h:78
cv::ocl::useOpenCL
bool useOpenCL()
cv::samples::findFile
cv::String findFile(const cv::String &relative_path, bool required=true, bool silentMode=false)
Try to find requested data file.
cv::dnn::blobFromImage
Mat blobFromImage(InputArray image, double scalefactor=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=false, bool crop=false, int ddepth=CV_32F)
Creates 4-dimensional blob from image. Optionally resizes and crops image from center,...
cv::dnn::readNetFromCaffe
Net readNetFromCaffe(CV_WRAP_FILE_PATH const String &prototxt, CV_WRAP_FILE_PATH const String &caffeModel=String())
Reads a network model stored in Caffe framework's format.
cv::dnn::DNN_TARGET_OPENCL
@ DNN_TARGET_OPENCL
Definition: dnn/dnn.hpp:98
cv::imshow
void imshow(const String &winname, InputArray mat)
Displays an image in the specified window.
cv::waitKey
int waitKey(int delay=0)
Waits for a pressed key.
cv::imread
CV_EXPORTS_W Mat imread(const String &filename, int flags=IMREAD_COLOR_BGR)
Loads an image from a file.
cv::cvtColor
void cvtColor(InputArray src, OutputArray dst, int code, int dstCn=0, AlgorithmHint hint=cv::ALGO_HINT_DEFAULT)
Converts an image from one color space to another.
cv::COLOR_BGR2Lab
@ COLOR_BGR2Lab
convert RGB/BGR to CIE Lab, color conversions
Definition: imgproc/include/opencv2/imgproc.hpp:601
cv::COLOR_Lab2BGR
@ COLOR_Lab2BGR
Definition: imgproc/include/opencv2/imgproc.hpp:612
cv::resize
void resize(InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
Resizes an image.
main
int main(int argc, char *argv[])
Definition: highgui_qt.cpp:3
cv::dnn
Definition: all_layers.hpp:47
cv
Definition: core/include/opencv2/core.hpp:107
std
STL namespace.
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