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Functions373 in github.com/buaacxf/VIPTR

⨍ Functions 373◇ Types & classes 124
Methodforward
( self, x: torch.Tensor, incremental_state=None, chunkwise
modules/VIPTRv2T_ch.py:468
Methodforward
x: B H W C
modules/VIPTRv2T_ch.py:504
Methodforward
x: B L C
modules/VIPTRv2T_ch.py:568
Methodforward
x: B, H*W, C
modules/VIPTRv2T_ch.py:638
Methodforward
(self, x, size)
modules/VIPTRv2T_ch.py:720
Methodforward
(self, x)
modules/VIPTRv2T_ch.py:763
Methodforward
(self, x)
modules/VIPTRv2T_ch.py:856
Methodforward
x: (b h w c)
modules/VIPTRv1.py:29
Methodforward
(self, inputs)
modules/VIPTRv1.py:63
Methodforward
slen: (h, w) h * w == l recurrent is not implemented
modules/VIPTRv1.py:114
Methodforward
x: (b h w c) mask_h: (n h h) mask_w: (n w w)
modules/VIPTRv1.py:162
Methodforward
x: (b h w c) rel_pos: mask: (n l l)
modules/VIPTRv1.py:235
Methodforward
x: (b h w c)
modules/VIPTRv1.py:297
Methodforward
(self, x)
modules/VIPTRv1.py:330
Methodforward
(self, x)
modules/VIPTRv1.py:352
Methodforward
(self, x, size=None)
modules/VIPTRv1.py:406
Methodforward
(self, x, size, relative_pos_enc=None)
modules/VIPTRv1.py:448
Methodforward
(self, x, relative_pos_enc=None)
modules/VIPTRv1.py:506
Methodforward
( self, x: torch.Tensor, incremental_state=None, chunkwise_rec
modules/VIPTRv1.py:538
Methodforward
x: B H W C
modules/VIPTRv1.py:575
Methodforward
x: B L C
modules/VIPTRv1.py:639
Methodforward
x: B, H*W, C
modules/VIPTRv1.py:709
Methodforward
(self, x, size)
modules/VIPTRv1.py:813
Methodforward
(self, x)
modules/VIPTRv1.py:876
Methodforward
(self, x)
modules/VIPTRv1.py:971
Methodforward
(self, x)
modules/stn_head.py:83
Methodforward
(self, predicts, batch)
modules/rec_sar_loss.py:9
Methodforward
input: batch_H : contextual_feature H = hidden state of encoder. [batch_size x num_steps x contextual_feature_channels]
modules/prediction.py:23
Methodforward
(self, prev_hidden, batch_H, char_onehots)
modules/prediction.py:71
Methodforward
(self, logits: Tensor, targets_dict: dict, valid_ratios: Li
modules/dctc_loss.py:36
Methodforward
(self, input)
modules/feature_extraction.py:27
Methodforward
(self, input)
modules/feature_extraction.py:50
Methodforward
(self, input)
modules/feature_extraction.py:61
Methodforward
The input of GRCL is consistant over time t, which is denoted by u(0) thus wgf_u / wf_u is also consistant over time t.
modules/feature_extraction.py:81
Methodforward
(self, wgf_u, wgr_x, wf_u, wr_x)
modules/feature_extraction.py:105
Methodforward
(self, x)
modules/feature_extraction.py:135
Methodforward
(self, x)
modules/feature_extraction.py:211
Methodforward
(self, input, source_control_points)
modules/tps_spatial_transformer.py:95
Methodforward
x: (b h w c)
modules/VIPTRv2.py:28
Methodforward
(self, inputs)
modules/VIPTRv2.py:61
Methodforward
slen: (h, w) h * w == l recurrent is not implemented
modules/VIPTRv2.py:111
Methodforward
x: (b h w c) mask_h: (n h h) mask_w: (n w w)
modules/VIPTRv2.py:158
Methodforward
x: (b h w c) rel_pos: mask: (n l l)
modules/VIPTRv2.py:230
Methodforward
x: (b h w c)
modules/VIPTRv2.py:291
Methodforward
(self, x)
modules/VIPTRv2.py:323
Methodforward
(self, x)
modules/VIPTRv2.py:344
Methodforward
(self, x, size=None)
modules/VIPTRv2.py:397
Methodforward
(self, x, size, relative_pos_enc=None)
modules/VIPTRv2.py:438
Methodforward
(self, x, relative_pos_enc=None)
modules/VIPTRv2.py:498
Methodforward
( self, x: torch.Tensor, incremental_state=None, chunkwise_rec
modules/VIPTRv2.py:528
Methodforward
x: B H W C
modules/VIPTRv2.py:563
Methodforward
x: B L C
modules/VIPTRv2.py:627
Methodforward
x: B, H*W, C
modules/VIPTRv2.py:697
Methodforward
(self, x, size)
modules/VIPTRv2.py:841
Methodforward
(self, x)
modules/VIPTRv2.py:940
Methodforward
(self, x)
modules/VIPTRv2.py:1033
Methodforward
(self, batch_I)
modules/transformation.py:29
Methodforward
input: batch_I : Batch Input Image [batch_size x I_channel_num x I_height x I_width] output: batch_C_prime : Predicted coordin
modules/transformation.py:75
Functionget_no_weight_decay_param
(model, config)
optimizer.py:167
Functionget_warpAffine
get_warpAffine
dataload/dataAug.py:307
Functionget_warpR
get_warpR
dataload/dataAug.py:239
Methodlambda_func
(self, current_step)
optimizer.py:41
Methodlambda_func
(self, current_step)
optimizer.py:64
Methodlambda_func
(self, current_step)
optimizer.py:82
Methodlambda_func
(self, current_step)
optimizer.py:103
Methodlambda_func
(self, current_step, num_cycles=0.5)
optimizer.py:124
Methodlambda_func
(self, current_step, lr_init)
optimizer.py:154
Methodreset_parameters
(self)
modules/VIPTRv1-T_ch.py:291
Methodreset_parameters
(self)
modules/VIPTRv2T_ch.py:285
Methodreset_parameters
(self)
modules/VIPTRv1.py:291
Methodreset_parameters
(self)
modules/VIPTRv2.py:285
Functionsave_image
(image_numpy, image_path)
dataset.py:351
Functiontensor2im
(image_tensor, imtype=np.uint8)
dataset.py:343
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