This repository has been archived on 2019-09-17. You can view files and clone it, but cannot push or open issues or pull requests.
Files
research-project/src/fmri/InputLayerVisualisation.cpp
2018-04-06 13:23:01 +02:00

89 lines
2.5 KiB
C++

#include <caffe/util/math_functions.hpp>
#include <GL/glu.h>
#include <opencv2/core/mat.hpp>
#include <opencv2/core.hpp>
#include "InputLayerVisualisation.hpp"
#include "Range.hpp"
#include "glutils.hpp"
using namespace fmri;
using namespace std;
/**
* Combine an arbitrary number of channels into an RGB image.
*
* If there are less than 3 channels, the first channel is repeated. This
* results in greyscale images for single-channel images. Any channels after
* the third are ignored.
*
* @param data Layer data to generate an image for.
* @return A normalized RGB image, stored in a vector.
*/
static vector<float> getRGBImage(const LayerData &data)
{
vector<cv::Mat> channels;
const int numPixels = data.shape()[2] * data.shape()[3];
for (auto i : Range(3)) {
if (i >= data.shape()[1]) {
channels.push_back(channels[0]);
}
cv::Mat channel(data.shape()[3], data.shape()[2], CV_32FC1);
copy(data.data() + i * numPixels, data.data() + (i + 1) * numPixels, channel.begin<float>());
channels.push_back(channel);
}
swap(channels[0], channels[2]);
cv::Mat outImage;
cv::merge(channels, outImage);
outImage = outImage.reshape(1);
vector<float> final(outImage.begin<float>(), outImage.end<float>());
rescale(final.begin(), final.end(), 0.f, 1.f);
return final;
}
InputLayerVisualisation::InputLayerVisualisation(const LayerData &data)
{
CHECK_EQ(data.shape().size(), 4) << "Should be image-like-layer." << endl;
auto imageData = getRGBImage(data);
const auto images = data.shape()[0], channels = data.shape()[1], width = data.shape()[2], height = data.shape()[3];
CHECK_EQ(images, 1) << "Should be single image" << endl;
targetWidth = width / 5.f;
targetHeight = width / 5.f;
nodePositions_ = {0, targetHeight / 2, targetWidth / -2};
for (auto i : Range(3, 3 * channels)) {
nodePositions_.push_back(nodePositions_[i % 3]);
}
texture.configure(GL_TEXTURE_2D);
gluBuild2DMipmaps(GL_TEXTURE_2D, GL_RGB, width, height, GL_RGB, GL_FLOAT, imageData.data());
}
void InputLayerVisualisation::draw(float)
{
const float vertices[] = {
0, 0, 0,
0, 0, -targetWidth,
0, targetHeight, -targetWidth,
0, targetHeight, 0,
};
const float texCoords[] = {
0, 1,
1, 1,
1, 0,
0, 0,
};
float alpha = getAlpha();
drawImageTiles(4, vertices, texCoords, texture, alpha);
}