colorization code

Colorization/LICENSE

@@ -0,0 +1,41 @@
+By downloading, copying, installing or using the software you agree to this license.
+If you do not agree to this license, do not download, install,
+copy or use the software.
+
+
+                          License Agreement
+               For Open Source Computer Vision Library
+                       (3-clause BSD License)
+
+Copyright (C) 2000-2018, Intel Corporation, all rights reserved.
+Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
+Copyright (C) 2009-2016, NVIDIA Corporation, all rights reserved.
+Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
+Copyright (C) 2015-2016, OpenCV Foundation, all rights reserved.
+Copyright (C) 2015-2016, Itseez Inc., all rights reserved.
+Third party copyrights are property of their respective owners.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+  * Redistributions of source code must retain the above copyright notice,
+    this list of conditions and the following disclaimer.
+
+  * Redistributions in binary form must reproduce the above copyright notice,
+    this list of conditions and the following disclaimer in the documentation
+    and/or other materials provided with the distribution.
+
+  * Neither the names of the copyright holders nor the names of the contributors
+    may be used to endorse or promote products derived from this software
+    without specific prior written permission.
+
+This software is provided by the copyright holders and contributors "as is" and
+any express or implied warranties, including, but not limited to, the implied
+warranties of merchantability and fitness for a particular purpose are disclaimed.
+In no event shall copyright holders or contributors be liable for any direct,
+indirect, incidental, special, exemplary, or consequential damages
+(including, but not limited to, procurement of substitute goods or services;
+loss of use, data, or profits; or business interruption) however caused
+and on any theory of liability, whether in contract, strict liability,
+or tort (including negligence or otherwise) arising in any way out of
+the use of this software, even if advised of the possibility of such damage.

Colorization/README

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+
+Run the getModels.sh file from command line to download the needed model files
+
+	./getModels.sh
+
+Python:
+Commandline usage to colorize 
+a single image:
+	python3 colorizeImage.py --input data/greyscaleImage.png
+a video file:
+	python3 colorizeVideo.py --input data/greyscaleVideo.mov
+
+
+C++:
+
+Compilation examples:
+g++ -ggdb `pkg-config --cflags --libs /usr/local/Cellar/opencv3/3.4.2/lib/pkgconfig/opencv.pc` colorizeImage.cpp -o colorizeImage.out
+g++ -ggdb `pkg-config --cflags --libs /usr/local/Cellar/opencv3/3.4.2/lib/pkgconfig/opencv.pc` colorizeVideo.cpp -o colorizeVideo.out
+
+Commandline usage to colorize 
+a single image:
+	./colorizeImage.out data/greyscaleImage.png
+a video file:
+	./colorizeVideo.out data/greyscaleVideo.png
+

Colorization/colorizeImage.cpp

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+// This code is written by Sunita Nayak at BigVision LLC. It is based on the OpenCV project. It is subject to the license terms in the LICENSE file found in this distribution and at http://opencv.org/license.html
+
+// Usage example: ./colorizeImage.out data/greyscaleImage.png
+
+#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)
+{
+
+    string imageFileName;
+    // Take arguments from commmand line
+    if (argc < 2)
+    {
+        cout << "Please input the greyscale image filename." << endl;
+        cout << "Usage example: ./colorizeImage.out greyscaleImage.png" << endl;
+        return 1;
+    }
+
+    imageFileName = argv[1];
+    Mat img = imread(imageFileName);
+    if (img.empty())
+    {
+        cout << "Can't read image from file: " << imageFileName << endl;
+        return 2;
+    }
+
+    string protoFile = "./models/colorization_deploy_v2.prototxt";
+    string weightsFile = "./models/colorization_release_v2.caffemodel";
+    //string weightsFile = "./models/colorization_release_v2_norebal.caffemodel";
+
+    double t = (double) cv::getTickCount();
+
+    // fixed input size for the pretrained network
+    const int W_in = 224;
+    const int H_in = 224;
+    Net net = dnn::readNetFromCaffe(protoFile, weightsFile);
+
+    // 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);
+
+    t = ((double)cv::getTickCount() - t)/cv::getTickFrequency();
+    cout << "Time taken : " << t << " secs" << endl;
+
+    string str = imageFileName;
+    str.replace(str.end()-4, str.end(), "");
+    str = str+"_colorized.png";
+    imwrite(str, color*255);
+
+    cout << "Colorized image saved as " << str << endl;
+
+    return 0;
+}

Colorization/colorizeImage.py

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+# This code is written by Sunita Nayak at BigVision LLC. It is based on the OpenCV project.
+# It is subject to the license terms in the LICENSE file found in this distribution and at http://opencv.org/license.html
+
+#### Usage example: python3 colorize.py --input data/greyscaleImage.png
+
+import numpy as np
+import cv2 as cv
+import argparse
+
+parser = argparse.ArgumentParser(description='Colorize GreyScale Image')
+parser.add_argument('--input', help='Path to image.', required=True)
+args = parser.parse_args()
+
+if args.input==None:
+    print('Please give the input greyscale image name.')
+    exit()
+
+# Read the input image
+frame = cv.imread(args.input)
+
+# Specify the paths for the 2 model files
+protoFile = "./models/colorization_deploy_v2.prototxt"
+weightsFile = "./models/colorization_release_v2.caffemodel"
+#weightsFile = "./models/colorization_release_v2_norebal.caffemodel"
+
+# Load the cluster centers
+pts_in_hull = np.load('./pts_in_hull.npy')
+
+# Read the network into Memory
+net = cv.dnn.readNetFromCaffe(protoFile, weightsFile)
+
+# populate cluster centers as 1x1 convolution kernel
+pts_in_hull = pts_in_hull.transpose().reshape(2, 313, 1, 1)
+net.getLayer(net.getLayerId('class8_ab')).blobs = [pts_in_hull.astype(np.float32)]
+net.getLayer(net.getLayerId('conv8_313_rh')).blobs = [np.full([1, 313], 2.606, np.float32)]
+
+#from opencv sample
+W_in = 224
+H_in = 224
+
+img_rgb = (frame[:,:,[2, 1, 0]] * 1.0 / 255).astype(np.float32)
+img_lab = cv.cvtColor(img_rgb, cv.COLOR_RGB2Lab)
+img_l = img_lab[:,:,0] # pull out L channel
+
+# resize lightness channel to network input size
+img_l_rs = cv.resize(img_l, (W_in, H_in)) #
+img_l_rs -= 50 # subtract 50 for mean-centering
+
+net.setInput(cv.dnn.blobFromImage(img_l_rs))
+ab_dec = net.forward()[0,:,:,:].transpose((1,2,0)) # this is our result
+
+(H_orig,W_orig) = img_rgb.shape[:2] # original image size
+ab_dec_us = cv.resize(ab_dec, (W_orig, H_orig))
+img_lab_out = np.concatenate((img_l[:,:,np.newaxis],ab_dec_us),axis=2) # concatenate with original image L
+img_bgr_out = np.clip(cv.cvtColor(img_lab_out, cv.COLOR_Lab2BGR), 0, 1)
+
+outputFile = args.input[:-4]+'_colorized.png'
+cv.imwrite(outputFile, img_bgr_out*255)
+print('Colorized image saved as '+outputFile)
+print('Done !!!')
+

Colorization/colorizeVideo.cpp

@@ -0,0 +1,135 @@
+// This code is written by Sunita Nayak at BigVision LLC. It is based on the OpenCV project.
+// It is subject to the license terms in the LICENSE file found in this distribution and at http://opencv.org/license.html
+
+// Usage example: ./colorizeVideo.out data/greyscaleVideo.mov
+
+#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)
+{
+
+    string videoFileName;
+    // Take arguments from commmand line
+    if (argc < 2)
+    {
+        cout << "Please input the greyscale video filename." << endl;
+        cout << "Usage example: ./colorizeVideo.out greyscaleVideo.mov" << endl;
+        return 1;
+    }
+    videoFileName = argv[1];
+
+    cv::VideoCapture cap(videoFileName);
+    if (!cap.isOpened())
+    {
+        cerr << "Unable to open video" << endl;
+        return 1;
+    }
+
+    string protoFile = "./models/colorization_deploy_v2.prototxt";
+    string weightsFile = "./models/colorization_release_v2.caffemodel";
+    //string weightsFile = "./models/colorization_release_v2_norebal.caffemodel";
+
+    Mat frame, frameCopy;
+    int frameWidth = cap.get(CAP_PROP_FRAME_WIDTH);
+    int frameHeight = cap.get(CAP_PROP_FRAME_HEIGHT);
+
+    string str = videoFileName;
+    str.replace(str.end()-4, str.end(), "");
+    string outVideoFileName = str+"_colorized.avi";
+    VideoWriter video(outVideoFileName, VideoWriter::fourcc('M','J','P','G'), 60, Size(frameWidth,frameHeight));
+
+    // fixed input size for the pretrained network
+    const int W_in = 224;
+    const int H_in = 224;
+    Net net = dnn::readNetFromCaffe(protoFile, weightsFile);
+
+    // 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)));
+
+    for(;;)
+    {
+
+        cap >> frame;
+        if (frame.empty()) break;
+
+        frameCopy = frame.clone();
+
+        // extract L channel and subtract mean
+        Mat lab, L, input;
+        frame.convertTo(frame, CV_32F, 1.0/255);
+        cvtColor(frame, 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, frame.size());
+        resize(b, b, frame.size());
+
+        // merge, and convert back to BGR
+        Mat coloredFrame, chn[] = {L, a, b};
+        merge(chn, 3, lab);
+        cvtColor(lab, coloredFrame, COLOR_Lab2BGR);
+
+        coloredFrame = coloredFrame*255;
+        coloredFrame.convertTo(coloredFrame, CV_8U);
+        video.write(coloredFrame);
+
+    }
+    cout << "Colorized video saved as " << outVideoFileName << endl << "Done !!!" << endl;
+    cap.release();
+    video.release();
+
+    return 0;
+}