image = Image.from_filepath("../../../../test/images/cookiejar.jpg")
#image = Image.from_filepath("../../../../test/images/buff_small.png")
import time
t1 = time.time()
print("Starting")
result = alphamatte(image.data)
t2 = time.time()
print("Done (in %2.2f seconds)!" % (t2-t1))
filename = image.filename
image.to_rgba()
image[..., 3] = result
"""
image = image[...,0]
image = Image(image)
image.to_rgb()
image[..., 0] = result
image[..., 1] = result
image[..., 2] = result
"""
from PIL import Image as PILImage
green = Image.from_any(PILImage.new('RGBA', (image.shape[1], image.shape[0]), color=(0,255,0,255)))
from inception.image.operation.merge import MergeOperation
mop = MergeOperation([green, image]).run()
mop.save(filename.rsplit('.',1)[0] + '_greencomp.png')
Image.from_any(result).save(filename.rsplit('.',1)[0] + '_matte.png')
image = ScaleOperation(image, image.width/3.0).run()
offset = 20, 200
pickle_path = bg.filename.rsplit('.', 1)[0] + '.scene.pkl'
#pickle_path = bg.filename.rsplit('/',1)[0] + '/definitive.vanishing.pkl'
import cPickle
if (os.path.exists(pickle_path)):
with open(pickle_path, 'r') as f:
sd = cPickle.load(f)
print("Detected vanishing points (x,y,z): %s" % sd.get_vanishing_points())
print("Focal length: %s" % sd.focal_length)
print(sd.vpestimator.vanishing_points)
else:
sd = estimate_scene_description(bg)
with open(pickle_path, 'w') as f:
cPickle.dump(sd, f)
bg.scene_description = sd
shadow = Image.from_any(create_shadow(image, bg, offset=offset, scene_description=None, skip_soften=True))
image[...,3] *= .5
mop = MergeOperation([bg, shadow, image], offsets=[(0,0),(0,0),offset]).run()
mop.save(filename.rsplit('.',1)[0] + '_shadowcomp.png')
"""
green = Image.from_any(PILImage.new('RGBA', (image.shape[1], image.shape[0]), color=(0,255,0,255)))
mop = MergeOperation([green, shadow]).run()
mop.save(filename.rsplit('.',1)[0] + '_greencomp.png')
"""
Image.from_any(shadow).save(filename.rsplit('.',1)[0] + '_matte.png')
from inception.image.analyze import *
if __name__ == '__main__':
import os
import urllib, cStringIO
from inception.image.image import Image
urlfilepath = "../../../test/urls.txt"
urls = []
if os.path.exists(urlfilepath):
with open(urlfilepath) as fileobj:
urls = [l.strip() for l in fileobj.readlines() if l.strip()]
for url in urls:
fileobj = cStringIO.StringIO(urllib.urlopen(url).read())
img = Image.from_any(fileobj)
print validate_as_foreground(img), url
foregroundImage.filename = matteImage.filename
# test the images
for i in range(len(backgroundImages)):
bg = backgroundImages[i]
fg = i + 1 if (i < len(backgroundImages) - 1) else 0
fg = foregroundImages[fg]
print("-------- Running on %s over %s ----------" % (os.path.basename(fg.filename), os.path.basename(bg.filename)))
results = statadjust(fg.data, bg.data, intermediary_results=True)
suffix = ['before_0','contrast_1','lum_2', 'cct_3','sat_4']
if not os.path.exists(testdir+'/results'):
os.makedirs(testdir+'/results')
for i, result in enumerate([fg.data] + results):
print("Merging to form %s" % suffix[i])
merger = merge.MergeOperation([bg, Image.from_any(result)], offsets=[(0,0),(0,0)]).run()
#merger = Image.from_any(result[..., 3])
merger.save(testdir + '/results/%s_%s.jpg' % (os.path.basename(bg.filename).rsplit('.',1)[0],suffix[i]))
"""
x = backgroundImages[0]
Image.from_any(x.data).save(testdir+'/orig.png')
newspace = srgb_to_linear(x.data)
Image.from_any(linear_to_srgb(setlog2luminance(newspace, -2.5).clip(0,1))).save(testdir+'/foo.png')
"""
#x = Image.from_filepath("./a0711-WP_IMG_1592.jpg")
#Image.from_any(x.data).save("orig.png")
#Image.from_any(getluminance(x.data)).save("lum.png")
#Image.from_any(srgb_to_linear(x.data)).save("linear.png")
#Image.from_any(linear_to_srgb(srgb_to_linear(x.data))).save("roundtrip.png")
#Image.from_any(hsv_to_rgb(rgb_to_hsv(x.data))).save("hsvround.png")