Python nets.resnet_v1.resnet_v1_200() Examples
The following are 4
code examples of nets.resnet_v1.resnet_v1_200().
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Example #1
| Source File: resnet_v1_test.py From morph-net with Apache License 2.0 | 5 votes |
|
def testMinBaseDepth(self):
resnets = [
resnet_v1.resnet_v1_50, resnet_v1.resnet_v1_101,
resnet_v1.resnet_v1_152, resnet_v1.resnet_v1_200
]
resnet_names = [
'resnet_v1_50', 'resnet_v1_101', 'resnet_v1_152', 'resnet_v1_200'
]
for resnet, resnet_name in zip(resnets, resnet_names):
min_base_depth = 5
global_pool = True
num_classes = 10
inputs = create_test_input(2, 224, 224, 3)
with slim.arg_scope(resnet_utils.resnet_arg_scope()):
_, end_points = resnet(
inputs,
num_classes,
global_pool=global_pool,
min_base_depth=min_base_depth,
depth_multiplier=0,
scope=resnet_name)
for block in ['block1', 'block2', 'block3', 'block4']:
block_name = resnet_name + '/' + block
self.assertTrue(block_name in end_points)
self.assertEqual(
len(end_points[block_name].get_shape().as_list()), 4)
# The output depth is 4 times base_depth.
depth_expected = min_base_depth * 4
self.assertEqual(
end_points[block_name].get_shape().as_list()[3], depth_expected)
Example #2
| Source File: resnet_v1_test.py From models with Apache License 2.0 | 5 votes |
|
def testMinBaseDepth(self):
resnets = [
resnet_v1.resnet_v1_50, resnet_v1.resnet_v1_101,
resnet_v1.resnet_v1_152, resnet_v1.resnet_v1_200
]
resnet_names = [
'resnet_v1_50', 'resnet_v1_101', 'resnet_v1_152', 'resnet_v1_200'
]
for resnet, resnet_name in zip(resnets, resnet_names):
min_base_depth = 5
global_pool = True
num_classes = 10
inputs = create_test_input(2, 224, 224, 3)
with slim.arg_scope(resnet_utils.resnet_arg_scope()):
_, end_points = resnet(
inputs,
num_classes,
global_pool=global_pool,
min_base_depth=min_base_depth,
depth_multiplier=0,
scope=resnet_name)
for block in ['block1', 'block2', 'block3', 'block4']:
block_name = resnet_name + '/' + block
self.assertTrue(block_name in end_points)
self.assertEqual(
len(end_points[block_name].get_shape().as_list()), 4)
# The output depth is 4 times base_depth.
depth_expected = min_base_depth * 4
self.assertEqual(
end_points[block_name].get_shape().as_list()[3], depth_expected)
Example #3
| Source File: resnet_v1_test.py From morph-net with Apache License 2.0 | 4 votes |
|
def testDepthMultiplier(self):
resnets = [
resnet_v1.resnet_v1_50, resnet_v1.resnet_v1_101,
resnet_v1.resnet_v1_152, resnet_v1.resnet_v1_200
]
resnet_names = [
'resnet_v1_50', 'resnet_v1_101', 'resnet_v1_152', 'resnet_v1_200'
]
for resnet, resnet_name in zip(resnets, resnet_names):
depth_multiplier = 0.25
global_pool = True
num_classes = 10
inputs = create_test_input(2, 224, 224, 3)
with slim.arg_scope(resnet_utils.resnet_arg_scope()):
scope_base = resnet_name + '_base'
_, end_points_base = resnet(
inputs,
num_classes,
global_pool=global_pool,
min_base_depth=1,
scope=scope_base)
scope_test = resnet_name + '_test'
_, end_points_test = resnet(
inputs,
num_classes,
global_pool=global_pool,
min_base_depth=1,
depth_multiplier=depth_multiplier,
scope=scope_test)
for block in ['block1', 'block2', 'block3', 'block4']:
block_name_base = scope_base + '/' + block
block_name_test = scope_test + '/' + block
self.assertTrue(block_name_base in end_points_base)
self.assertTrue(block_name_test in end_points_test)
self.assertEqual(
len(end_points_base[block_name_base].get_shape().as_list()), 4)
self.assertEqual(
len(end_points_test[block_name_test].get_shape().as_list()), 4)
self.assertListEqual(
end_points_base[block_name_base].get_shape().as_list()[:3],
end_points_test[block_name_test].get_shape().as_list()[:3])
self.assertEqual(
int(depth_multiplier *
end_points_base[block_name_base].get_shape().as_list()[3]),
end_points_test[block_name_test].get_shape().as_list()[3])
Example #4
| Source File: resnet_v1_test.py From models with Apache License 2.0 | 4 votes |
|
def testDepthMultiplier(self):
resnets = [
resnet_v1.resnet_v1_50, resnet_v1.resnet_v1_101,
resnet_v1.resnet_v1_152, resnet_v1.resnet_v1_200
]
resnet_names = [
'resnet_v1_50', 'resnet_v1_101', 'resnet_v1_152', 'resnet_v1_200'
]
for resnet, resnet_name in zip(resnets, resnet_names):
depth_multiplier = 0.25
global_pool = True
num_classes = 10
inputs = create_test_input(2, 224, 224, 3)
with slim.arg_scope(resnet_utils.resnet_arg_scope()):
scope_base = resnet_name + '_base'
_, end_points_base = resnet(
inputs,
num_classes,
global_pool=global_pool,
min_base_depth=1,
scope=scope_base)
scope_test = resnet_name + '_test'
_, end_points_test = resnet(
inputs,
num_classes,
global_pool=global_pool,
min_base_depth=1,
depth_multiplier=depth_multiplier,
scope=scope_test)
for block in ['block1', 'block2', 'block3', 'block4']:
block_name_base = scope_base + '/' + block
block_name_test = scope_test + '/' + block
self.assertTrue(block_name_base in end_points_base)
self.assertTrue(block_name_test in end_points_test)
self.assertEqual(
len(end_points_base[block_name_base].get_shape().as_list()), 4)
self.assertEqual(
len(end_points_test[block_name_test].get_shape().as_list()), 4)
self.assertListEqual(
end_points_base[block_name_base].get_shape().as_list()[:3],
end_points_test[block_name_test].get_shape().as_list()[:3])
self.assertEqual(
int(depth_multiplier *
end_points_base[block_name_base].get_shape().as_list()[3]),
end_points_test[block_name_test].get_shape().as_list()[3])
