Skip to content
GitLab
Menu
Projects
Groups
Snippets
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Sign in
Toggle navigation
Menu
Open sidebar
Max Ehrlich
cdcnn
Commits
84dd7d06
Verified
Commit
84dd7d06
authored
Dec 04, 2018
by
Max Ehrlich
Browse files
Add model conversion experiment code
parent
1009394f
Changes
2
Hide whitespace changes
Inline
Side-by-side
experiments/__init__.py
0 → 100644
View file @
84dd7d06
experiments/model_conversion.py
0 → 100644
View file @
84dd7d06
import
models
import
torch
import
torch.optim
as
optim
import
argparse
import
data
import
models
device
=
torch
.
device
(
'cuda'
)
parser
=
argparse
.
ArgumentParser
()
parser
.
add_argument
(
'--models'
,
type
=
int
,
help
=
'Number of models to use'
)
parser
.
add_argument
(
'--epochs'
,
type
=
int
,
help
=
'Number of epochs to train for'
)
parser
.
add_argument
(
'--dataset'
,
choices
=
data
.
spatial_dataset_map
.
keys
(),
help
=
'Dataset to use'
)
parser
.
add_argument
(
'--batch_size'
,
type
=
int
,
help
=
'Batch size'
)
parser
.
add_argument
(
'--data'
,
help
=
'Root folder for the dataset'
)
args
=
parser
.
parse_args
()
spatial_accuracies
=
0
jpeg_accuracies
=
0
for
m
in
range
(
args
.
models
):
print
(
'Train spatial model {}/{}'
.
format
(
m
,
args
.
models
))
spatial_dataset
=
data
.
spatial_dataset_map
[
args
.
dataset
](
args
.
batch_size
,
args
.
data
)
dataset_info
=
data
.
dataset_info
[
args
.
dataset
]
spatial_model
=
models
.
SpatialResNet
(
dataset_info
[
'channels'
],
dataset_info
[
'classes'
]).
to
(
device
)
optimizer
=
optim
.
Adam
(
spatial_model
.
parameters
())
for
e
in
range
(
args
.
epochs
):
models
.
train
(
spatial_model
,
device
,
spatial_dataset
[
0
],
optimizer
,
e
)
models
.
test
(
spatial_model
,
device
,
spatial_dataset
[
1
])
acc
=
models
.
test
(
spatial_model
,
device
,
spatial_dataset
[
1
])
spatial_accuracies
+=
acc
print
(
'Convert model to JPEG'
)
jpeg_model
=
models
.
JpegResNetExact
(
spatial_model
).
to
(
device
)
print
(
'Test JPEG model'
)
jpeg_dataset
=
data
.
jpeg_dataset_map
[
args
.
dataset
](
args
.
batch_size
,
args
.
data
)
acc
=
models
.
test
(
jpeg_model
,
device
,
jpeg_dataset
[
1
])
jpeg_accuracies
+=
acc
spatial_accuracies
/=
args
.
models
jpeg_accuracies
/=
args
.
models
print
(
'Report'
)
print
(
'======'
)
print
(
'Number of Models: {}'
.
format
(
args
.
n_models
))
print
(
'Average Spatial Accuracy: {}'
.
format
(
spatial_accuracies
))
print
(
'Average JPEG Accuracy: {}'
.
format
(
jpeg_accuracies
))
print
(
'Deviation: {}'
.
format
(
spatial_accuracies
-
jpeg_accuracies
))
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment