void init(char* image_path) {
srand(time(0));
int image_tex = texture_load(image_path);
if(!image_tex) {
fprintf(stderr, "texture load failed\n");
exit(1);
}
// get the target image
base_image = image_from_tex(image_tex);
population_size = INIT_POP_SIZE;
pop_select = population_size * POP_SELECT_FACTOR;
// create initial population
fprintf(stderr, "seeding initial population...");
population = s_malloc(population_size * sizeof(t_image*));
for(int i = 0; i < population_size; i++) {
population[i] = random_image(base_image->width, base_image->height);
}
qsort(population, population_size, sizeof(t_image*), image_fitness_cmp);
best_image = image_copy(population[0]);
last_best = image_fitness(population[0]);
fprintf(stderr, "done\n");
}
void InvertMaskCommand::onExecute(Context* context)
{
bool hasMask = false;
{
const ActiveDocumentReader document(context);
if (document->isMaskVisible())
hasMask = true;
}
// without mask?...
if (!hasMask) {
// so we select all
Command* mask_all_cmd =
CommandsModule::instance()->getCommandByName(CommandId::MaskAll);
context->executeCommand(mask_all_cmd);
}
// invert the current mask
else {
ActiveDocumentWriter document(context);
Sprite* sprite(document->getSprite());
UndoTransaction undo(document, "Mask Invert", undo::DoesntModifyDocument);
if (undo.isEnabled())
undo.pushUndoer(new undoers::SetMask(undo.getObjects(), document));
/* create a new mask */
UniquePtr<Mask> mask(new Mask());
/* select all the sprite area */
mask->replace(0, 0, sprite->getWidth(), sprite->getHeight());
/* remove in the new mask the current sprite marked region */
const gfx::Rect& maskBounds = document->getMask()->getBounds();
image_rectfill(mask->getBitmap(),
maskBounds.x, maskBounds.y,
maskBounds.x + maskBounds.w-1,
maskBounds.y + maskBounds.h-1, 0);
// Invert the current mask in the sprite
document->getMask()->invert();
if (document->getMask()->getBitmap()) {
// Copy the inverted region in the new mask
image_copy(mask->getBitmap(),
document->getMask()->getBitmap(),
document->getMask()->getBounds().x,
document->getMask()->getBounds().y);
}
// We need only need the area inside the sprite
mask->intersect(0, 0, sprite->getWidth(), sprite->getHeight());
// Set the new mask
document->setMask(mask);
undo.commit();
document->generateMaskBoundaries();
update_screen_for_document(document);
}
}
image* image_clone(image* src)
{
if(!src)
return NULL;
image* img = image_create(src->width, src->height, src->n_channels, src->type);
image_copy(src, img);
return img;
}
//Main function
int main(int argc, char* argv[])
{
if (argc != 2) {
std::cout << "Usage: colorcanny image" << std::endl;
return(0);
}
//CImg for output
cimg_library::CImg <unsigned char> image(argv[1]);
cimg_library::CImg <unsigned char> image_copy(image.width(), image.height(), image.depth(), image.spectrum());
cimg_library::CImg <unsigned char> image_qwaf(image.width(), image.height(), image.depth(), image.spectrum());
cimg_library::CImg <unsigned char> sobel(image.width(), image.height(), image.depth(), image.spectrum());
cimg_library::CImg <unsigned char> sobel_dir(image.width(), image.height(), image.depth(), image.spectrum());
cimg_library::CImg <unsigned char> nms_image(image.width(), image.height(), image.depth(), image.spectrum());
cimg_library::CImg <unsigned char> nms_image_dir(image.width(), image.height(), image.depth(), image.spectrum());
//Do a copy for testing
for (int x=0; x<image.width(); x++) {
for (int y=0; y<image.height(); y++) {
unsigned char col[] = {image(x,y,0,0), image(x,y,0,1), image(x,y,0,2)};
image_copy.draw_point(x,y,col);
}
}
applyQWAF(image, image_qwaf);
image_qwaf.save("image_qwaf.bmp");
//Copy to see if everything is working properly
image_copy.save("image_copy.bmp");
//Apply a gaussian blur
image.blur(1.6);
//Vectors
std::vector<unsigned char> magnitude;
std::vector<unsigned char> nms;
std::vector<float> direction;
//Apply the sobel operator to the image and then non-maximum supression
sobelOperator(image, magnitude, direction);
NMS(nms, magnitude, direction, image.width(), image.height());
//Write the magnitude and direction out to images
writeMagnitude(sobel, magnitude);
writeMagnitudeDirection(sobel_dir, magnitude, direction);
writeMagnitude(nms_image, nms);
writeMagnitudeDirection(nms_image_dir, nms, direction);
//Write the images out to files
sobel.save("sobel.bmp");
sobel_dir.save("sobel_direction.bmp");
nms_image.save("non_maxima.bmp");
nms_image_dir.save("non_maxima_dir.bmp");
//Return successful
return 0;
}
Image* image_crop(const Image* image, int x, int y, int w, int h, int bgcolor)
{
if (w < 1) throw std::invalid_argument("image_crop: Width is less than 1");
if (h < 1) throw std::invalid_argument("image_crop: Height is less than 1");
Image* trim = Image::create(image->getPixelFormat(), w, h);
trim->mask_color = image->mask_color;
image_clear(trim, bgcolor);
image_copy(trim, image, -x, -y);
return trim;
}
void UndoTransaction::flipImageWithMask(Image* image, const Mask* mask, raster::algorithm::FlipType flipType, int bgcolor)
{
UniquePtr<Image> flippedImage((Image::createCopy(image)));
// Flip the portion of the bitmap.
raster::algorithm::flip_image_with_mask(flippedImage, mask, flipType, bgcolor);
// Insert the undo operation.
if (isEnabled()) {
UniquePtr<Dirty> dirty((new Dirty(image, flippedImage)));
dirty->saveImagePixels(image);
m_undoHistory->pushUndoer(new undoers::DirtyArea(m_undoHistory->getObjects(), image, dirty));
}
// Copy the flipped image into the image specified as argument.
image_copy(image, flippedImage, 0, 0);
}
void vgCopyImage(VGImage dst, VGint dx, VGint dy,
VGImage src, VGint sx, VGint sy,
VGint width, VGint height,
VGboolean dither)
{
struct vg_context *ctx = vg_current_context();
if (src == VG_INVALID_HANDLE || dst == VG_INVALID_HANDLE) {
vg_set_error(ctx, VG_BAD_HANDLE_ERROR);
return;
}
if (width <= 0 || height <= 0) {
vg_set_error(ctx, VG_ILLEGAL_ARGUMENT_ERROR);
return;
}
vg_validate_state(ctx);
image_copy((struct vg_image*)dst, dx, dy,
(struct vg_image*)src, sx, sy,
width, height, dither);
}
void display() {
if(!done && image_match(best_image, base_image)) {
done = 1;
}
if(!paused && !done && generations < MAX_GENS) {
float r;
double accum_fitness = 0;
fprintf(stderr, "evolving...");
// current best is start of sorted list
t_image** new_pop = s_malloc(population_size * sizeof(t_image*));
// always add the best solution to survivors
new_pop[0] = image_copy(best_image);
// get more survivors using roulette wheel selection
for(int i = 1; i < pop_select; i++) {
r = rand_float();
for(int j = 0; j < population_size; j++) {
accum_fitness += image_fitness(population[j]);
if(accum_fitness >= r) {
new_pop[i] = image_copy(population[j]);
break;
}
}
accum_fitness = 0;
}
// get a normalised fitness distribution for the survivors
double survivor_fit[pop_select];
double survivor_sum_fit = 0;
for(int i = 0; i < pop_select; i++) {
survivor_fit[i] = image_fitness(new_pop[i]);
survivor_sum_fit += survivor_fit[i];
}
for(int i = 0; i < pop_select; i++) {
survivor_fit[i] /= survivor_sum_fit;
}
// fill rest of population with children
int i = pop_select;
while(i < population_size) {
// 2 random parents from survivors
t_image* parents[N_PARENTS] = {0};
for(int j = 0; j < N_PARENTS; j++) {
r = rand_float();
for(int k = 0; k < pop_select; k++) {
accum_fitness += survivor_fit[k];
if(accum_fitness >= r) {
parents[j] = new_pop[k];
break;
}
}
accum_fitness = 0;
}
int p = 0;
t_image* children[N_CHILDREN] = {0};
// seed children with parent data
for(int c = 0; c < N_CHILDREN; c++) {
children[c] = image_copy(parents[p]);
/* NOTE: can get away with this instead of mod as parents is 2,
but if we were to use more have to change it */
p = !p;
}
for(int x = 0; x < base_image->width; x++) {
for(int y = 0; y < base_image->height; y++) {
// crossover
for(int c = 0; c < N_CHILDREN; c++) {
/*
// use 3 bits of c to get the 8 combinations for crossover
p = (c & (1 << 0)) ? 1 : 0;
children[c]->pix[x][y].r = parents[p]->pix[x][y].r;
p = (c & (1 << 1)) ? 1 : 0;
children[c]->pix[x][y].g = parents[p]->pix[x][y].g;
p = (c & (1 << 2)) ? 1 : 0;
children[c]->pix[x][y].b = parents[p]->pix[x][y].b;
*/
average_rgb(x, y, parents, children[c]);
}
// mutation
for(int c = 0; c < N_CHILDREN; c++) {
if(rand_float() <= MUTATION_RATE)
mutate_rgb(&children[c]->pix[x][y]);
}
}
}
// add to new population
for(int c = 0; c < N_CHILDREN; c++) {
// this child is 'born'
if(i < population_size && rand_float() <= CROSSOVER_RATE) {
new_pop[i++] = children[c];
// you are dead to me!
} else {
free_image(children[c]);
}
}
}
// deallocate last generation
for(int i = 0; i < population_size; i++) {
free_image(population[i]);
}
free(population);
// set new population as current
population = new_pop;
// determine new best member and compare to old best
qsort(population, population_size, sizeof(t_image*), image_fitness_cmp);
double current_fit = image_fitness(population[0]);
if(current_fit < last_best) {
free_image(best_image);
best_image = image_copy(population[0]);
last_best = current_fit;
}
generations++;
fprintf(stderr, "done | gen %d | f %.1f\n", generations, current_fit);
}
// draw the best image
glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT);
glPolygonMode(GL_FRONT_AND_BACK, GL_FILL);
glMatrixMode(GL_PROJECTION);
glLoadIdentity();
glOrtho(0, base_image->width, base_image->height, 0, 0, 1);
glMatrixMode(GL_MODELVIEW);
glBegin(GL_POINTS);
for(int x = 0; x < best_image->width; x++) {
for(int y = 0; y < best_image->height; y++) {
glColor3f(best_image->pix[x][y].r/255.0, best_image->pix[x][y].g/255.0,
best_image->pix[x][y].b/255.0);
glVertex2f(x + 0.5f, y + 0.5f);
}
}
glEnd();
glutSwapBuffers();
}
/**
* Run the optical flow on a new image frame
* @param[in] *opticflow The opticalflow structure that keeps track of previous images
* @param[in] *state The state of the drone
* @param[in] *img The image frame to calculate the optical flow from
* @param[out] *result The optical flow result
*/
void opticflow_calc_frame(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img, struct opticflow_result_t *result)
{
// variables for size_divergence:
float size_divergence; int n_samples;
// variables for linear flow fit:
float error_threshold; int n_iterations_RANSAC, n_samples_RANSAC, success_fit; struct linear_flow_fit_info fit_info;
// Update FPS for information
result->fps = 1 / (timeval_diff(&opticflow->prev_timestamp, &img->ts) / 1000.);
memcpy(&opticflow->prev_timestamp, &img->ts, sizeof(struct timeval));
// Convert image to grayscale
image_to_grayscale(img, &opticflow->img_gray);
// Copy to previous image if not set
if (!opticflow->got_first_img) {
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
opticflow->got_first_img = TRUE;
}
// *************************************************************************************
// Corner detection
// *************************************************************************************
// FAST corner detection (TODO: non fixed threshold)
struct point_t *corners = fast9_detect(img, opticflow->fast9_threshold, opticflow->fast9_min_distance,
20, 20, &result->corner_cnt);
// Adaptive threshold
if (opticflow->fast9_adaptive) {
// Decrease and increase the threshold based on previous values
if (result->corner_cnt < 40 && opticflow->fast9_threshold > 5) {
opticflow->fast9_threshold--;
} else if (result->corner_cnt > 50 && opticflow->fast9_threshold < 60) {
opticflow->fast9_threshold++;
}
}
#if OPTICFLOW_DEBUG && OPTICFLOW_SHOW_CORNERS
image_show_points(img, corners, result->corner_cnt);
#endif
// Check if we found some corners to track
if (result->corner_cnt < 1) {
free(corners);
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
return;
}
// *************************************************************************************
// Corner Tracking
// *************************************************************************************
// Execute a Lucas Kanade optical flow
result->tracked_cnt = result->corner_cnt;
struct flow_t *vectors = opticFlowLK(&opticflow->img_gray, &opticflow->prev_img_gray, corners, &result->tracked_cnt,
opticflow->window_size / 2, opticflow->subpixel_factor, opticflow->max_iterations,
opticflow->threshold_vec, opticflow->max_track_corners);
#if OPTICFLOW_DEBUG && OPTICFLOW_SHOW_FLOW
image_show_flow(img, vectors, result->tracked_cnt, opticflow->subpixel_factor);
#endif
// Estimate size divergence:
if (SIZE_DIV) {
n_samples = 100;
size_divergence = get_size_divergence(vectors, result->tracked_cnt, n_samples);
result->div_size = size_divergence;
} else {
result->div_size = 0.0f;
}
if (LINEAR_FIT) {
// Linear flow fit (normally derotation should be performed before):
error_threshold = 10.0f;
n_iterations_RANSAC = 20;
n_samples_RANSAC = 5;
success_fit = analyze_linear_flow_field(vectors, result->tracked_cnt, error_threshold, n_iterations_RANSAC, n_samples_RANSAC, img->w, img->h, &fit_info);
if (!success_fit) {
fit_info.divergence = 0.0f;
fit_info.surface_roughness = 0.0f;
}
result->divergence = fit_info.divergence;
result->surface_roughness = fit_info.surface_roughness;
} else {
result->divergence = 0.0f;
result->surface_roughness = 0.0f;
}
// Get the median flow
qsort(vectors, result->tracked_cnt, sizeof(struct flow_t), cmp_flow);
if (result->tracked_cnt == 0) {
// We got no flow
result->flow_x = 0;
result->flow_y = 0;
} else if (result->tracked_cnt > 3) {
// Take the average of the 3 median points
result->flow_x = vectors[result->tracked_cnt / 2 - 1].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2 - 1].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2 + 1].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2 + 1].flow_y;
result->flow_x /= 3;
result->flow_y /= 3;
} else {
// Take the median point
result->flow_x = vectors[result->tracked_cnt / 2].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2].flow_y;
}
// Flow Derotation
float diff_flow_x = (state->phi - opticflow->prev_phi) * img->w / OPTICFLOW_FOV_W;
float diff_flow_y = (state->theta - opticflow->prev_theta) * img->h / OPTICFLOW_FOV_H;
result->flow_der_x = result->flow_x - diff_flow_x * opticflow->subpixel_factor;
result->flow_der_y = result->flow_y - diff_flow_y * opticflow->subpixel_factor;
opticflow->prev_phi = state->phi;
opticflow->prev_theta = state->theta;
// Velocity calculation
result->vel_x = -result->flow_der_x * result->fps * state->agl / opticflow->subpixel_factor * img->w / OPTICFLOW_FX;
result->vel_y = result->flow_der_y * result->fps * state->agl / opticflow->subpixel_factor * img->h / OPTICFLOW_FY;
// *************************************************************************************
// Next Loop Preparation
// *************************************************************************************
free(corners);
free(vectors);
image_switch(&opticflow->img_gray, &opticflow->prev_img_gray);
}
bool FliFormat::onLoad(FileOp* fop)
{
#define SETPAL() \
do { \
for (c=0; c<256; c++) { \
pal->setEntry(c, _rgba(cmap[c*3], \
cmap[c*3+1], \
cmap[c*3+2], 255)); \
} \
pal->setFrame(frpos_out); \
sprite->setPalette(pal, true); \
} while (0)
unsigned char cmap[768];
unsigned char omap[768];
s_fli_header fli_header;
Image *bmp, *old, *image;
Sprite *sprite;
LayerImage *layer;
Palette *pal;
int c, w, h;
FrameNumber frpos_in;
FrameNumber frpos_out;
int index = 0;
Cel *cel;
/* open the file to read in binary mode */
FileHandle f(fop->filename.c_str(), "rb");
fli_read_header(f, &fli_header);
fseek(f, 128, SEEK_SET);
if (fli_header.magic == NO_HEADER) {
fop_error(fop, "The file doesn't have a FLIC header\n");
return false;
}
/* size by frame */
w = fli_header.width;
h = fli_header.height;
/* create the bitmaps */
bmp = Image::create(IMAGE_INDEXED, w, h);
old = Image::create(IMAGE_INDEXED, w, h);
pal = new Palette(FrameNumber(0), 256);
if (!bmp || !old || !pal) {
fop_error(fop, "Not enough memory.\n");
if (bmp) image_free(bmp);
if (old) image_free(old);
if (pal) delete pal;
return false;
}
// Create the image
sprite = new Sprite(IMAGE_INDEXED, w, h, 256);
layer = new LayerImage(sprite);
sprite->getFolder()->addLayer(layer);
layer->configureAsBackground();
// Set frames and speed
sprite->setTotalFrames(FrameNumber(fli_header.frames));
sprite->setDurationForAllFrames(fli_header.speed);
/* write frame by frame */
for (frpos_in = frpos_out = FrameNumber(0);
frpos_in < sprite->getTotalFrames();
++frpos_in) {
/* read the frame */
fli_read_frame(f, &fli_header,
(unsigned char *)old->dat, omap,
(unsigned char *)bmp->dat, cmap);
/* first frame, or the frames changes, or the palette changes */
if ((frpos_in == 0) ||
(image_count_diff(old, bmp))
#ifndef USE_LINK /* TODO this should be configurable through a check-box */
|| (memcmp(omap, cmap, 768) != 0)
#endif
) {
/* the image changes? */
if (frpos_in != 0)
++frpos_out;
/* add the new frame */
image = Image::createCopy(bmp);
if (!image) {
fop_error(fop, "Not enough memory\n");
break;
}
index = sprite->getStock()->addImage(image);
if (index < 0) {
image_free(image);
fop_error(fop, "Not enough memory\n");
break;
}
cel = new Cel(frpos_out, index);
layer->addCel(cel);
/* first frame or the palette changes */
if ((frpos_in == 0) || (memcmp(omap, cmap, 768) != 0))
SETPAL();
}
#ifdef USE_LINK
/* the palette changes */
else if (memcmp(omap, cmap, 768) != 0) {
++frpos_out;
SETPAL();
// Add link
cel = new Cel(frpos_out, index);
layer_add_cel(layer, cel);
}
#endif
// The palette and the image don't change: add duration to the last added frame
else {
sprite->setFrameDuration(frpos_out,
sprite->getFrameDuration(frpos_out)+fli_header.speed);
}
/* update the old image and color-map to the new ones to compare later */
image_copy(old, bmp, 0, 0);
memcpy(omap, cmap, 768);
/* update progress */
fop_progress(fop, (float)(frpos_in+1) / (float)(sprite->getTotalFrames()));
if (fop_is_stop(fop))
break;
/* just one frame? */
if (fop->oneframe)
break;
}
// Update number of frames
sprite->setTotalFrames(frpos_out.next());
// Destroy the bitmaps
image_free(bmp);
image_free(old);
delete pal;
fop->document = new Document(sprite);
return true;
}
void histogram_equalize_rgb(void *src_pixels, void *dst_pixels, size_t width, size_t height, size_t stride) {
image_copy(src_pixels, dst_pixels, height, stride);
histogram_equalize_channel(src_pixels, dst_pixels, width, height, stride, RED);
histogram_equalize_channel(src_pixels, dst_pixels, width, height, stride, GREEN);
histogram_equalize_channel(src_pixels, dst_pixels, width, height, stride, BLUE);
}
int main(int argc, char* argv[])
{
printf("[i] Start...\n");
char file_name[] = "test.bmp";
char* filename=file_name;
if(argc >= 2) {
filename = argv[1];
}
printf("[i] file: %s\n", filename);
image* img = image_create(320, 240, 3, CV_DEPTH_8U);
if(!img) {
printf("[!] Error: image_create()\n");
return -1;
}
image_delete(&img);
// test image loading
image* img2 = image_load(filename);
printf("[i] image size: %dx%dx%d (%d)\n", img2->width, img2->height, img2->n_channels, img2->size);
image_save(img2, "test2_load_save.bmp");
printf("[i] == Tests == \n");
#if 1
// copy
printf("[i] image_copy \n");
img = image_create(img2->width, img2->height, img2->n_channels, CV_DEPTH_8U);
image_copy(img2, img);
image_save(img, "test2_copy.bmp");
// test convert image to grayscale
printf("[i] image_convert_color \n");
image* img_gray = image_create(img2->width, img2->height, 1, CV_DEPTH_8U);
gettimeofday(&t0, NULL);
image_convert_color(img2, img_gray, CV_RGB2GRAY);
gettimeofday(&t1, NULL);
image_save(img_gray, "test3_gray.bmp");
// test borders detection
printf("[i] image_thin_borders \n");
image* img_borders = NULL;
gettimeofday(&t2, NULL);
image_thin_borders(img_gray, &img_borders);
gettimeofday(&t3, NULL);
image_save(img_borders, "test4_thin_borders.bmp");
// min-max-loc
printf("[i] image_min_max_loc \n");
double _min, _max;
gettimeofday(&t4, NULL);
image_min_max_loc(img_gray, &_min, &_max, NULL, NULL);
gettimeofday(&t5, NULL);
printf("[i] min=%0.2f max=%0.2f\n", _min, _max);
// threshold
printf("[i] image_threshold \n");
image* img_thr = image_create(img2->width, img2->height, 1, CV_DEPTH_8U);
gettimeofday(&t6, NULL);
image_threshold(img_gray, img_thr, 60);
gettimeofday(&t7, NULL);
image_save(img_thr, "test5_threshold.bmp");
#endif
#if 1
// rotate180
printf("[i] image_rotate180 \n");
image_rotate180(img2);
image_save(img2, "test6_rotate180.bmp");
image_rotate180(img2);
// reflect vertical
printf("[i] image_reflect_vertical \n");
image_reflect_vertical(img2);
image_save(img2, "test7_reflect_vertical.bmp");
image_reflect_vertical(img2);
#endif // rotate180
int colors_count;
cv_point center;
#if 1
// simple resize
printf("[i] image_resize \n");
image *img_small = image_create(160, 120, 3, CV_DEPTH_8U);
gettimeofday(&t8, NULL);
image_resize(img2, img_small);
gettimeofday(&t9, NULL);
image_save(img_small, "test8_resize.bmp");
// image* img_small_gray = image_create(80, 60, 1, CV_DEPTH_8U);
// image_convert_color(img_small, img_small_gray, CV_RGB2GRAY);
// image* img_small_borders = NULL;
// image_thin_borders(img_small_gray, &img_small_borders);
// image_save(img_small_borders, "test_resize_thin_borders.bmp");
#if 1
// k-meanes colorer
printf("[i] image_kmeans_colorer \n");
image* img_kmeanes = image_create(160, 120, 3, CV_DEPTH_8U);
image* img_kmeanes_idx = image_create(160, 120, 1, CV_DEPTH_8U);
#define CLUSTER_COUNT 10
int cluster_count = CLUSTER_COUNT;
cv_color_cluster clusters[CLUSTER_COUNT];
gettimeofday(&t10, NULL);
colors_count = image_kmeans_colorer(img_small, img_kmeanes, img_kmeanes_idx, clusters, cluster_count);
gettimeofday(&t11, NULL);
printf("[i] colors count: %d\n", colors_count);
image_save(img_kmeanes, "test_kmeanscolorer.bmp");
#if 0
print_color_clusters(clusters, CLUSTER_COUNT);
printf("[i] === colors clusters after sort:\n");
sort_color_clusters_by_count(clusters, CLUSTER_COUNT);
print_color_clusters(clusters, CLUSTER_COUNT);
#endif
image_delete(&img_kmeanes);
image_delete(&img_kmeanes_idx);
#endif // k-meanes colorer
image_delete(&img_small);
// image_delete(&img_small_gray);
// image_delete(&img_small_borders);
#endif // simple resize
#if 1
// HSV
printf("[i] image_hsv2rgb \n");
image* img_hsv = image_create(img2->width, img2->height, 3, CV_DEPTH_8U);
image* img_bgr = image_create(img2->width, img2->height, 3, CV_DEPTH_8U);
gettimeofday(&t12, NULL);
image_rgb2hsv(img2, img_hsv);
gettimeofday(&t13, NULL);
image_hsv2rgb(img_hsv, img_bgr);
image_save(img_hsv, "test9_rgb2hsv.bmp");
image_save(img_bgr, "test9_hsv2rgb.bmp");
image_delete(&img_hsv);
image_delete(&img_bgr);
#endif // HSV
#if 1
// hsv colorer
printf("[i] image_hsv_colorer \n");
image* img_hsv_col = image_create(img2->width, img2->height, 3, CV_DEPTH_8U);
image* img_hsv_idx = image_create(img2->width, img2->height, 1, CV_DEPTH_8U);
#define COLORS_COUNT 10
cv_color_cluster clusters2[COLORS_COUNT];
gettimeofday(&t14, NULL);
colors_count = image_hsv_colorer(img2, img_hsv_col, img_hsv_idx, clusters2, COLORS_COUNT);
gettimeofday(&t15, NULL);
printf("[i] colors count: %d\n", colors_count);
image_save(img_hsv_col, "test_hsvcolorer.bmp");
#if 1
print_color_clusters(clusters2, COLORS_COUNT);
printf("[i] === colors clusters after sort:\n");
sort_color_clusters_by_count(clusters2, COLORS_COUNT);
print_color_clusters(clusters2, COLORS_COUNT);
center = get_color_center(clusters2[0].id, img_hsv_idx);
printf("[i] first color center: %03d %03d\n", center.x, center.y);
center = get_color_center(clusters2[1].id, img_hsv_idx);
printf("[i] second color center: %03d %03d\n", center.x, center.y);
center = get_color_center(clusters2[2].id, img_hsv_idx);
printf("[i] third color center: %03d %03d\n", center.x, center.y);
#endif // print_color_clusters
image_delete(&img_hsv_col);
image_delete(&img_hsv_idx);
#endif // hsv colorer
printf("[i] == Performance == \n");
print_performance("image_convert_color", t1, t0);
print_performance("image_thin_borders", t3, t2);
print_performance("image_min_max_loc", t5, t4);
print_performance("image_threshold", t7, t6);
print_performance("image_resize", t9, t8);
print_performance("image_kmeans_colorer", t11, t10);
print_performance("image_rgb2hsv", t13, t12);
print_performance("image_hsv_colorer", t15, t14);
image_delete(&img);
image_delete(&img2);
#if 1
image_delete(&img_gray);
image_delete(&img_borders);
image_delete(&img_thr);
#endif
printf("[i] End.\n");
return 0;
}
/**
* Run the optical flow on a new image frame
* @param[in] *opticflow The opticalflow structure that keeps track of previous images
* @param[in] *state The state of the drone
* @param[in] *img The image frame to calculate the optical flow from
* @param[out] *result The optical flow result
*/
void opticflow_calc_frame(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img, struct opticflow_result_t *result)
{
// Update FPS for information
result->fps = 1 / (timeval_diff(&opticflow->prev_timestamp, &img->ts) / 1000.);
memcpy(&opticflow->prev_timestamp, &img->ts, sizeof(struct timeval));
// Convert image to grayscale
image_to_grayscale(img, &opticflow->img_gray);
// Copy to previous image if not set
if (!opticflow->got_first_img) {
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
opticflow->got_first_img = TRUE;
}
// *************************************************************************************
// Corner detection
// *************************************************************************************
// FAST corner detection (TODO: non fixed threashold)
struct point_t *corners = fast9_detect(img, opticflow->fast9_threshold, opticflow->fast9_min_distance,
20, 20, &result->corner_cnt);
// Adaptive threshold
if (opticflow->fast9_adaptive) {
// Decrease and increase the threshold based on previous values
if (result->corner_cnt < 40 && opticflow->fast9_threshold > 5) {
opticflow->fast9_threshold--;
} else if (result->corner_cnt > 50 && opticflow->fast9_threshold < 60) {
opticflow->fast9_threshold++;
}
}
#if OPTICFLOW_DEBUG && OPTICFLOW_SHOW_CORNERS
image_show_points(img, corners, result->corner_cnt);
#endif
// Check if we found some corners to track
if (result->corner_cnt < 1) {
free(corners);
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
return;
}
// *************************************************************************************
// Corner Tracking
// *************************************************************************************
// Execute a Lucas Kanade optical flow
result->tracked_cnt = result->corner_cnt;
struct flow_t *vectors = opticFlowLK(&opticflow->img_gray, &opticflow->prev_img_gray, corners, &result->tracked_cnt,
opticflow->window_size / 2, opticflow->subpixel_factor, opticflow->max_iterations,
opticflow->threshold_vec, opticflow->max_track_corners);
#if OPTICFLOW_DEBUG && OPTICFLOW_SHOW_FLOW
image_show_flow(img, vectors, result->tracked_cnt, opticflow->subpixel_factor);
#endif
// Get the median flow
qsort(vectors, result->tracked_cnt, sizeof(struct flow_t), cmp_flow);
if (result->tracked_cnt == 0) {
// We got no flow
result->flow_x = 0;
result->flow_y = 0;
} else if (result->tracked_cnt > 3) {
// Take the average of the 3 median points
result->flow_x = vectors[result->tracked_cnt / 2 - 1].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2 - 1].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2 + 1].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2 + 1].flow_y;
result->flow_x /= 3;
result->flow_y /= 3;
} else {
// Take the median point
result->flow_x = vectors[result->tracked_cnt / 2].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2].flow_y;
}
// Flow Derotation
float diff_flow_x = (state->phi - opticflow->prev_phi) * img->w / OPTICFLOW_FOV_W;
float diff_flow_y = (state->theta - opticflow->prev_theta) * img->h / OPTICFLOW_FOV_H;
result->flow_der_x = result->flow_x - diff_flow_x * opticflow->subpixel_factor;
result->flow_der_y = result->flow_y - diff_flow_y * opticflow->subpixel_factor;
opticflow->prev_phi = state->phi;
opticflow->prev_theta = state->theta;
// Velocity calculation
result->vel_x = -result->flow_der_x * result->fps / opticflow->subpixel_factor * img->w / OPTICFLOW_FX;
result->vel_y = result->flow_der_y * result->fps / opticflow->subpixel_factor * img->h / OPTICFLOW_FY;
// *************************************************************************************
// Next Loop Preparation
// *************************************************************************************
free(corners);
free(vectors);
image_switch(&opticflow->img_gray, &opticflow->prev_img_gray);
}
void UndoTransaction::flattenLayers(int bgcolor)
{
Image* cel_image;
Cel* cel;
int frame;
// create a temporary image
UniquePtr<Image> image_wrap(Image::create(m_sprite->getPixelFormat(),
m_sprite->getWidth(),
m_sprite->getHeight()));
Image* image = image_wrap.get();
/* get the background layer from the sprite */
LayerImage* background = m_sprite->getBackgroundLayer();
if (!background) {
/* if there aren't a background layer we must to create the background */
background = new LayerImage(m_sprite);
if (isEnabled())
m_undoHistory->pushUndoer(new undoers::AddLayer(m_undoHistory->getObjects(),
m_sprite->getFolder(), background));
m_sprite->getFolder()->add_layer(background);
if (isEnabled())
m_undoHistory->pushUndoer(new undoers::MoveLayer(m_undoHistory->getObjects(),
background));
background->configureAsBackground();
}
/* copy all frames to the background */
for (frame=0; frame<m_sprite->getTotalFrames(); frame++) {
/* clear the image and render this frame */
image_clear(image, bgcolor);
layer_render(m_sprite->getFolder(), image, 0, 0, frame);
cel = background->getCel(frame);
if (cel) {
cel_image = m_sprite->getStock()->getImage(cel->getImage());
ASSERT(cel_image != NULL);
/* we have to save the current state of `cel_image' in the undo */
if (isEnabled()) {
Dirty* dirty = new Dirty(cel_image, image);
dirty->saveImagePixels(cel_image);
m_undoHistory->pushUndoer(new undoers::DirtyArea(
m_undoHistory->getObjects(), cel_image, dirty));
delete dirty;
}
}
else {
/* if there aren't a cel in this frame in the background, we
have to create a copy of the image for the new cel */
cel_image = Image::createCopy(image);
/* TODO error handling: if (!cel_image) { ... } */
/* here we create the new cel (with the new image `cel_image') */
cel = new Cel(frame, m_sprite->getStock()->addImage(cel_image));
/* TODO error handling: if (!cel) { ... } */
/* and finally we add the cel in the background */
background->addCel(cel);
}
image_copy(cel_image, image, 0, 0);
}
/* select the background */
if (m_sprite->getCurrentLayer() != background) {
if (isEnabled())
m_undoHistory->pushUndoer(new undoers::SetCurrentLayer(
m_undoHistory->getObjects(), m_sprite));
m_sprite->setCurrentLayer(background);
}
// Remove old layers.
LayerList layers = m_sprite->getFolder()->get_layers_list();
LayerIterator it = layers.begin();
LayerIterator end = layers.end();
for (; it != end; ++it) {
if (*it != background) {
Layer* old_layer = *it;
// Remove the layer
if (isEnabled())
m_undoHistory->pushUndoer(new undoers::RemoveLayer(m_undoHistory->getObjects(),
old_layer));
m_sprite->getFolder()->remove_layer(old_layer);
// Destroy the layer
delete old_layer;
}
}
}
void UndoTransaction::backgroundFromLayer(LayerImage* layer, int bgcolor)
{
ASSERT(layer);
ASSERT(layer->is_image());
ASSERT(layer->is_readable());
ASSERT(layer->is_writable());
ASSERT(layer->getSprite() == m_sprite);
ASSERT(m_sprite->getBackgroundLayer() == NULL);
// create a temporary image to draw each frame of the new
// `Background' layer
UniquePtr<Image> bg_image_wrap(Image::create(m_sprite->getPixelFormat(),
m_sprite->getWidth(),
m_sprite->getHeight()));
Image* bg_image = bg_image_wrap.get();
CelIterator it = layer->getCelBegin();
CelIterator end = layer->getCelEnd();
for (; it != end; ++it) {
Cel* cel = *it;
ASSERT((cel->getImage() > 0) &&
(cel->getImage() < m_sprite->getStock()->size()));
// get the image from the sprite's stock of images
Image* cel_image = m_sprite->getStock()->getImage(cel->getImage());
ASSERT(cel_image);
image_clear(bg_image, bgcolor);
image_merge(bg_image, cel_image,
cel->getX(),
cel->getY(),
MID(0, cel->getOpacity(), 255),
layer->getBlendMode());
// now we have to copy the new image (bg_image) to the cel...
setCelPosition(cel, 0, 0);
// same size of cel-image and bg-image
if (bg_image->w == cel_image->w &&
bg_image->h == cel_image->h) {
if (isEnabled())
m_undoHistory->pushUndoer(new undoers::ImageArea(m_undoHistory->getObjects(),
cel_image, 0, 0, cel_image->w, cel_image->h));
image_copy(cel_image, bg_image, 0, 0);
}
else {
replaceStockImage(cel->getImage(), Image::createCopy(bg_image));
}
}
// Fill all empty cels with a flat-image filled with bgcolor
for (int frame=0; frame<m_sprite->getTotalFrames(); frame++) {
Cel* cel = layer->getCel(frame);
if (!cel) {
Image* cel_image = Image::create(m_sprite->getPixelFormat(), m_sprite->getWidth(), m_sprite->getHeight());
image_clear(cel_image, bgcolor);
// Add the new image in the stock
int image_index = addImageInStock(cel_image);
// Create the new cel and add it to the new background layer
cel = new Cel(frame, image_index);
addCel(layer, cel);
}
}
configureLayerAsBackground(layer);
}
int start(const std::vector<CL_String> &args)
{
CL_ConsoleWindow console("Console");
try
{
CL_DisplayWindow window("Image test", 1024, 768);
CL_GraphicContext gc = window.get_gc();
// Connect the Window close event
CL_Slot slot_quit = window.sig_window_close().connect(this, &App::on_window_close);
CL_BlendMode blend_mode1;
blend_mode1.enable_blending(true);
gc.set_blend_mode(blend_mode1);
quit = false;
CL_ResourceManager resources("resources.xml");
CL_Texture texture(gc, "Images/square.png");
CL_Image image_texture(gc, texture, CL_Rect(0, 0, texture.get_size()));
CL_Image image_loaded(gc, "Images/square.png");
CL_Image image_resources(gc, "entire_image", &resources);
CL_Image image_copy(image_texture);
CL_Image image_top_right(gc, "image_top_right", &resources);
CL_Image image_bottom_right(gc, "image_bottom_right", &resources);
CL_Image image_black(gc, "image_black", &resources);
CL_Font small_font = CL_Font(gc, "Tahoma", 12);
//CL_Console::write_line("Color: %1,%2,%3,%4", image_resources.get_color().r, image_resources.get_color().g, image_resources.get_color().b, image_resources.get_color().a);
//CL_Console::write_line("Scale: %1,%2", image_resources.get_scale_x(), image_resources.get_scale_y());
//CL_Console::write_line("Translation: %1,%2,%3", image_resources.get_alignment());
while((!quit) && (!window.get_ic().get_keyboard().get_keycode(CL_KEY_ESCAPE)))
{
gc.clear(CL_Colorf(0.5f,0.5f,0.5f));
small_font.draw_text(gc, 10, 40, "Image From Texture (10,60)");
image_texture.draw(gc, 10, 60);
small_font.draw_text(gc, 150, 40, "Image From Load (150,60)");
image_loaded.draw(gc, 150, 60);
small_font.draw_text(gc, 300, 40, "Image From Resources (300,60)");
image_resources.draw(gc, 300, 60);
small_font.draw_text(gc, 450, 40, "Image Copied (450,60)");
image_copy.draw(gc, 450, 60);
small_font.draw_text(gc, 10, 190, "Image - Top Right (10,200)");
image_top_right.draw(gc, 10, 200);
small_font.draw_text(gc, 150, 190, "Image - Top Right (150,200)");
image_texture.draw(gc, CL_Rect(32, 0, CL_Size(32, 32)), CL_Rect(150, 200, CL_Size(32, 32)));
small_font.draw_text(gc, 300, 190, "Image - Bottom Right (300,200)");
image_bottom_right.draw(gc, 300, 200);
small_font.draw_text(gc, 450, 190, "Image - Bottom Right (450,200)");
image_texture.draw(gc, CL_Rect(32, 32, CL_Size(32, 32)), CL_Rect(450, 200, CL_Size(32, 32)));
small_font.draw_text(gc, 10, 290, "700 Images (10,300)");
for(int i=0;i<700;i++)
image_texture.draw(gc, 10, 300);
small_font.draw_text(gc, 150, 290, "br image (150,400) Size(128,256)");
image_bottom_right.draw(gc, CL_Rect(150, 300, CL_Size(128, 256)));
small_font.draw_text(gc, 300, 290, "Image - black");
image_black.draw(gc, 300, 300);
small_font.draw_text(gc, 300, 490, "Image - Scale (1.5, 2.5)");
image_texture.set_scale(1.5f, 2.5f);
image_texture.draw(gc, 300, 500);
image_texture.set_scale(1.0f, 1.0f);
small_font.draw_text(gc, 450, 460, "Image - Alignment (4 images with 8 pixel offset)");
small_font.draw_text(gc, 450, 475, "(top left, top right, bottom left, bottom right)");
small_font.draw_text(gc, 450, 490, "(Circle denotes the draw origin)");
const int offset = 96;
image_texture.set_alignment(origin_top_left, 8, 8);
image_texture.draw(gc, 450+offset, 500+offset);
image_texture.set_alignment(origin_top_right, -8, 8);
image_texture.draw(gc, 450+offset, 500+offset);
image_texture.set_alignment(origin_bottom_left, 8, -8);
image_texture.draw(gc, 450+offset, 500+offset);
image_texture.set_alignment(origin_bottom_right, -8, -8);
image_texture.draw(gc, 450+offset, 500+offset);
CL_Draw::circle(gc, 450+offset, 500+offset, 4, CL_Colorf(1.0f, 1.0f, 1.0f, 0.9f));
small_font.draw_text(gc, 700, 460, "Image - Center Alignment (4 images with 8 pixel offset)");
small_font.draw_text(gc, 700, 475, "(top center, right center, bottom center, left center)");
small_font.draw_text(gc, 700, 490, "(Circle denotes the draw origin)");
image_texture.set_alignment(origin_top_center, 0, 8);
image_texture.draw(gc, 700+offset, 500+offset);
image_texture.set_alignment(origin_bottom_center, 0, -8);
image_texture.draw(gc, 700+offset, 500+offset);
image_texture.set_alignment(origin_center_left, 8, 0);
image_texture.draw(gc, 700+offset, 500+offset);
image_texture.set_alignment(origin_center_right, -8, 0);
image_texture.draw(gc, 700+offset, 500+offset);
CL_Draw::circle(gc, 700+offset, 500+offset, 4, CL_Colorf(1.0f, 1.0f, 1.0f, 0.9f));
small_font.draw_text(gc, 700, 160, "Image - Center Align (4 images with 64 pixel offset)");
small_font.draw_text(gc, 700, 175, "Also Includes a centered image (Without offset)");
small_font.draw_text(gc, 700, 190, "(Circle denotes the draw origin)");
const int center_image_offset = 64;
image_texture.set_alignment(origin_center, 0, 0);
image_texture.draw(gc, 700+offset, 200+offset);
image_texture.set_alignment(origin_center, 0, center_image_offset);
image_texture.draw(gc, 700+offset, 200+offset);
image_texture.set_alignment(origin_center, 0, -center_image_offset);
image_texture.draw(gc, 700+offset, 200+offset);
image_texture.set_alignment(origin_center, center_image_offset, 0);
image_texture.draw(gc, 700+offset, 200+offset);
image_texture.set_alignment(origin_center, -center_image_offset, 0);
image_texture.draw(gc, 700+offset, 200+offset);
CL_Draw::circle(gc, 700+offset, 200+offset, 4, CL_Colorf(1.0f, 1.0f, 1.0f, 0.9f));
// Restore alignment
image_texture.set_alignment(origin_top_left, 0, 0);
dump_fps();
window.flip(1);
CL_KeepAlive::process();
}
return 0;
}
catch(CL_Exception error)
{
CL_Console::write_line("Exception caught:");
CL_Console::write_line(error.message);
console.display_close_message();
return -1;
}
return 0;
}
void histogram_equalize_color_to_gray(void *src_pixels, void *dst_pixels, size_t width, size_t height, size_t stride) {
image_copy(src_pixels, dst_pixels, height, stride);
histogram_equalize_channel(src_pixels, dst_pixels, width, height, stride, GRAY);
}
/**
* Run the optical flow with fast9 and lukaskanade on a new image frame
* @param[in] *opticflow The opticalflow structure that keeps track of previous images
* @param[in] *state The state of the drone
* @param[in] *img The image frame to calculate the optical flow from
* @param[out] *result The optical flow result
*/
void calc_fast9_lukas_kanade(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img,
struct opticflow_result_t *result)
{
// variables for size_divergence:
float size_divergence;
int n_samples;
// variables for linear flow fit:
float error_threshold;
int n_iterations_RANSAC, n_samples_RANSAC, success_fit;
struct linear_flow_fit_info fit_info;
// Update FPS for information
result->fps = 1 / (timeval_diff(&opticflow->prev_timestamp, &img->ts) / 1000.);
memcpy(&opticflow->prev_timestamp, &img->ts, sizeof(struct timeval));
// Convert image to grayscale
image_to_grayscale(img, &opticflow->img_gray);
// Copy to previous image if not set
if (!opticflow->got_first_img) {
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
opticflow->got_first_img = true;
}
// *************************************************************************************
// Corner detection
// *************************************************************************************
// FAST corner detection (TODO: non fixed threshold)
struct point_t *corners = fast9_detect(img, opticflow->fast9_threshold, opticflow->fast9_min_distance,
0, 0, &result->corner_cnt);
// Adaptive threshold
if (opticflow->fast9_adaptive) {
// Decrease and increase the threshold based on previous values
if (result->corner_cnt < 40 && opticflow->fast9_threshold > 5) {
opticflow->fast9_threshold--;
} else if (result->corner_cnt > 50 && opticflow->fast9_threshold < 60) {
opticflow->fast9_threshold++;
}
}
#if OPTICFLOW_DEBUG && OPTICFLOW_SHOW_CORNERS
image_show_points(img, corners, result->corner_cnt);
#endif
// Check if we found some corners to track
if (result->corner_cnt < 1) {
free(corners);
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
return;
}
// *************************************************************************************
// Corner Tracking
// *************************************************************************************
// Execute a Lucas Kanade optical flow
result->tracked_cnt = result->corner_cnt;
struct flow_t *vectors = opticFlowLK(&opticflow->img_gray, &opticflow->prev_img_gray, corners, &result->tracked_cnt,
opticflow->window_size / 2, opticflow->subpixel_factor, opticflow->max_iterations,
opticflow->threshold_vec, opticflow->max_track_corners, opticflow->pyramid_level);
#if OPTICFLOW_DEBUG && OPTICFLOW_SHOW_FLOW
image_show_flow(img, vectors, result->tracked_cnt, opticflow->subpixel_factor);
#endif
// Estimate size divergence:
if (SIZE_DIV) {
n_samples = 100;
size_divergence = get_size_divergence(vectors, result->tracked_cnt, n_samples);
result->div_size = size_divergence;
} else {
result->div_size = 0.0f;
}
if (LINEAR_FIT) {
// Linear flow fit (normally derotation should be performed before):
error_threshold = 10.0f;
n_iterations_RANSAC = 20;
n_samples_RANSAC = 5;
success_fit = analyze_linear_flow_field(vectors, result->tracked_cnt, error_threshold, n_iterations_RANSAC,
n_samples_RANSAC, img->w, img->h, &fit_info);
if (!success_fit) {
fit_info.divergence = 0.0f;
fit_info.surface_roughness = 0.0f;
}
result->divergence = fit_info.divergence;
result->surface_roughness = fit_info.surface_roughness;
} else {
result->divergence = 0.0f;
result->surface_roughness = 0.0f;
}
// Get the median flow
qsort(vectors, result->tracked_cnt, sizeof(struct flow_t), cmp_flow);
if (result->tracked_cnt == 0) {
// We got no flow
result->flow_x = 0;
result->flow_y = 0;
} else if (result->tracked_cnt > 3) {
// Take the average of the 3 median points
result->flow_x = vectors[result->tracked_cnt / 2 - 1].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2 - 1].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2 + 1].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2 + 1].flow_y;
result->flow_x /= 3;
result->flow_y /= 3;
} else {
// Take the median point
result->flow_x = vectors[result->tracked_cnt / 2].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2].flow_y;
}
// Flow Derotation
float diff_flow_x = 0;
float diff_flow_y = 0;
/*// Flow Derotation TODO:
float diff_flow_x = (state->phi - opticflow->prev_phi) * img->w / OPTICFLOW_FOV_W;
float diff_flow_y = (state->theta - opticflow->prev_theta) * img->h / OPTICFLOW_FOV_H;*/
if (opticflow->derotation) {
diff_flow_x = (state->phi - opticflow->prev_phi) * img->w / OPTICFLOW_FOV_W;
diff_flow_y = (state->theta - opticflow->prev_theta) * img->h / OPTICFLOW_FOV_H;
}
result->flow_der_x = result->flow_x - diff_flow_x * opticflow->subpixel_factor;
result->flow_der_y = result->flow_y - diff_flow_y * opticflow->subpixel_factor;
opticflow->prev_phi = state->phi;
opticflow->prev_theta = state->theta;
// Velocity calculation
// Right now this formula is under assumption that the flow only exist in the center axis of the camera.
// TODO Calculate the velocity more sophisticated, taking into account the drone's angle and the slope of the ground plane.
float vel_x = result->flow_der_x * result->fps * state->agl / opticflow->subpixel_factor / OPTICFLOW_FX;
float vel_y = result->flow_der_y * result->fps * state->agl / opticflow->subpixel_factor / OPTICFLOW_FY;
result->vel_x = vel_x;
result->vel_y = vel_y;
// Velocity calculation: uncomment if focal length of the camera is not known or incorrect.
// result->vel_x = - result->flow_der_x * result->fps * state->agl / opticflow->subpixel_factor * OPTICFLOW_FOV_W / img->w
// result->vel_y = result->flow_der_y * result->fps * state->agl / opticflow->subpixel_factor * OPTICFLOW_FOV_H / img->h
// Rotate velocities from camera frame coordinates to body coordinates.
// IMPORTANT for control! This the case on the ARDrone and bebop, but on other systems this might be different!
result->vel_body_x = vel_y;
result->vel_body_y = - vel_x;
// Determine quality of noise measurement for state filter
//TODO Experiment with multiple noise measurement models
if (result->tracked_cnt < 10) {
result->noise_measurement = (float)result->tracked_cnt / (float)opticflow->max_track_corners;
} else {
result->noise_measurement = 1.0;
}
// *************************************************************************************
// Next Loop Preparation
// *************************************************************************************
free(corners);
free(vectors);
image_switch(&opticflow->img_gray, &opticflow->prev_img_gray);
}
void ExpandCelCanvas::commit()
{
ASSERT(!m_closed);
ASSERT(!m_committed);
undo::UndoHistory* undo = m_document->getUndoHistory();
// If the size of each image is the same, we can create an undo
// with only the differences between both images.
if (m_cel->getX() == m_originalCelX &&
m_cel->getY() == m_originalCelY &&
m_celImage->w == m_dstImage->w &&
m_celImage->h == m_dstImage->h) {
// Was m_celImage created in the start of the tool-loop?.
if (m_celCreated) {
// We can keep the m_celImage
// We copy the destination image to the m_celImage
image_copy(m_celImage, m_dstImage, 0, 0);
// Add the m_celImage in the images stock of the sprite.
m_cel->setImage(m_sprite->getStock()->addImage(m_celImage));
// Is the undo enabled?.
if (undo->isEnabled()) {
// We can temporary remove the cel.
static_cast<LayerImage*>(m_sprite->getCurrentLayer())->removeCel(m_cel);
// We create the undo information (for the new m_celImage
// in the stock and the new cel in the layer)...
undo->pushUndoer(new undoers::OpenGroup());
undo->pushUndoer(new undoers::AddImage(undo->getObjects(),
m_sprite->getStock(), m_cel->getImage()));
undo->pushUndoer(new undoers::AddCel(undo->getObjects(),
m_sprite->getCurrentLayer(), m_cel));
undo->pushUndoer(new undoers::CloseGroup());
// And finally we add the cel again in the layer.
static_cast<LayerImage*>(m_sprite->getCurrentLayer())->addCel(m_cel);
}
}
// If the m_celImage was already created before the whole process...
else {
// Add to the undo history the differences between m_celImage and m_dstImage
if (undo->isEnabled()) {
UniquePtr<Dirty> dirty(new Dirty(m_celImage, m_dstImage));
dirty->saveImagePixels(m_celImage);
if (dirty != NULL)
undo->pushUndoer(new undoers::DirtyArea(undo->getObjects(), m_celImage, dirty));
}
// Copy the destination to the cel image.
image_copy(m_celImage, m_dstImage, 0, 0);
}
}
// If the size of both images are different, we have to
// replace the entire image.
else {
if (undo->isEnabled()) {
undo->pushUndoer(new undoers::OpenGroup());
if (m_cel->getX() != m_originalCelX ||
m_cel->getY() != m_originalCelY) {
int x = m_cel->getX();
int y = m_cel->getY();
m_cel->setPosition(m_originalCelX, m_originalCelY);
undo->pushUndoer(new undoers::SetCelPosition(undo->getObjects(), m_cel));
m_cel->setPosition(x, y);
}
undo->pushUndoer(new undoers::ReplaceImage(undo->getObjects(),
m_sprite->getStock(), m_cel->getImage()));
undo->pushUndoer(new undoers::CloseGroup());
}
// Replace the image in the stock.
m_sprite->getStock()->replaceImage(m_cel->getImage(), m_dstImage);
// Destroy the old cel image.
image_free(m_celImage);
// Now the m_dstImage is used, so we haven't to destroy it.
m_dstImage = NULL;
}
m_committed = true;
}
bool FliFormat::onSave(FileOp* fop)
{
Sprite* sprite = fop->document->getSprite();
unsigned char cmap[768];
unsigned char omap[768];
s_fli_header fli_header;
int c, times;
Image *bmp, *old;
Palette *pal;
/* prepare fli header */
fli_header.filesize = 0;
fli_header.frames = 0;
fli_header.width = sprite->getWidth();
fli_header.height = sprite->getHeight();
if ((fli_header.width == 320) && (fli_header.height == 200))
fli_header.magic = HEADER_FLI;
else
fli_header.magic = HEADER_FLC;
fli_header.depth = 8;
fli_header.flags = 3;
fli_header.speed = get_time_precision(sprite);
fli_header.created = 0;
fli_header.updated = 0;
fli_header.aspect_x = 1;
fli_header.aspect_y = 1;
fli_header.oframe1 = fli_header.oframe2 = 0;
/* open the file to write in binary mode */
FileHandle f(fop->filename.c_str(), "wb");
fseek(f, 128, SEEK_SET);
/* create the bitmaps */
bmp = Image::create(IMAGE_INDEXED, sprite->getWidth(), sprite->getHeight());
old = Image::create(IMAGE_INDEXED, sprite->getWidth(), sprite->getHeight());
if ((!bmp) || (!old)) {
fop_error(fop, "Not enough memory for temporary bitmaps.\n");
if (bmp) image_free(bmp);
if (old) image_free(old);
return false;
}
/* write frame by frame */
for (FrameNumber frpos(0);
frpos < sprite->getTotalFrames();
++frpos) {
/* get color map */
pal = sprite->getPalette(frpos);
for (c=0; c<256; c++) {
cmap[3*c ] = _rgba_getr(pal->getEntry(c));
cmap[3*c+1] = _rgba_getg(pal->getEntry(c));
cmap[3*c+2] = _rgba_getb(pal->getEntry(c));
}
/* render the frame in the bitmap */
image_clear(bmp, 0);
layer_render(sprite->getFolder(), bmp, 0, 0, frpos);
/* how many times this frame should be written to get the same
time that it has in the sprite */
times = sprite->getFrameDuration(frpos) / fli_header.speed;
for (c=0; c<times; c++) {
/* write this frame */
if (frpos == 0 && c == 0)
fli_write_frame(f, &fli_header, NULL, NULL,
(unsigned char *)bmp->dat, cmap, W_ALL);
else
fli_write_frame(f, &fli_header,
(unsigned char *)old->dat, omap,
(unsigned char *)bmp->dat, cmap, W_ALL);
/* update the old image and color-map to the new ones to compare later */
image_copy(old, bmp, 0, 0);
memcpy(omap, cmap, 768);
}
/* update progress */
fop_progress(fop, (float)(frpos.next()) / (float)(sprite->getTotalFrames()));
}
/* write the header and close the file */
fli_write_header(f, &fli_header);
/* destroy the bitmaps */
image_free(bmp);
image_free(old);
return true;
}
/**
* Run the optical flow with fast9 and lukaskanade on a new image frame
* @param[in] *opticflow The opticalflow structure that keeps track of previous images
* @param[in] *state The state of the drone
* @param[in] *img The image frame to calculate the optical flow from
* @param[out] *result The optical flow result
*/
void calc_fast9_lukas_kanade(struct opticflow_t *opticflow, struct opticflow_state_t *state, struct image_t *img,
struct opticflow_result_t *result)
{
if (opticflow->just_switched_method) {
opticflow_calc_init(opticflow, img->w, img->h);
}
// variables for size_divergence:
float size_divergence; int n_samples;
// variables for linear flow fit:
float error_threshold;
int n_iterations_RANSAC, n_samples_RANSAC, success_fit;
struct linear_flow_fit_info fit_info;
// Update FPS for information
result->fps = 1 / (timeval_diff(&opticflow->prev_timestamp, &img->ts) / 1000.);
opticflow->prev_timestamp = img->ts;
// Convert image to grayscale
image_to_grayscale(img, &opticflow->img_gray);
// Copy to previous image if not set
if (!opticflow->got_first_img) {
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
opticflow->got_first_img = true;
}
// *************************************************************************************
// Corner detection
// *************************************************************************************
// FAST corner detection
// TODO: There is something wrong with fast9_detect destabilizing FPS. This problem is reduced with putting min_distance
// to 0 (see defines), however a more permanent solution should be considered
fast9_detect(img, opticflow->fast9_threshold, opticflow->fast9_min_distance,
opticflow->fast9_padding, opticflow->fast9_padding, &result->corner_cnt,
&opticflow->fast9_rsize,
opticflow->fast9_ret_corners);
// Adaptive threshold
if (opticflow->fast9_adaptive) {
// Decrease and increase the threshold based on previous values
if (result->corner_cnt < 40
&& opticflow->fast9_threshold > FAST9_LOW_THRESHOLD) { // TODO: Replace 40 with OPTICFLOW_MAX_TRACK_CORNERS / 2
opticflow->fast9_threshold--;
} else if (result->corner_cnt > OPTICFLOW_MAX_TRACK_CORNERS * 2 && opticflow->fast9_threshold < FAST9_HIGH_THRESHOLD) {
opticflow->fast9_threshold++;
}
}
#if OPTICFLOW_SHOW_CORNERS
image_show_points(img, opticflow->fast9_ret_corners, result->corner_cnt);
#endif
// Check if we found some corners to track
if (result->corner_cnt < 1) {
image_copy(&opticflow->img_gray, &opticflow->prev_img_gray);
return;
}
// *************************************************************************************
// Corner Tracking
// *************************************************************************************
// Execute a Lucas Kanade optical flow
result->tracked_cnt = result->corner_cnt;
struct flow_t *vectors = opticFlowLK(&opticflow->img_gray, &opticflow->prev_img_gray, opticflow->fast9_ret_corners,
&result->tracked_cnt,
opticflow->window_size / 2, opticflow->subpixel_factor, opticflow->max_iterations,
opticflow->threshold_vec, opticflow->max_track_corners, opticflow->pyramid_level);
#if OPTICFLOW_SHOW_FLOW
printf("show: n tracked = %d\n", result->tracked_cnt);
image_show_flow(img, vectors, result->tracked_cnt, opticflow->subpixel_factor);
#endif
// Estimate size divergence:
if (SIZE_DIV) {
n_samples = 100;
size_divergence = get_size_divergence(vectors, result->tracked_cnt, n_samples);
result->div_size = size_divergence;
} else {
result->div_size = 0.0f;
}
if (LINEAR_FIT) {
// Linear flow fit (normally derotation should be performed before):
error_threshold = 10.0f;
n_iterations_RANSAC = 20;
n_samples_RANSAC = 5;
success_fit = analyze_linear_flow_field(vectors, result->tracked_cnt, error_threshold, n_iterations_RANSAC,
n_samples_RANSAC, img->w, img->h, &fit_info);
if (!success_fit) {
fit_info.divergence = 0.0f;
fit_info.surface_roughness = 0.0f;
}
result->divergence = fit_info.divergence;
result->surface_roughness = fit_info.surface_roughness;
} else {
result->divergence = 0.0f;
result->surface_roughness = 0.0f;
}
// Get the median flow
qsort(vectors, result->tracked_cnt, sizeof(struct flow_t), cmp_flow);
if (result->tracked_cnt == 0) {
// We got no flow
result->flow_x = 0;
result->flow_y = 0;
} else if (result->tracked_cnt > 3) {
// Take the average of the 3 median points
result->flow_x = vectors[result->tracked_cnt / 2 - 1].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2 - 1].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2].flow_y;
result->flow_x += vectors[result->tracked_cnt / 2 + 1].flow_x;
result->flow_y += vectors[result->tracked_cnt / 2 + 1].flow_y;
result->flow_x /= 3;
result->flow_y /= 3;
} else {
// Take the median point
result->flow_x = vectors[result->tracked_cnt / 2].flow_x;
result->flow_y = vectors[result->tracked_cnt / 2].flow_y;
}
// Flow Derotation
float diff_flow_x = 0;
float diff_flow_y = 0;
/*// Flow Derotation TODO:
float diff_flow_x = (state->phi - opticflow->prev_phi) * img->w / OPTICFLOW_FOV_W;
float diff_flow_y = (state->theta - opticflow->prev_theta) * img->h / OPTICFLOW_FOV_H;*/
if (opticflow->derotation && result->tracked_cnt > 5) {
diff_flow_x = (state->rates.p) / result->fps * img->w /
OPTICFLOW_FOV_W;// * img->w / OPTICFLOW_FOV_W;
diff_flow_y = (state->rates.q) / result->fps * img->h /
OPTICFLOW_FOV_H;// * img->h / OPTICFLOW_FOV_H;
}
result->flow_der_x = result->flow_x - diff_flow_x * opticflow->subpixel_factor *
opticflow->derotation_correction_factor_x;
result->flow_der_y = result->flow_y - diff_flow_y * opticflow->subpixel_factor *
opticflow->derotation_correction_factor_y;
opticflow->prev_rates = state->rates;
// Velocity calculation
// Right now this formula is under assumption that the flow only exist in the center axis of the camera.
// TODO Calculate the velocity more sophisticated, taking into account the drone's angle and the slope of the ground plane.
float vel_x = result->flow_der_x * result->fps * state->agl / opticflow->subpixel_factor / OPTICFLOW_FX;
float vel_y = result->flow_der_y * result->fps * state->agl / opticflow->subpixel_factor / OPTICFLOW_FY;
//Apply a median filter to the velocity if wanted
if (opticflow->median_filter == true) {
result->vel_x = (float)update_median_filter(&vel_x_filt, (int32_t)(vel_x * 1000)) / 1000;
result->vel_y = (float)update_median_filter(&vel_y_filt, (int32_t)(vel_y * 1000)) / 1000;
} else {
result->vel_x = vel_x;
result->vel_y = vel_y;
}
// Velocity calculation: uncomment if focal length of the camera is not known or incorrect.
// result->vel_x = - result->flow_der_x * result->fps * state->agl / opticflow->subpixel_factor * OPTICFLOW_FOV_W / img->w
// result->vel_y = result->flow_der_y * result->fps * state->agl / opticflow->subpixel_factor * OPTICFLOW_FOV_H / img->h
// Determine quality of noise measurement for state filter
//TODO develop a noise model based on groundtruth
float noise_measurement_temp = (1 - ((float)result->tracked_cnt / ((float)opticflow->max_track_corners * 1.25)));
result->noise_measurement = noise_measurement_temp;
// *************************************************************************************
// Next Loop Preparation
// *************************************************************************************
free(vectors);
image_switch(&opticflow->img_gray, &opticflow->prev_img_gray);
}
void DocumentApi::flattenLayers(Sprite* sprite, int bgcolor)
{
Image* cel_image;
Cel* cel;
DocumentUndo* undo = m_document->getUndo();
// Create a temporary image.
UniquePtr<Image> image_wrap(Image::create(sprite->getPixelFormat(),
sprite->getWidth(),
sprite->getHeight()));
Image* image = image_wrap.get();
// Get the background layer from the sprite.
LayerImage* background = sprite->getBackgroundLayer();
if (!background) {
// If there aren't a background layer we must to create the background.
background = new LayerImage(sprite);
addLayer(sprite->getFolder(), background, NULL);
configureLayerAsBackground(background);
}
// Copy all frames to the background.
for (FrameNumber frame(0); frame<sprite->getTotalFrames(); ++frame) {
// Clear the image and render this frame.
image_clear(image, bgcolor);
layer_render(sprite->getFolder(), image, 0, 0, frame);
cel = background->getCel(frame);
if (cel) {
cel_image = sprite->getStock()->getImage(cel->getImage());
ASSERT(cel_image != NULL);
// We have to save the current state of `cel_image' in the undo.
if (undo->isEnabled()) {
Dirty* dirty = new Dirty(cel_image, image);
dirty->saveImagePixels(cel_image);
m_undoers->pushUndoer(new undoers::DirtyArea(
getObjects(), cel_image, dirty));
delete dirty;
}
}
else {
// If there aren't a cel in this frame in the background, we
// have to create a copy of the image for the new cel.
cel_image = Image::createCopy(image);
// TODO error handling: if createCopy throws
// Here we create the new cel (with the new image `cel_image').
cel = new Cel(frame, sprite->getStock()->addImage(cel_image));
// TODO error handling: if new Cel throws
// And finally we add the cel in the background.
background->addCel(cel);
}
image_copy(cel_image, image, 0, 0);
}
// Delete old layers.
LayerList layers = sprite->getFolder()->getLayersList();
LayerIterator it = layers.begin();
LayerIterator end = layers.end();
for (; it != end; ++it)
if (*it != background)
removeLayer(*it);
}
