import numpy import matplotlib.pyplot as plt from string import Template import pyopencl as cl from pyopencl.cltypes import make_double3 mf = cl.mem_flags from planets import earth config = { 'size_x': 1920//4, 'size_y': 1080//4, 'ray_samples' : 32, 'light_samples': 8, 'exposure': 2.0, 'zoom': 1.0, 'eye_pos': numpy.array([0, 0, 1.0001]), 'eye_dir': numpy.array([0, 1, 0]) } sun_range = (-10, 90, 10) cl_platform = cl.get_platforms()[0] cl_context = cl.Context(properties=[(cl.context_properties.PLATFORM, cl_platform)]) cl_queue = cl.CommandQueue(cl_context) cl_picture = cl.Buffer(cl_context, mf.WRITE_ONLY, size=config['size_x']*config['size_y']*3*numpy.float64(0).nbytes) program = None print('height: %d' % (earth['earth_radius']*config['eye_pos'][2] - earth['earth_radius'])) with open('raymarch.cl') as f: program = cl.Program(cl_context, Template(f.read()).substitute( {**config, **earth} )).build() for i in numpy.arange(*sun_range): sun = make_double3(0.0,numpy.cos(i*2*numpy.pi/360),numpy.sin(i*2*numpy.pi/360)) print(sun) program.render( cl_queue, (config['size_x'], config['size_y']), None, cl_picture, make_double3(*(config['eye_pos'] * earth['earth_radius'])), make_double3(*(config['eye_dir'] * earth['earth_radius'])), sun) np_picture = numpy.ndarray(shape=(config['size_y'], config['size_x'], 3), dtype=numpy.float64) cl.enqueue_copy(cl_queue, np_picture, cl_picture).wait(); plt.imsave("sky_%05.1f.png" % (i-sun_range[0]), np_picture, origin='lower')