def run_experiment_areas_size_diff(self,
number_of_iterations,
number_of_partitions,
s,
grid_base_size=5,
remove_off=False):
smallest_areas_diff = float("inf")
grid_to_draw = None
for i in range(number_of_iterations):
print('ITERATION', i + 1)
grid = Grid(show_progress=False)
grid.load_image(self.grid_name, remove_off=remove_off)
grid.reduce_areas()
grid.reduce_by_lam(number_of_partitions, draw_steps=False)
grid.create_partitions()
grid.fully_restore_with_partitions_improvement(p=0.3)
grid.remove_noises()
max_area, min_area = grid.get_highest_and_smallest_partition()
diff = max_area - min_area
if diff < smallest_areas_diff:
cut_size = grid._get_cut_size()
print('CUT_SIZE:', cut_size)
print('DIFF:', diff)
smallest_areas_diff = diff
grid_to_draw = grid
grid_to_draw.draw_initial_grid(p=1, s=s, base_size=grid_base_size)
grid_to_draw.draw_partitioned_grid(p=1, s=s, base_size=grid_base_size)
grid_to_draw.print_areas_stats()
def run_experiment_areas_size_std(self,
number_of_iterations,
number_of_partitions,
s,
grid_base_size=5,
remove_off=False):
min_std = float("inf")
grid_to_draw = None
for i in range(number_of_iterations):
print('ITERATION', i + 1)
grid = Grid(show_progress=False)
grid.load_image(self.grid_name, remove_off=remove_off)
grid.reduce_areas()
grid.reduce_by_lam(number_of_partitions, draw_steps=False)
grid.create_partitions()
grid.fully_restore_with_partitions_improvement(p=0.3)
grid.remove_noises()
std = numpy.std(numpy.array(list(grid.partitions_stats.values())))
if std < min_std:
cut_size = grid._get_cut_size()
print('CUT_SIZE:', cut_size)
print('STD:', std)
min_std = std
grid_to_draw = grid
grid_to_draw.draw_initial_grid(p=1, s=s, base_size=grid_base_size)
grid_to_draw.draw_partitioned_grid(p=1, s=s, base_size=grid_base_size)
grid_to_draw.print_areas_stats()
