def init_image_array(map_image_size, default_color=(0,0,0,0)):
image_array = shmem.create((map_image_size[1], map_image_size[0], Level.color_depth), dtype=numpy.uint8)
image_array[:] = default_color
return image_array
def init_image_array(map_image_size, default_color=(0,0,0,0)):
image_array = shmem.create((map_image_size[1], map_image_size[0], Level.color_depth), dtype=numpy.uint8)
image_array[:] = default_color
return image_array
# map size
chunks_xpos = map(lambda chunk_file: int(os.path.basename(chunk_file).split('.')[1],36), chunk_files)
chunks_zpos = map(lambda chunk_file: int(os.path.basename(chunk_file).split('.')[2],36), chunk_files)
map_size = {'x_min': min(chunks_xpos), 'x_max': max(chunks_xpos),
'z_min': min(chunks_zpos), 'z_max': max(chunks_zpos)}
map_chunk_offset_X = abs(map_size['x_min'])
map_chunk_offset_Z = abs(map_size['z_min'])
map_image_size = ((abs(map_size['x_max']) + map_chunk_offset_X) * Mapper.chunk_size_X + 16, (abs(map_size['z_max']) + map_chunk_offset_Z) * Mapper.chunk_size_Z + 16)
init_array = time.clock()
image_array = shmem.create((map_image_size[1], map_image_size[0], 3), dtype=numpy.uint8)
image_array[:] = (255, 255, 255)
end_init_array = time.clock()
pool = multiprocessing.Pool(multiprocessing.cpu_count()*2, init_multiprocess, (image_array,))
end_setup = time.clock()
render = time.clock()
# multi cpu render
print 'go', len(chunk_files), map_image_size
def create_data(file):
return (map_size, file)
'z_min': min(chunks_zpos),
'z_max': max(chunks_zpos)
}
map_chunk_offset_X = abs(map_size['x_min'])
map_chunk_offset_Z = abs(map_size['z_min'])
map_image_size = (
(abs(map_size['x_max']) + map_chunk_offset_X) * Mapper.chunk_size_X +
16,
(abs(map_size['z_max']) + map_chunk_offset_Z) * Mapper.chunk_size_Z +
16)
init_array = time.clock()
image_array = shmem.create((map_image_size[1], map_image_size[0], 3),
dtype=numpy.uint8)
image_array[:] = (255, 255, 255)
end_init_array = time.clock()
pool = multiprocessing.Pool(multiprocessing.cpu_count() * 2,
init_multiprocess, (image_array, ))
end_setup = time.clock()
render = time.clock()
# multi cpu render
print 'go', len(chunk_files), map_image_size
def create_data(file):
