"AssertionError "

[bahetibhakti]

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

[jakubLangr]

Hi @bahetibhakti did you solve this?