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Functions58 in github.com/Liumouliu/OriCNN

⨍ Functions 58◇ Types & classes 6
↓ 4 callersMethodcreate_generator_gem_pooling_shallow_concatLast3conv
(self, generator_inputs, name='sat_sem', trainable=True,
CVPR2019_codes/OriNet_CVACT/encoder_net.py:34
↓ 4 callersMethodcreate_generator_gem_pooling_shallow_concatLast3conv
(self, generator_inputs, name='sat_sem', trainable=True,
CVPR2019_codes/OriNet_CVUSA/encoder_net.py:34
↓ 4 callersMethodget_test_dataset_size
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT.py:296
↓ 4 callersMethodget_test_dataset_size
(self)
CVPR2019_codes/OriNet_CVUSA/input_data_rgb_ori_m1_1_augument.py:200
↓ 3 callersMethodnext_batch_scan
(self, batch_size)
CVPR2019_codes/OriNet_CVACT/input_data_ACT.py:91
↓ 2 callersMethodgen_conv
(self, batch_input, out_channels)
CVPR2019_codes/OriNet_CVACT/encoder_net.py:10
↓ 2 callersMethodgen_conv
(self, batch_input, out_channels)
CVPR2019_codes/OriNet_CVUSA/encoder_net.py:10
↓ 2 callersMethodnext_batch_scan
(self, batch_size)
CVPR2019_codes/OriNet_CVUSA/input_data_rgb_ori_m1_1_augument.py:58
↓ 2 callersMethodreset_scan
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT.py:299
↓ 2 callersMethodreset_scan
(self)
CVPR2019_codes/OriNet_CVUSA/input_data_rgb_ori_m1_1_augument.py:203
↓ 1 callersFunction_repeat
(x, n_repeats)
CVPR2019_codes/OriNet_CVACT/ops.py:84
↓ 1 callersFunction_repeat
(x, n_repeats)
CVPR2019_codes/OriNet_CVUSA/ops.py:84
↓ 1 callersMethodbatchnorm
(self, inputs)
CVPR2019_codes/OriNet_CVACT/encoder_net.py:28
↓ 1 callersMethodbatchnorm
(self, inputs)
CVPR2019_codes/OriNet_CVUSA/encoder_net.py:28
↓ 1 callersFunctioncompute_loss
(sat_global, grd_global, utms_x, UTMthres, batch_hard_count=0)
CVPR2019_codes/OriNet_CVACT/train_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_ACT.py:37
↓ 1 callersFunctioncompute_loss
(sat_global, grd_global, utms_x, UTMthres, batch_hard_count=0)
CVPR2019_codes/OriNet_CVACT/eval_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_ACT.py:38
↓ 1 callersFunctioncompute_loss
Compute the weighted soft-margin triplet loss :param sat_global: the satellite image global descriptor :param grd_global: the ground imag
CVPR2019_codes/OriNet_CVUSA/train_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_augment.py:34
↓ 1 callersFunctioncompute_loss
Compute the weighted soft-margin triplet loss :param sat_global: the satellite image global descriptor :param grd_global: the ground imag
CVPR2019_codes/OriNet_CVUSA/eval_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_augment.py:39
↓ 1 callersFunctionextract_value
z : b x h x w x c tensor locs : b x n x 2 tensor
CVPR2019_codes/OriNet_CVACT/ops.py:61
↓ 1 callersFunctionextract_value
z : b x h x w x c tensor locs : b x n x 2 tensor
CVPR2019_codes/OriNet_CVUSA/ops.py:61
↓ 1 callersFunctioninterpolate
(im, X, Y)
CVPR2019_codes/OriNet_CVACT/ops.py:92
↓ 1 callersFunctioninterpolate
(im, X, Y)
CVPR2019_codes/OriNet_CVUSA/ops.py:92
↓ 1 callersMethodlrelu
(self, x, a)
CVPR2019_codes/OriNet_CVACT/encoder_net.py:17
↓ 1 callersMethodlrelu
(self, x, a)
CVPR2019_codes/OriNet_CVUSA/encoder_net.py:17
↓ 1 callersMethodnext_batch_scan
(self, batch_size)
CVPR2019_codes/OriNet_CVACT/input_data_VGG.py:92
↓ 1 callersMethodnext_batch_scan
(self, batch_size)
CVPR2019_codes/OriNet_CVACT/input_data_ACT_test.py:91
↓ 1 callersMethodnext_pair_batch
(self, batch_size)
CVPR2019_codes/OriNet_CVACT/input_data_ACT.py:167
↓ 1 callersMethodnext_pair_batch
(self, batch_size)
CVPR2019_codes/OriNet_CVUSA/input_data_rgb_ori_m1_1_augument.py:110
↓ 1 callersFunctiontrain
Train the network and do the test :param start_epoch: the epoch id start to train. The first epoch is 1.
CVPR2019_codes/OriNet_CVACT/train_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_ACT.py:67
↓ 1 callersFunctiontrain
Train the network and do the test :param start_epoch: the epoch id start to train. The first epoch is 1.
CVPR2019_codes/OriNet_CVACT/eval_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_ACT.py:68
↓ 1 callersFunctiontrain
Train the network and do the test :param start_epoch: the epoch id start to train. The first epoch is 1.
CVPR2019_codes/OriNet_CVUSA/train_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_augment.py:74
↓ 1 callersFunctiontrain
Train the network and do the test :param start_epoch: the epoch id start to train. The first epoch is 1.
CVPR2019_codes/OriNet_CVUSA/eval_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_augment.py:79
↓ 1 callersFunctionvalidate
(grd_descriptor, sat_descriptor)
CVPR2019_codes/OriNet_CVACT/train_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_ACT.py:21
↓ 1 callersFunctionvalidate
(grd_descriptor, sat_descriptor)
CVPR2019_codes/OriNet_CVACT/eval_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_ACT.py:22
↓ 1 callersFunctionvalidate
(grd_descriptor, sat_descriptor)
CVPR2019_codes/OriNet_CVUSA/train_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_augment.py:18
↓ 1 callersFunctionvalidate
(grd_descriptor, sat_descriptor)
CVPR2019_codes/OriNet_CVUSA/eval_deep6_scratch_m1_1_concat3conv_rgb_ori_gem_augment.py:23
Method__init__
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT.py:31
Method__init__
(self)
CVPR2019_codes/OriNet_CVACT/input_data_VGG.py:29
Method__init__
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT_test.py:28
Method__init__
(self)
CVPR2019_codes/OriNet_CVUSA/input_data_rgb_ori_m1_1_augument.py:17
Functionconstant_variable
(var_shape, value=0.0, name='biases')
CVPR2019_codes/OriNet_CVACT/ops.py:5
Functionconstant_variable
(var_shape, value=0.0, name='biases')
CVPR2019_codes/OriNet_CVUSA/ops.py:5
Functionextract_values
(zs, locs)
CVPR2019_codes/OriNet_CVACT/ops.py:79
Functionextract_values
(zs, locs)
CVPR2019_codes/OriNet_CVUSA/ops.py:79
Methodget_dataset_size
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT.py:293
Methodget_dataset_size
(self)
CVPR2019_codes/OriNet_CVACT/input_data_VGG.py:229
Methodget_dataset_size
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT_test.py:275
Methodget_dataset_size
(self)
CVPR2019_codes/OriNet_CVUSA/input_data_rgb_ori_m1_1_augument.py:197
Methodget_test_dataset_size
(self)
CVPR2019_codes/OriNet_CVACT/input_data_VGG.py:232
Methodget_test_dataset_size
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT_test.py:278
Methodnext_pair_batch
(self, batch_size)
CVPR2019_codes/OriNet_CVACT/input_data_VGG.py:147
Methodnext_pair_batch
(self, batch_size)
CVPR2019_codes/OriNet_CVACT/input_data_ACT_test.py:167
Methodreset_scan
(self)
CVPR2019_codes/OriNet_CVACT/input_data_VGG.py:235
Methodreset_scan
(self)
CVPR2019_codes/OriNet_CVACT/input_data_ACT_test.py:281
Functiontrace_locations_backward
loc_x/y: pixel location in last feature map im_size: size of the smallest feature map feat_size: size of feature maps
CVPR2019_codes/OriNet_CVACT/ops.py:35
Functiontrace_locations_backward
loc_x/y: pixel location in last feature map im_size: size of the smallest feature map feat_size: size of feature maps
CVPR2019_codes/OriNet_CVUSA/ops.py:35
Functiontrace_locations_forward
loc_x/y: pixel location in input image im_size: size of input image feat_size: size of feature maps
CVPR2019_codes/OriNet_CVACT/ops.py:9
Functiontrace_locations_forward
loc_x/y: pixel location in input image im_size: size of input image feat_size: size of feature maps
CVPR2019_codes/OriNet_CVUSA/ops.py:9