paramlist,
dataset.BSDFAt(iteration=bi, superiteration=options.superiteration))
for k in range(dataset.testSet().numLights()):
print "Iteration ", i, "/", testset.numIterations(
), ", Light ", k, "/", dataset.testSet().numLights(), "\r",
sys.stdout.flush()
testset.renderables[k].setEmbeddedParameter("sampleCount",
options.directSamples)
testset.renderables[k].setParameter("blockSize", 8)
copyfile(meshfile,
"/tmp/mts_mesh_intensity_slot_" + format(k) + ".ply")
merl_io.merl_write(
"/tmp/tabular-bsdf-" + format(k) + ".binary",
dataset.tabularBSDFAt(iteration=bi,
superiteration=options.superiteration))
testset.renderables[k].setEmbeddedParameter("depth", 2)
testset.renderables[k].setEmbeddedParameter("meshSlot", k)
de = dataset.errorAtN(lindex=k,
iteration=i,
superiteration=options.superiteration)
#testset.renderables[k].setEmbeddedParameter("width", de.shape[0])
#testset.renderables[k].setEmbeddedParameter("height", de.shape[1])
directIntensity = testset.renderables[k].renderReadback(
readmode="hds",
distribution=options.distribution,
output="/tmp/indirects-" + format(k) + ".hds",
localThreads=2,
renderable = testset.renderables[0]
renderable.setEmbeddedParameter("meshSlot", 0)
if not options.sourceMesh:
renderable.setFile(sphereXMLP)
renderable.setEmbeddedParameter("width", options.resolution)
renderable.setEmbeddedParameter("height", options.resolution)
Es = []
baseDir = directory + "/merl-compare/"
if not os.path.exists(baseDir):
os.mkdir(baseDir)
if dataset.tabularBSDFAt(iteration=options.iteration) is None:
print "Couldn't find tabular BSDF at i=", options.iteration
sys.exit(1)
for envmap in envmaps:
renderable.setEmbeddedParameter("envmap", envmap + ".exr")
merl_io.merl_write("/tmp/tabular-bsdf-0.binary", dataset.tabularBSDFAt(iteration=options.iteration))
print "Rendering ", envmap, " - ", " Optimized"
sphereImage = renderable.renderReadback(
readmode="hds",
distribution=options.distribution,
output="/tmp/sphere-bsdf-testing.hds",
embedded={"sampleCount": options.sampleCount},
localThreads=2,
testset.gradientRenderables[k].setEmbeddedParameter("sampleCount", options.samples)
testset.gradientRenderables[k].setParameter("blockSize", 8)
testset.renderables[k].setEmbeddedParameter("sampleCount", options.samples)
testset.renderables[k].setParameter("blockSize", 8)
copyfile(meshfile,
"/tmp/mts_mesh_gradient_slot_" + format(k) + ".ply")
copyfile(meshfile,
"/tmp/mts_mesh_intensity_slot_" + format(k) + ".ply")
testset.gradientRenderables[k].setEmbeddedParameter("depth", 2)
testset.gradientRenderables[k].setEmbeddedParameter("meshSlot", k)
testset.renderables[k].setEmbeddedParameter("depth", 2)
testset.renderables[k].setEmbeddedParameter("meshSlot", k)
os.system("rm /tmp/tabular-bsdf-" + format(k) + ".binary")
merl_io.merl_write("/tmp/tabular-bsdf-" + format(k) + ".binary", dataset.tabularBSDFAt(iteration=bi, superiteration=options.superiteration))
de = dataset.errorAtN(lindex=k, iteration=i, superiteration=options.superiteration)
width = de.shape[0]
height = de.shape[1]
testset.gradientRenderables[k].setEmbeddedParameter("width", width)
testset.gradientRenderables[k].setEmbeddedParameter("height", height)
#plt.imshow(de)
#plt.show()
hdsutils.writeHDSImage("/tmp/reductor-" + format(k) + ".hds", de.shape[0], de.shape[1], 1, de[:,:,np.newaxis])
normalGradients, bsdfGradients = testset.gradientRenderables[k].renderReadback(
readmode="shds",
distribution=options.distribution,
output="/tmp/single-bounce-gradients-" + format(k) + ".shds",
readmode="hds",
distribution=options.distribution,
output="/tmp/sphere-bsdf-testing.hds",
embedded={"sampleCount": options.sampleCount},
localThreads=2,
quiet=True)
np.save(baseDir + "/target-" + envmap + ".npy", sphereImageTarget)
targets.append(sphereImageTarget)
for i in range(-1, testset.numBSDFIterations(), options.skip):
if options.iteration != None and options.iteration != i:
continue
if dataset.tabularBSDFAt(iteration=i) is None and i != -1:
continue
if i != -1:
print("Rendering iteration " + format(i) + "...")
else:
print("Rendering initialization")
error = 0.0
for eidx, envmap in enumerate(envmaps):
renderable.setEmbeddedParameter("envmap", envmap + ".exr")
if i != -1:
merl_io.merl_write("/tmp/tabular-bsdf-0.binary", dataset.tabularBSDFAt(iteration=i))
else:
merl_io.merl_write("/tmp/tabular-bsdf-0.binary", testset.initialTabularBSDF())