def run_normals():
global ds
ds = []
try:
shutil.rmtree(out_path)
except:
pass
os.mkdir(out_path)
for i in range(1):
dataset.load_random_dataset()
dataset.advance()
name = 'dataset_%s' % str(i)
d = dict(name=name)
folder = os.path.join(out_path, name)
os.mkdir(folder)
depthL = dataset.depthL.astype('f')
pylab.figure(0)
pylab.clf()
pylab.imshow(depthL)
pylab.savefig(os.path.join(folder,'depth.jpg'))
dt = timeit.timeit(lambda: normals.normals_numpy(depthL),
number=1)
d['numpy'] = dt
n,w = normals.normals_numpy(depthL)
pylab.clf()
show_normals(n, w)
pylab.savefig(os.path.join(folder,'normals_numpy.jpg'))
dt = timeit.timeit(lambda: normals.normals_c(depthL),
number=1)
d['c'] = dt
n,w = normals.normals_c(depthL)
pylab.clf()
show_normals(n, w)
pylab.savefig(os.path.join(folder,'normals_c.jpg'))
rect = ((0,0),(640,480))
mask = np.zeros((480,640),'bool')
mask[1:-1,1:-1] = 1
normals.opencl.set_rect(rect, ((0,0),(0,0)))
dt = timeit.timeit(lambda:
normals.normals_opencl(depthL, mask, rect).wait(),
number=1)
d['opencl'] = dt
nw,_ = normals.opencl.get_normals()
n,w = nw[:,:,:3], nw[:,:,3]
pylab.clf()
show_normals(n,w)
pylab.savefig(os.path.join(folder,'normals_opencl.jpg'))
ds.append(d)
def once():
global depth
if not FOR_REAL:
dataset.advance()
depth = dataset.depth
else:
opennpy.sync_update()
depth,_ = opennpy.sync_get_depth()
def from_rect(m,rect):
(l,t),(r,b) = rect
return m[t:b,l:r]
global mask, rect, modelmat
(mask,rect) = preprocess.threshold_and_mask(depth,config.bg)
global n,w
if 0:
n,w = normals.normals_numpy(depth)
show_normals(n, w, 'normals_numpy')
if 0:
n,w = normals.normals_c(depth)
show_normals(n, w, 'normals_c')
if 1:
normals.opencl.set_rect(rect)
dt = timeit.timeit(lambda:
normals.normals_opencl(depth, mask, rect).wait(),
number=1)
#print dt
nw = normals.opencl.get_normals()
n,w = nw[:,:,:3], nw[:,:,3]
#show_normals(n, w, 'normals_opencl')
show_normals_sphere(n, w)
pylab.waitforbuttonpress(0.01)
def once():
global depth
if not FOR_REAL:
dataset.advance()
depth = dataset.depth
else:
opennpy.sync_update()
depth, _ = opennpy.sync_get_depth()
def from_rect(m, rect):
(l, t), (r, b) = rect
return m[t:b, l:r]
global mask, rect, modelmat
(mask, rect) = preprocess.threshold_and_mask(depth, config.bg)
global n, w
if 0:
n, w = normals.normals_numpy(depth)
show_normals(n, w, 'normals_numpy')
if 0:
n, w = normals.normals_c(depth)
show_normals(n, w, 'normals_c')
if 1:
normals.opencl.set_rect(rect)
dt = timeit.timeit(
lambda: normals.normals_opencl(depth, mask, rect).wait(), number=1)
#print dt
nw = normals.opencl.get_normals()
n, w = nw[:, :, :3], nw[:, :, 3]
#show_normals(n, w, 'normals_opencl')
show_normals_sphere(n, w)
pylab.waitforbuttonpress(0.01)
