How could you use the pre-trained model to do model finetuning? When I add the path of the pre-trained model to finetune_csk+k_resnet_256.sh, it outputs some errors below. Compared with
Clement Pinard's SfMLearner implementation, your train.py has changed something (just like output_writers)about the part. What do you think about it?
=> creating model
=> using pre-trained weights for PoseNet
=> using pre-trained weights for DispNet
=> setting adam solver
N/A% (0 of 200) | | Elapsed Time: 0:00:00 ETA: --:--:--
Traceback (most recent call last):
File "train.py", line 423, in
main()
File "train.py", line 190, in main
100% (472 of 472) |########################################################################| Elapsed Time: 0:00:00 ETA: 00:00:00
NameError: name 'output_writers' is not defined
Hi Jiawang @JiawangBian ,
How could you use the pre-trained model to do model finetuning? When I add the path of the pre-trained model to
finetune_csk+k_resnet_256.sh
, it outputs some errors below. Compared with Clement Pinard's SfMLearner implementation, yourtrain.py
has changed something (just likeoutput_writers
)about the part. What do you think about it?Regards, Yu