watch.py

from PIL import Image
from functools import reduce
import numpy as np
import time

class vec3():
    def __init__(self, x, y, z):
        (self.x, self.y, self.z) = (x, y, z)
    def __mul__(self, other):
        return vec3(self.x * other, self.y * other, self.z * other)
    def __add__(self, other):
        return vec3(self.x + other.x, self.y + other.y, self.z + other.z)
    def __sub__(self, other):
        return vec3(self.x - other.x, self.y - other.y, self.z - other.z)
    def dot(self, other):
        return (self.x * other.x) + (self.y * other.y) + (self.z * other.z)
    def __abs__(self):
        return self.dot(self)
    def norm(self):
        mag = np.sqrt(abs(self))
        return self * (1.0 / np.where(mag == 0, 1, mag))
    def components(self):
        return (self.x, self.y, self.z)
rgb = vec3

(w, h) = (128, 128)         # Screen size
L = vec3(5, 5., -10)        # Point light position
E = vec3(0., 0, 0)     # Eye position
FARAWAY = 1.0e39            # an implausibly huge distance
gen = 0

def raytrace(O, D, scene, bounce = 0):
    # O is the ray origin, D is the normalized ray direction
    # scene is a list of Sphere objects (see below)
    # bounce is the number of the bounce, starting at zero for camera rays

    distances = [s.intersect(O, D) for s in scene]
    nearest = reduce(np.minimum, distances)
    color = rgb(0, 0, 0)
    for (s, d) in zip(scene, distances):
        cc = s.light(O, D, d, scene, bounce) * (nearest != FARAWAY) * (d == nearest)
        color += cc
        _rgb = [Image.fromarray((255 * np.clip(c, 0, 1).reshape((h, w))).astype(np.uint8), "L") for c in cc.components()]
        global gen
        Image.merge("RGB", _rgb).save("p%02d.png" % gen)
        gen += 1
    return color

class Sphere:
    def __init__(self, center, r, diffuse, mirror = 0.5):
        self.c = center
        self.r = r
        self.diffuse = diffuse
        self.mirror = mirror

    def intersect(self, O, D):
        b = 2 * D.dot(O - self.c)
        c = abs(self.c) + abs(O) - 2 * self.c.dot(O) - (self.r * self.r)
        disc = (b ** 2) - (4 * c)
        sq = np.sqrt(np.maximum(0, disc))
        h0 = (-b - sq) / 2
        h1 = (-b + sq) / 2
        h = np.where((h0 > 0) & (h0 < h1), h0, h1)

        pred = (disc > 0) & (h > 0)
        return np.where(pred, h, FARAWAY)

    def diffusecolor(self, M):
        return self.diffuse

    def light(self, O, D, d, scene, bounce):
        return self.diffuse
        M = (O + D * d)                         # intersection point
        N = (M - self.c) * (1. / self.r)        # normal
        toL = (L - M).norm()                    # direction to light
        toO = (E - M).norm()                    # direction to ray origin
        nudged = M + N * .0001                  # M nudged to avoid itself

        # Shadow: find if the point is shadowed or not.
        light_distances = [s.intersect(nudged, toL) for s in scene]
        light_nearest = reduce(np.minimum, light_distances)
        seelight = light_distances[scene.index(self)] == light_nearest
        seelight = 1

        # Ambient
        color = rgb(0.05, 0.05, 0.05)

        # Lambert shading (diffuse)
        lv = np.maximum(N.dot(toL), 0)
        color += self.diffusecolor(M) * lv * seelight

        # Reflection
        if 0: # bounce < 2:
            rayD = (D - N * 2 * D.dot(N)).norm()
            color += raytrace(nudged, rayD, scene, bounce + 1) * self.mirror

        # Blinn-Phong shading (specular)
        phong = N.dot((toL + toO).norm())
        color += rgb(1, 1, 1) * np.power(np.clip(phong, 0, 1), 50) * seelight
        return color

class CheckeredSphere(Sphere):
    def diffusecolor(self, M):
        checker = ((M.x * 2).astype(int) % 2) == ((M.z * 2).astype(int) % 2)
        return self.diffuse * checker

scene = [
    Sphere(vec3(0, 0, 2), .6, rgb(0, 0, 1)),
    # Sphere(vec3(-1, -1, 2), .6, rgb(0, 1, 0)),
    # Sphere(vec3(1, 1, 2), .6, rgb(1, 0, 0)),
    ]

r = float(w) / h
# Screen coordinates: x0, y0, x1, y1.
S = (-1., 1., 1., -1.)
x = np.tile(np.linspace(S[0], S[2], w), h)
y = np.repeat(np.linspace(S[1], S[3], h), w)

t0 = time.time()
Q = vec3(x, y, 1)
color = raytrace(E, (Q - E).norm(), scene)
print ("Took", time.time() - t0)

rgb = [Image.fromarray((255 * np.clip(c, 0, 1).reshape((h, w))).astype(np.uint8), "L") for c in color.components()]
Image.merge("RGB", rgb).save("fig.png")