Can not reproduce training result

[makemota]

As it has been mentioned in issue #9 "DAVIS datafiles uncomplete":
"datafiles.tar in provided "Google Drive" download link consists only triangulation data.
There are no "JPEGImages/1080p" and "Annotation//1080p" folders that "python ./scripts/preprocess/davis/generate_frame_midas.py" refers to."
So, I manually downloaded missing data from https://data.vision.ee.ethz.ch/csergi/share/davis/DAVIS-2017-Unsupervised-trainval-Full-Resolution.zip
After that the structure as follow:

├── datafiles
    ├── DAVIS
        ├── Annotations  --- missing in supplied download links, downloaded manually from DAVIS datasets 
            ├── 1080p
                ├── dog
                ├── train
        ├── JPEGImages  --- missing in supplied download links, downloaded manually from DAVIS datasets 
            ├── 1080p
                ├── dog
                ├── train
        ├── triangulation -- data from supplied link

Only after that I could successfully performed all steps of suggested in "Davis data preparation":

1. Run python ./scripts/preprocess/davis/generate_frame_midas.py.
2. Run python ./scripts/preprocess/davis/generate_flows.py
3. Run python ./scripts/preprocess/davis/generate_sequence_midas.py

However still couldn't reproduce the presented result, running:
bash ./experiments/davis/train_sequence.sh 0 --track_id dog

Output & Stacktrace:

D:\dynamic-video-depth-main>bash ./experiments/davis/train_sequence.sh 0 --track_id dog
python train.py --net scene_flow_motion_field --dataset davis_sequence --track_id train --log_time --epoch_batches 2000 --epoch 20 --lr 1e-6 --html_logger --vali_batches 150 --batch_size 1 --optim adam --vis_batches_vali 4 --vis_every_vali 1 --vis_every_train 1 --vis_batches_train 5 --vis_at_start --tensorboard --gpu 0 --save_net 1 --workers 4 --one_way --loss_type l1 --l1_mul 0 --acc_mul 1 --disp_mul 1 --warm_sf 5 --scene_lr_mul 1000 --repeat 1 --flow_mul 1 --sf_mag_div 100 --time_dependent --gaps 1,2,4,6,8 --midas --use_disp --logdir './checkpoints/davis/sequence/' --suffix 'track_{track_id}_{loss_type}_wreg_{warm_reg}_acc_{acc_mul}_disp_{disp_mul}_flowmul_{flow_mul}_time_{time_dependent}_CNN_{use_cnn}_gap_{gaps}_Midas_{midas}_ud_{use_disp}' --test_template './experiments/davis/test_cmd.txt' --force_overwrite --track_id dog
  File "train.py", line 106
    str_warning, f'ignoring the gpu set up in opt: {opt.gpu}. Will use all gpus in each node.')
                                                                                             ^
SyntaxError: invalid syntax

Noticed that there is no folder named ".checkpoints"

Similar issue has been mentioned in issue #8 "SyntaxError: invalid syntax"

Specs:
Windows 10
Anaconda: conda 4.11.0
Python 3.7.10
GPU 12Gb Quadro M6000
All specified dependencies including RAFT are installed