RuntimeError: expected a non-empty list of Tensors about fots HOT 2 OPEN

Hi @xieyufei1993, when training model I got an error such as:
(fots) loitg@loitg-Precision-T3600:~/Desktop/tu_workspace/FOTS$ python main_train.py
use config:
initial_epoch 0
epoch_num 30000
lr 0.001
decay 0.0005
use_gpu True
batch_size 64
num_workers 10
optmizer RMSprop
betas (0.5, 0.999)
epsilon 0.0001
shrink_side_ratio 0.6
shrink_ratio 0.2
model FOTS
patience 2
load_weights False
lambda_inside_score_loss 4.0
lambda_side_vertex_code_loss 1.0
lambda_side_vertex_coord_loss 1.0
load_model_path checkpoints/model.pth
save_path save_model/
total_img 16243
validation_split_ratio 0.1
max_train_img_size 736
max_predict_img_size 2400
parse <bound method parse of <config.DefaultConfig object at 0x7fe4ff6d5cc0>>
end the parse!!!

Epoch 1 / 30000
Traceback (most recent call last):
File "main_train.py", line 95, in
main()
File "main_train.py", line 90, in main
save_step=5, weight_decay=weight_decay)
File "main_train.py", line 32, in train
for i, (img, score_map, geo_map, training_mask) in enumerate(trainloader):
File "/home/loitg/miniconda3/envs/fots/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 582, in next
return self._process_next_batch(batch)
File "/home/loitg/miniconda3/envs/fots/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 608, in _process_next_batch
raise batch.exc_type(batch.exc_msg)
RuntimeError: Traceback (most recent call last):
File "/home/loitg/miniconda3/envs/fots/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 99, in _worker_loop
samples = collate_fn([dataset[i] for i in batch_indices])
File "/home/loitg/Desktop/tu_workspace/FOTS/data/dataset.py", line 672, in collate_fn
images = torch.stack(images, 0)
RuntimeError: expected a non-empty list of Tensors

How to fix this error ?. I hope to see your reply soon.

I am facing the exact error. if someone has workaround, please let me know.

from fots.

If you are using ICDAR dataset, the annotation text file normally has "gt_" before the image name.
So you need to edit your dataset.py file starting from line 581 as below:
if os.path.exists(txt_root + "/gt_"+im_name[0:-4] + '.txt'): txt_fn = "gt_"+im_name[0:-4] + '.txt' elif os.path.exists(txt_root + "/gt_"+im_name[0:-5] + '.txt'): txt_fn = "gt_"+im_name[0:-5] + '.txt'

from fots.