Performance of frrnA on Cityscapes about pytorch-semseg

[meetps]

Nope, I wasn't able to match the paper results.

After careful perusal of the paper, the only difference seems be that of the optimizer (Adam [We use SGD with momentum]) and that the paper uses nearest neighbour interpolation in the FRRUs, we use bilinear interpolation.

[victorjdcom]

i am using this config file for the cityscapes:

model:
arch: fcn8s
data:
dataset: cityscapes
train_split: train
val_split: val
img_rows: '256'
img_cols: '512'
path: /home/victor/data/cityscapes
training:
train_iters: 300000
batch_size: 1
val_interval: 1000
n_workers: 16
print_interval: 50
optimizer:
name: 'sgd'
lr: 1.0e-10
weight_decay: 0.0005
momentum: 0.99
loss:
name: 'cross_entropy'
size_average: False
lr_schedule:
resume: fcn8s_cityscape_best_model.pkl

got error for: "No files for split=[%s] found in %s" % (split, self.images_base)

any idea?
thanks