hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)
backupfrom https://github.com/ttpro1995/crowd_counting_framework
Clone URLs: https://rocketgit.com/user/hahattpro/crowd_counting_framework ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework git://git.rocketgit.com/user/hahattpro/crowd_counting_framework
debug/a-1 develop feature/add_can_adcrowdnet feature/add_context_aware_network feature/attn_can_adcrowd_simple feature/cache_dataloader feature/compact_cnn feature/compare_with_original_count feature/dataloader_not_divide_8 feature/debug_viz feature/documentation feature/improve_density_gen feature/improve_loss_fn feature/loader_full_and_augment feature/refactor-dataflow feature/refactor_ccnn_basecode feature/save_best feature/simple_cometml feature/train_context_aware_network_on_shtA feature/train_dev_test_split hotfix/fix_visualize_data_loader master meow_exp server-training with_apex
List of commits:
Subject Hash Author Date (UTC)
fix H3 71d41ac82f273857f7643d8e63e502c701888a5b Thai Thien 2020-06-14 10:10:39
typo bc78059e62b17a5a617e3e0294f5c72dd4bd347e Thai Thien 2020-06-14 10:06:35
H3_t1_sha H3_t2_sha H3_t2_shb_fixed ccnn_adam_t7_shb ccnn_adam_t7_sha ca7e1ccab41314f8a30e48609421db3a2c41bbe0 Thai Thien 2020-06-14 09:59:17
train script da9ad066d6d835f38eb9e9c2b771ff412124552a Thai Thien 2020-06-13 18:06:22
train script ccnnv9 8ab76b70dad11b1458f8c1bfc2f1765c6ece984d Thai Thien 2020-06-13 17:57:02
train script 7ab6cf827c811af9a0c9168de2fde4dbd0fb3e61 Thai Thien 2020-06-13 11:54:21
fix typo also 3d32c83c822a66ac24ebb6d8cfe4d023d167d441 Thai Thien 2020-06-13 04:45:27
typo in training script 07c6055e3bdacaca34c0aaacd49d5c87a07f4320 Thai Thien 2020-06-13 04:44:20
ccnnv9 leaky relu 5fd462122ef62498a51dd83db2c89507254d7a96 Thai Thien 2020-06-13 04:40:41
CompactCNNv9 leaky relu 03e5f342cc6eb3ba4fd0b98061398acedde6ab54 Thai Thien 2020-06-13 04:36:43
train script ad55dbff34ffab8cffd068536c4d2f2b57a487ee Thai Thien 2020-06-13 04:17:21
add L1Mean, add experiment tag on cometml 125f03f6f136bde9fa11b00a749b8a0c3de51534 Thai Thien 2020-06-13 04:15:30
msenone f68f48cc1a2e28a65da368a9a66ebec9f8694467 Thai Thien 2020-06-13 03:54:44
train script 2b142c16cce5403d0d673077d2b1e442af072e42 Thai Thien 2020-06-12 16:42:25
train script 67923fc98cd4f82880e973f7dbf143c09ffcf8e8 Thai Thien 2020-06-12 16:01:59
ccnnv8 adam t1 sha, H3 0cab419a2c9747611347b6ddb75ca8a5cb20eb79 Thai Thien 2020-06-11 16:21:47
ccnv8 adam t1 shb edd704f19c3d58d959c13b96100498c8809b309c Thai Thien 2020-06-11 15:51:21
ccnnv8 4e8e6e864c3f2fea80a3b61addbc26eb8f3ae059 Thai Thien 2020-06-11 15:47:04
bigtail7 cuda4 fdde3eb95706e95cdc0e8d81f93f2e08036d3192 Thai Thien 2020-06-11 15:45:38
train script, bigtail6, bigtail7 shb ea5758dcd7d8428e694cc84d50c81267eabcef23 Thai Thien 2020-06-11 15:36:54
Commit 71d41ac82f273857f7643d8e63e502c701888a5b - fix H3
Author: Thai Thien
Author date (UTC): 2020-06-14 10:10
Committer name: Thai Thien
Committer date (UTC): 2020-06-14 10:10
Parent(s): bc78059e62b17a5a617e3e0294f5c72dd4bd347e
Signing key:
Tree: e3be705c00b16410557eeb2b8860fa43e841af76
File Lines added Lines deleted
models/meow_experiment/ccnn_head.py 3 1
File models/meow_experiment/ccnn_head.py changed (mode: 100644) (index 845d193..55e43d3)
... ... class H2(nn.Module):
141 141 x = self.output(x) x = self.output(x)
142 142 return x return x
143 143
144
144 145 class H3(nn.Module): class H3(nn.Module):
145 146 """ """
146 147 A REAL-TIME DEEP NETWORK FOR CROWD COUNTING A REAL-TIME DEEP NETWORK FOR CROWD COUNTING
 
... ... class H3(nn.Module):
167 168 x_red = F.relu(self.red_cnn(x), inplace=True) x_red = F.relu(self.red_cnn(x), inplace=True)
168 169 x_green = F.relu(self.green_cnn(x), inplace=True) x_green = F.relu(self.green_cnn(x), inplace=True)
169 170 x_blue = F.relu(self.blue_cnn(x), inplace=True) x_blue = F.relu(self.blue_cnn(x), inplace=True)
171 x_black = F.relu(self.black_cnn(x), inplace=True)
170 172
171 x = torch.cat((x_red, x_green, x_blue), 1)
173 x = torch.cat((x_red, x_green, x_blue, x_black), 1)
172 174
173 175 x = self.max_pooling(x) x = self.max_pooling(x)
174 176 x = F.relu(self.c0(x), inplace=True) x = F.relu(self.c0(x), inplace=True)
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