def validate(self):
self.is_train = False
init_op = tf.global_variables_initializer()
self.saver = tf.train.Saver()
self.sess.run(init_op)
if self.load(self.args.checkpoint_dir):
print(" [*] Load SUCCESS")
else:
print(" [!] Load failed...")
genSample = AbdomenSampler(self.args, 'validate')
# self.generator_sample_targetwise(genSample, )
outputdir = self.args.sample_dir + "/atlas_target/"
ds_all = []
bf_ds_all = []
jt_all = []
for img_fix, lab_fix in zip(genSample.img_fix, genSample.lab_fix):
output_dir = outputdir + get_name_wo_suffix(img_fix)
mk_or_cleardir(output_dir)
print(output_dir)
for img_mv, lab_mv in zip(genSample.img_mv, genSample.lab_mv):
bfds, ds = self.gen_one_batch(genSample, img_fix, lab_fix,
img_mv, lab_mv, output_dir)
# print("sim= %f"%ds)
ds_all.append(ds)
bf_ds_all.append(bfds)
# print(ds_all)
self.logger.debug("%s total_sim %s->%s " % (Get_Name_By_Index(
self.args.component), self.args.Tatlas, self.args.Ttarget))
print_mean_and_std(bf_ds_all)
print_mean_and_std(ds_all)
def validate(self):
self.build_cost()
self.meger_all()
init_op = tf.global_variables_initializer()
self.saver = tf.train.Saver()
self.sess.run(init_op)
if self.load(self.args.checkpoint_dir):
print(" [*] Load SUCCESS")
else:
print(" [!] Load failed...")
dices = []
for i in range(self.valid_sampler.len):
dices.append(self.sample_network(i))
print_mean_and_std(dices)
def validate(self):
self.is_train = False
init_op = tf.global_variables_initializer()
self.saver = tf.train.Saver()
self.sess.run(init_op)
if self.load(self.args.checkpoint_dir):
print(" [*] Load SUCCESS")
else:
print(" [!] Load failed...")
sims = []
for i in range(self.validate_sampler.len):
sim = self.__sample(i)
sims.append(sim)
print("%s total_sim %s->%s " % (Get_Name_By_Index(
self.args.component), self.args.Tatlas, self.args.Ttarget))
print_mean_and_std(sims)
def fusion(self):
self.is_train = False
init_op = tf.global_variables_initializer()
self.saver = tf.train.Saver()
self.sess.run(init_op)
if self.load(self.args.checkpoint_dir):
print(" [*] Load SUCCESS")
else:
print(" [!] Load failed...")
DSs = []
HDs = []
start = time.time()
for i in range(self.validate_sampler.len):
ds, hd = self.fusion_one_target(i)
DSs.append(ds)
HDs.append(hd)
end = time.time()
print("runtime: %.2f" % ((end - start) / self.validate_sampler.len))
print("%s total_sim %s->%s " % (Get_Name_By_Index(
self.args.component), self.args.Tatlas, self.args.Ttarget))
outpu2excel(self.args.res_excel, self.args.MOLD_ID + "_DS", DSs)
outpu2excel(self.args.res_excel, self.args.MOLD_ID + "_HD", HDs)
print_mean_and_std(DSs)
print_mean_and_std(HDs)