Re-training/Fine-Tuning results in bad output

[sbhatia4]

Hi,

ReadMe says about Training as following, but in reality, I don't see the same output after re-training either with Training or Val dataset of cityscapes.

To give you an idea: IoU Class number using pre-trained network - 73.5, whereas, if I train with Training Cityscapes dataset - IoU class number drops to 38.2 while evaluating the Val dataset of Cityscapes.

Any help would be appreciated. Thanks a lot!!

Training
Train and evaluate a model with the following commands:

python train.py --static lrr --flow flownet2
python evaluate.py --static lrr --flow flownet2 --ckpt lrr_flownet2_it10000
This should match the performance of the pre-trained LRR model above. See the ./checkpoints directory where parameters are saved during the training procedure. Only LRR is supported at the moment.