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.
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.