"AssertionError " #31

Thanks for the "Dilated Residual Networks" pipeline. I have followed all the instructions mentioned in the documentation. However I have encountered across following error. Is anyone able to run the complete training pipeline?

(py36) gpu3@GPU3:~/anue/drn-master$ python3 segment.py train -d /home/gpu3/anue/drn-master/datasets/ -c 19 -s 896 --arch drn_d_22 --batch-size 32 --epochs 250 --lr 0.01 --momentum 0.9 --step 100
segment.py train -d /home/gpu3/anue/drn-master/datasets/ -c 19 -s 896 --arch drn_d_22 --batch-size 32 --epochs 250 --lr 0.01 --momentum 0.9 --step 100
Namespace(arch='drn_d_22', batch_size=32, bn_sync=False, classes=19, cmd='train', crop_size=896, data_dir='/home/gpu3/anue/drn-master/datasets/', epochs=250, evaluate=False, list_dir=None, load_rel=None, lr=0.01, lr_mode='step', momentum=0.9, ms=False, phase='val', pretrained='', random_rotate=0, random_scale=0, resume='', step=100, test_suffix='', weight_decay=0.0001, with_gt=False, workers=8)
segment.py train -d /home/gpu3/anue/drn-master/datasets/ -c 19 -s 896 --arch drn_d_22 --batch-size 32 --epochs 250 --lr 0.01 --momentum 0.9 --step 100
data_dir : /home/gpu3/anue/drn-master/datasets/
cmd : train
list_dir : None
classes : 19
crop_size : 896
step : 100
arch : drn_d_22
batch_size : 32
epochs : 250
lr : 0.01
lr_mode : step
momentum : 0.9
weight_decay : 0.0001
evaluate : False
resume :
pretrained :
workers : 8
load_rel : None
phase : val
random_scale : 0
random_rotate : 0
bn_sync : False
ms : False
with_gt : False
test_suffix :
Traceback (most recent call last):
File "segment.py", line 745, in
main()
File "segment.py", line 739, in main
train_seg(args)
File "segment.py", line 371, in train_seg
list_dir=args.list_dir),
File "segment.py", line 133, in init
self.read_lists()
File "segment.py", line 157, in read_lists
assert len(self.image_list) == len(self.label_list)
AssertionError