Add learning-based super-resolution module: final phase

modules/README.md

@@ -22,7 +22,7 @@ $ cmake -D OPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules -D BUILD_opencv_<r
 
 - **datasets**: Datasets Reader -- Code for reading existing computer vision databases and samples of using the readers to train, test and run using that dataset's data.
 
-- **dnn_objdetect**: Object Detection using CNNs -- Implements compact CNN Model for object detection. Trained using Caffe but uses opencv_dnn modeule.
+- **dnn_objdetect**: Object Detection using CNNs -- Implements compact CNN Model for object detection. Trained using Caffe but uses opencv_dnn module.
 
 - **dnn_superres**: Superresolution using CNNs -- Contains four trained convolutional neural networks to upscale images.
 

modules/datasets/include/opencv2/datasets/dataset.hpp

@@ -435,6 +435,53 @@ Implements loading dataset:
 ./opencv/build/bin/example_datasets_slam_tumindoor -p=/home/user/path_to_unpacked_folders/
 ~~~
 
+@defgroup datasets_sr Super Resolution
+
+### The Berkeley Segmentation Dataset and Benchmark
+
+Implements loading dataset:
+
+"The Berkeley Segmentation Dataset and Benchmark": <https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/segbench/>
+
+Usage:
+-# From link above download `BSDS300-images.tgz`.
+-# Unpack.
+-# To load data run:
+~~~
+./opencv/build/bin/example_datasets_sr_bsds -p=/home/user/path_to_unpacked_folder/
+~~~
+
+### DIV2K dataset: DIVerse 2K
+
+Implements loading dataset:
+
+"DIV2K dataset: DIVerse 2K": <https://data.vision.ee.ethz.ch/cvl/DIV2K/>
+
+Usage:
+-# From link above download 'Train data (HR images)' or any other of the dataset files.
+-# Unpack.
+-# To load data run:
+~~~
+./opencv/build/bin/example_datasets_sr_div2k -p=/home/user/path_to_unpacked_folder/folder_containing_the_images/
+~~~
+
+### The General-100 Dataset
+
+Implements loading dataset:
+
+"General-100 dataset contains 100 bmp-format images (with no compression).
+We used this dataset in our FSRCNN ECCV 2016 paper. The size of these 100 images ranges from 710 x 704 (large) to 131 x 112 (small).
+They are all of good quality with clear edges but fewer smooth regions (e.g., sky and ocean), thus are very suitable for the super-resolution training.":
+<http://mmlab.ie.cuhk.edu.hk/projects/FSRCNN.html>
+
+Usage:
+-# From link above download `General-100.zip`.
+-# Unpack.
+-# To load data run:
+~~~
+./opencv/build/bin/example_datasets_sr_general100 -p=/home/user/path_to_unpacked_folder/
+~~~
+
 @defgroup datasets_tr Text Recognition
 
 ### The Chars74K Dataset

modules/datasets/include/opencv2/datasets/sr_bsds.hpp

@@ -0,0 +1,41 @@
+// 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.
+
+#ifndef OPENCV_DATASETS_SR_BSDS_HPP
+#define OPENCV_DATASETS_SR_BSDS_HPP
+
+#include <string>
+#include <vector>
+
+#include "opencv2/datasets/dataset.hpp"
+
+#include <opencv2/core.hpp>
+
+namespace cv
+{
+namespace datasets
+{
+
+//! @addtogroup datasets_sr
+//! @{
+
+struct SR_bsdsObj : public Object
+{
+    std::string imageName;
+};
+
+class CV_EXPORTS SR_bsds : public Dataset
+{
+public:
+    virtual void load(const std::string &path) CV_OVERRIDE = 0;
+
+    static Ptr<SR_bsds> create();
+};
+
+//! @}
+
+}
+}
+
+#endif

modules/datasets/include/opencv2/datasets/sr_div2k.hpp

@@ -0,0 +1,41 @@
+// 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.
+
+#ifndef OPENCV_DATASETS_SR_DIV2K_HPP
+#define OPENCV_DATASETS_SR_DIV2K_HPP
+
+#include <string>
+#include <vector>
+
+#include "opencv2/datasets/dataset.hpp"
+
+#include <opencv2/core.hpp>
+
+namespace cv
+{
+namespace datasets
+{
+
+//! @addtogroup datasets_sr
+//! @{
+
+struct SR_div2kObj : public Object
+{
+    std::string imageName;
+};
+
+class CV_EXPORTS SR_div2k : public Dataset
+{
+public:
+    virtual void load(const std::string &path) CV_OVERRIDE = 0;
+
+    static Ptr<SR_div2k> create();
+};
+
+//! @}
+
+}
+}
+
+#endif

modules/datasets/include/opencv2/datasets/sr_general100.hpp

@@ -0,0 +1,41 @@
+// 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.
+
+#ifndef OPENCV_DATASETS_SR_GENERAL100_HPP
+#define OPENCV_DATASETS_SR_GENERAL100_HPP
+
+#include <string>
+#include <vector>
+
+#include "opencv2/datasets/dataset.hpp"
+
+#include <opencv2/core.hpp>
+
+namespace cv
+{
+namespace datasets
+{
+
+//! @addtogroup datasets_sr
+//! @{
+
+struct SR_general100Obj : public Object
+{
+    std::string imageName;
+};
+
+class CV_EXPORTS SR_general100 : public Dataset
+{
+public:
+    virtual void load(const std::string &path) CV_OVERRIDE = 0;
+
+    static Ptr<SR_general100> create();
+};
+
+//! @}
+
+}
+}
+
+#endif

modules/datasets/samples/sr_bsds.cpp

@@ -0,0 +1,50 @@
+// 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/datasets/sr_bsds.hpp"
+
+#include <opencv2/core.hpp>
+
+#include <cstdio>
+
+#include <string>
+#include <vector>
+
+using namespace std;
+using namespace cv;
+using namespace cv::datasets;
+
+int main(int argc, char *argv[])
+{
+    const char *keys =
+            "{ help h usage ? |    | show this message }"
+            "{ path p         |true| path to dataset (images, iids_train.txt, iids_test.txt) }";
+    CommandLineParser parser(argc, argv, keys);
+    string path(parser.get<string>("path"));
+    if (parser.has("help") || path=="true")
+    {
+        parser.printMessage();
+        return -1;
+    }
+
+    Ptr<SR_bsds> dataset = SR_bsds::create();
+    dataset->load(path);
+
+    // ***************
+    // Dataset train & test contain names of appropriate images.
+    // For example, let's output full path & name for first train and test images.
+    // And dataset sizes.
+    printf("train size: %u\n", (unsigned int)dataset->getTrain().size());
+    printf("test size: %u\n", (unsigned int)dataset->getTest().size());
+
+    SR_bsdsObj *example1 = static_cast<SR_bsdsObj *>(dataset->getTrain()[0].get());
+    string fullPath(path + "images/train/" + example1->imageName + ".jpg");
+    printf("first train image: %s\n", fullPath.c_str());
+
+    SR_bsdsObj *example2 = static_cast<SR_bsdsObj *>(dataset->getTest()[0].get());
+    fullPath = path + "images/test/" + example2->imageName + ".jpg";
+    printf("first test image: %s\n", fullPath.c_str());
+
+    return 0;
+}

modules/datasets/samples/sr_div2k.cpp

@@ -0,0 +1,47 @@
+// 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/datasets/sr_div2k.hpp"
+
+#include <opencv2/core.hpp>
+
+#include <cstdio>
+
+#include <string>
+#include <vector>
+
+using namespace std;
+using namespace cv;
+using namespace cv::datasets;
+
+int main(int argc, char *argv[])
+{
+    const char *keys =
+            "{ help h usage ? |    | show this message }"
+            "{ path p         |true| path to dataset (Div2k dataset folder containing the images) }";
+    CommandLineParser parser(argc, argv, keys);
+    string path(parser.get<string>("path"));
+    if (parser.has("help") || path=="true")
+    {
+        parser.printMessage();
+        return -1;
+    }
+
+    Ptr<SR_div2k> dataset = SR_div2k::create();
+    dataset->load(path);
+
+    // ***************
+    // Dataset contains all images.
+    // For example, let's output dataset size; first image name; and second image full path.
+    printf("dataset size: %u\n", (unsigned int)dataset->getTrain().size());
+
+    SR_div2kObj *example = static_cast<SR_div2kObj *>(dataset->getTrain()[0].get());
+    printf("first image name: %s\n", example->imageName.c_str());
+
+    SR_div2kObj *example2 = static_cast<SR_div2kObj *>(dataset->getTrain()[1].get());
+    string fullPath = path + "/" + example2->imageName.c_str();
+    printf("second image full path: %s\n", fullPath.c_str());
+
+    return 0;
+}

modules/datasets/samples/sr_general100.cpp

@@ -0,0 +1,47 @@
+// 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/datasets/sr_general100.hpp"
+
+#include <opencv2/core.hpp>
+
+#include <cstdio>
+
+#include <string>
+#include <vector>
+
+using namespace std;
+using namespace cv;
+using namespace cv::datasets;
+
+int main(int argc, char *argv[])
+{
+    const char *keys =
+            "{ help h usage ? |    | show this message }"
+            "{ path p         |true| path to dataset (General-100 dataset folder) }";
+    CommandLineParser parser(argc, argv, keys);
+    string path(parser.get<string>("path"));
+    if (parser.has("help") || path=="true")
+    {
+        parser.printMessage();
+        return -1;
+    }
+
+    Ptr<SR_general100> dataset = SR_general100::create();
+    dataset->load(path);
+
+    // ***************
+    // Dataset contains all images.
+    // For example, let's output dataset size; first image name; and second image full path.
+    printf("dataset size: %u\n", (unsigned int)dataset->getTrain().size());
+
+    SR_general100Obj *example = static_cast<SR_general100Obj *>(dataset->getTrain()[0].get());
+    printf("first image name: %s\n", example->imageName.c_str());
+
+    SR_general100Obj *example2 = static_cast<SR_general100Obj *>(dataset->getTrain()[1].get());
+    string fullPath = path + "/" + example2->imageName.c_str();
+    printf("second image full path: %s\n", fullPath.c_str());
+
+    return 0;
+}