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ModelZoo
ResNet50_tensorflow
Commits
7c2ff1af
Commit
7c2ff1af
authored
Jul 22, 2021
by
Xianzhi Du
Committed by
A. Unique TensorFlower
Jul 22, 2021
Browse files
Internal change
PiperOrigin-RevId: 386344633
parent
7bfd14d1
Changes
2
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2 changed files
with
30 additions
and
1 deletion
+30
-1
official/vision/beta/modeling/backbones/mobilenet.py
official/vision/beta/modeling/backbones/mobilenet.py
+2
-1
official/vision/beta/modeling/decoders/fpn_test.py
official/vision/beta/modeling/decoders/fpn_test.py
+28
-0
No files found.
official/vision/beta/modeling/backbones/mobilenet.py
View file @
7c2ff1af
...
...
@@ -592,8 +592,9 @@ class MobileNet(tf.keras.Model):
x
,
endpoints
,
next_endpoint_level
=
self
.
_mobilenet_base
(
inputs
=
inputs
)
endpoints
[
str
(
next_endpoint_level
)]
=
x
self
.
_output_specs
=
{
l
:
endpoints
[
l
].
get_shape
()
for
l
in
endpoints
}
# Don't include the final layer in `self._output_specs` to support decoders.
endpoints
[
str
(
next_endpoint_level
)]
=
x
super
(
MobileNet
,
self
).
__init__
(
inputs
=
inputs
,
outputs
=
endpoints
,
**
kwargs
)
...
...
official/vision/beta/modeling/decoders/fpn_test.py
View file @
7c2ff1af
...
...
@@ -19,6 +19,7 @@
from
absl.testing
import
parameterized
import
tensorflow
as
tf
from
official.vision.beta.modeling.backbones
import
mobilenet
from
official.vision.beta.modeling.backbones
import
resnet
from
official.vision.beta.modeling.decoders
import
fpn
...
...
@@ -52,6 +53,33 @@ class FPNTest(parameterized.TestCase, tf.test.TestCase):
[
1
,
input_size
//
2
**
level
,
input_size
//
2
**
level
,
256
],
feats
[
str
(
level
)].
shape
.
as_list
())
@
parameterized
.
parameters
(
(
256
,
3
,
7
,
False
),
(
256
,
3
,
7
,
True
),
)
def
test_network_creation_with_mobilenet
(
self
,
input_size
,
min_level
,
max_level
,
use_separable_conv
):
"""Test creation of FPN with mobilenet backbone."""
tf
.
keras
.
backend
.
set_image_data_format
(
'channels_last'
)
inputs
=
tf
.
keras
.
Input
(
shape
=
(
input_size
,
input_size
,
3
),
batch_size
=
1
)
backbone
=
mobilenet
.
MobileNet
(
model_id
=
'MobileNetV2'
)
network
=
fpn
.
FPN
(
input_specs
=
backbone
.
output_specs
,
min_level
=
min_level
,
max_level
=
max_level
,
use_separable_conv
=
use_separable_conv
)
endpoints
=
backbone
(
inputs
)
feats
=
network
(
endpoints
)
for
level
in
range
(
min_level
,
max_level
+
1
):
self
.
assertIn
(
str
(
level
),
feats
)
self
.
assertAllEqual
(
[
1
,
input_size
//
2
**
level
,
input_size
//
2
**
level
,
256
],
feats
[
str
(
level
)].
shape
.
as_list
())
def
test_serialize_deserialize
(
self
):
# Create a network object that sets all of its config options.
kwargs
=
dict
(
...
...
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