def child():
pipeout = os.open(pipe_name, os.O_WRONLY)
out_analysis = FastRadialFeatureFinder()
image_queue = Queue.Queue()
worker = PipelinedWorkerProcessManager(queue_length)
output_queues = []
output_queues.append(worker.output_queue)
data = worker_loop(None,image_queue,output_queues)
(im, guess) = data.worker_loop(None,image_queue,output_queues)
out_analysis.reuse_storage = 0
out_analysis.use_sse3 = 0
out_analysis.filter = 'sepfir'
while True:
time.sleep(1)
#debug code
# f = open('/Users/Intern/Documents/pipe_debug.txt','w')
# for i in len(pupil_coords):
# f.write(pupil_coords[i])
pupil_coords = out_analysis.analysis(im, guess, filter='sepfir')
os.write(pipeout, '%d, %d \n' % (pupil_coords[0], pupil_coords[1]))
def test_ff_on_image(test_image_name):
print test_image_name
test_image = double(asarray(PIL.Image.open(test_image_name)))
if len(test_image.shape) == 3:
test_image = mean(test_image, 2)
radial_ff = FastRadialFeatureFinder()
radial_ff.target_kpixels = 3.0
radial_ff.correct_downsampling = True
radial_ff.radius_steps = 20
radial_ff.min_radius_fraction = 1. / 200
radial_ff.max_radius_fraction = 1. / 5
starburst_ff = \
CLSubpixelStarburstEyeFeatureFinder()
composite_ff = CompositeEyeFeatureFinder(radial_ff, starburst_ff)
composite_ff.analyze_image(test_image, {'timestamp': 0})
features = composite_ff.get_result()
# do it twice to allow compilation
composite_ff.analyze_image(test_image)
features = composite_ff.get_result()
plt.figure()
plt.imshow(test_image, interpolation='nearest')
plt.gray()
plt.hold(True)
cr_position = features['cr_position']
pupil_position = features['pupil_position']
plt.plot([cr_position[1]], [cr_position[0]], 'g+')
plt.plot([pupil_position[1]], [pupil_position[0]], 'g+')
sb = features['starburst']
cr_bounds = sb['cr_boundary']
pupil_bounds = sb['pupil_boundary']
for b in cr_bounds:
plt.plot([b[1]], [b[0]], 'rx')
for b in pupil_bounds:
plt.plot([b[1]], [b[0]], 'gx')
def test_ff_on_image(test_image_name):
print test_image_name
test_image = double(asarray(PIL.Image.open(test_image_name)))
if len(test_image.shape) == 3:
test_image = mean(test_image, 2)
radial_ff = FastRadialFeatureFinder()
radial_ff.target_kpixels = 3.0
radial_ff.correct_downsampling = True
radial_ff.radius_steps = 20
radial_ff.min_radius_fraction = 1. / 200
radial_ff.max_radius_fraction = 1. / 5
starburst_ff = \
CLSubpixelStarburstFeatureFinder()
composite_ff = CompositeFeatureFinder(radial_ff, starburst_ff)
composite_ff.analyze_image(test_image, {'timestamp': 0})
features = composite_ff.get_result()
# do it twice to allow compilation
composite_ff.analyze_image(test_image)
features = composite_ff.get_result()
plt.figure()
plt.imshow(test_image, interpolation='nearest')
plt.gray()
plt.hold(True)
cr_position = features['cr_position']
pupil_position = features['pupil_position']
plt.plot([cr_position[1]], [cr_position[0]], 'g+')
plt.plot([pupil_position[1]], [pupil_position[0]], 'g+')
sb = features['starburst']
cr_bounds = sb['cr_boundary']
pupil_bounds = sb['pupil_boundary']
for b in cr_bounds:
plt.plot([b[1]], [b[0]], 'rx')
for b in pupil_bounds:
plt.plot([b[1]], [b[0]], 'gx')
def test_ff_on_image(test_image_name):
print test_image_name
test_image = double(asarray(PIL.Image.open(test_image_name)))
if len(test_image.shape) == 3:
test_image = mean(test_image, 2)
(sobelified, x, y) = sobel3x3_separable(test_image)
radial_ff = FastRadialFeatureFinder()
radial_ff.target_kpixels = 3.0
radial_ff.correct_downsampling = True
radial_ff.radius_steps = 20
radial_ff.min_radius_fraction = 1. / 200
radial_ff.max_radius_fraction = 1. / 5
starburst_ff = \
SubpixelStarburstEyeFeatureFinder(cached_sobel=sobelified)
composite_ff = CompositeEyeFeatureFinder(radial_ff, starburst_ff)
composite_ff.analyze_image(test_image)
features = composite_ff.get_result()
# do it twice to allow compilation
composite_ff.analyze_image(test_image)
features = composite_ff.get_result()
figure()
imshow(test_image, interpolation='nearest')
gray()
hold(True)
cr_position = features['cr_position']
pupil_position = features['pupil_position']
plot([cr_position[1]], [cr_position[0]], 'g+')
plot([pupil_position[1]], [pupil_position[0]], 'g+')
sb = features['starburst']
cr_bounds = sb['cr_boundary']
pupil_bounds = sb['pupil_boundary']
for b in cr_bounds:
plot([b[1]], [b[0]], 'rx')
for b in pupil_bounds:
plot([b[1]], [b[0]], 'rx')
# pw = 20;
# axis((cr_position[1]+pw, cr_position[0]+pw, cr_position[1]-pw, cr_position[0]-pw))
figure()
imshow(sobelified, interpolation='nearest')
cr_ray_start = sb['cr_rays_start']
cr_ray_end = sb['cr_rays_end']
pupil_ray_start = sb['pupil_rays_start']
pupil_ray_end = sb['pupil_rays_end']
for i in range(0, len(cr_ray_start)):
plot([cr_ray_start[i][1], cr_ray_end[i][1]],
[cr_ray_start[i][0], cr_ray_end[i][0]], 'r-')
for i in range(0, len(pupil_ray_start)):
plot([pupil_ray_start[i][1], pupil_ray_end[i][1]],
[pupil_ray_start[i][0], pupil_ray_end[i][0]], 'b-')
for b in cr_bounds:
plot([b[1]], [b[0]], 'rx')
for b in pupil_bounds:
plot([b[1]], [b[0]], 'rx')
def test_ff_on_image(test_image_name):
print test_image_name
test_image = double(asarray(PIL.Image.open(test_image_name)))
if (len(test_image.shape) == 3):
test_image = mean(test_image, 2)
(sobelified, x, y) = sobel3x3_separable(test_image)
radial_ff = FastRadialFeatureFinder()
radial_ff.target_kpixels = 3.0
radial_ff.correct_downsampling = True
radial_ff.radius_steps = 20
radial_ff.min_radius_fraction = 1. / 200
radial_ff.max_radius_fraction = 1. / 5
starburst_ff = SubpixelStarburstEyeFeatureFinder(
cached_sobel=sobelified)
composite_ff = CompositeEyeFeatureFinder(radial_ff, starburst_ff)
composite_ff.analyze_image(test_image)
features = composite_ff.get_result()
# do it twice to allow compilation
composite_ff.analyze_image(test_image)
features = composite_ff.get_result()
figure()
imshow(test_image, interpolation="nearest")
gray()
hold(True)
cr_position = features["cr_position"]
pupil_position = features["pupil_position"]
plot([cr_position[1]], [cr_position[0]], 'g+')
plot([pupil_position[1]], [pupil_position[0]], 'g+')
sb = features["starburst"]
cr_bounds = sb["cr_boundary"]
pupil_bounds = sb["pupil_boundary"]
for b in cr_bounds:
plot([b[1]], [b[0]], "rx")
for b in pupil_bounds:
plot([b[1]], [b[0]], "rx")
#pw = 20;
#axis((cr_position[1]+pw, cr_position[0]+pw, cr_position[1]-pw, cr_position[0]-pw))
figure()
imshow(sobelified, interpolation="nearest")
cr_ray_start = sb["cr_rays_start"]
cr_ray_end = sb["cr_rays_end"]
pupil_ray_start = sb["pupil_rays_start"]
pupil_ray_end = sb["pupil_rays_end"]
for i in range(0, len(cr_ray_start)):
plot([cr_ray_start[i][1], cr_ray_end[i][1]],
[cr_ray_start[i][0], cr_ray_end[i][0]], 'r-')
for i in range(0, len(pupil_ray_start)):
plot([pupil_ray_start[i][1], pupil_ray_end[i][1]],
[pupil_ray_start[i][0], pupil_ray_end[i][0]], 'b-')
for b in cr_bounds:
plot([b[1]], [b[0]], "rx")
for b in pupil_bounds:
plot([b[1]], [b[0]], "rx")