def FromImages(tcname, id_discdds, image1, image2, true_plan=None):
discdds = get_conftools_discdds().instance(id_discdds)
shape = discdds.get_shape()
images = get_conftools_uncertain_images()
y0 = images.instance(image1).resize(shape)
y1 = images.instance(image2).resize(shape)
tc = TestCase(id_tc=tcname, id_discdds=id_discdds,
y0=y0, y1=y1, true_plan=true_plan)
return tc
def FromImages(tcname, id_discdds, image1, image2, true_plan=None):
discdds = get_conftools_discdds().instance(id_discdds)
shape = discdds.get_shape()
images = get_conftools_uncertain_images()
y0 = images.instance(image1).resize(shape)
y1 = images.instance(image2).resize(shape)
tc = TestCase(id_tc=tcname,
id_discdds=id_discdds,
y0=y0,
y1=y1,
true_plan=true_plan)
return tc
def ManualMotion(tcname, id_discdds, id_image, planstring):
discdds = get_conftools_discdds().instance(id_discdds)
shape = discdds.get_shape()
images = get_conftools_uncertain_images()
y0 = images.instance(id_image).resize(shape)
chars = "abcdefghilmnopqrst"
char2int = dict([(c, i) for i, c in enumerate(chars)])
plan = tuple(map(char2int.__getitem__, planstring))
# predict the result
y1 = discdds.predict(y0, plan)
tc = TestCase(id_tc=tcname, id_discdds=id_discdds,
y0=y0, y1=y1, true_plan=plan)
return tc
def ManualMotion(tcname, id_discdds, id_image, planstring):
discdds = get_conftools_discdds().instance(id_discdds)
shape = discdds.get_shape()
images = get_conftools_uncertain_images()
y0 = images.instance(id_image).resize(shape)
chars = "abcdefghilmnopqrst"
char2int = dict([(c, i) for i, c in enumerate(chars)])
plan = tuple(map(char2int.__getitem__, planstring))
# predict the result
y1 = discdds.predict(y0, plan)
tc = TestCase(id_tc=tcname,
id_discdds=id_discdds,
y0=y0,
y1=y1,
true_plan=plan)
return tc
def report_dds(id_discdds, discdds, image='lena'):
r = Report('dds-%s' % (id_discdds))
y0 = get_conftools_uncertain_images().instance(image)
discdds.display(r, y0)
return r
def report_dds(id_discdds, discdds, image='lena'):
r = Report('dds-%s' % (id_discdds))
y0 = get_conftools_uncertain_images().instance(image)
discdds.display(r, y0)
return r