hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)
backupfrom https://github.com/ttpro1995/crowd_counting_framework
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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 dimension of ccnn f4439d9a78273ab3ba450f31a528509816b4352f Thai Thien 2020-03-04 17:32:48
ready to train dbe0d6c3271dbb22490f0877fa31ba9cd7852b99 Thai Thien 2020-03-04 15:55:05
done implement c-cnn 2deecef953baf1e07ce5cf5477d208bc7ffa34cf Thai Thien 2020-03-03 17:25:03
fix script 0e9d372b9ad60b32939f1e558b2a59fc7d518fa2 Thai Thien 2020-03-02 16:23:55
simple v3 to 91 epoch 539fdd03c3e3497fd22b7db2aaa14f067cbf6f8d Thai Thien 2020-03-02 16:09:43
we train on all training data and validate on test data 9407ef8d5b7c47c53d6f98dcb3c20208aad1d7a9 Thai Thien 2020-03-01 15:36:46
load and continue train v3 12421fb7330e5c9d2eed4f6e574dfe69bdfddefc Thai Thien 2020-03-01 14:50:01
add env file b1ed02088b01af42efc8d6963b3699e0a5c31c01 Thai Thien 2020-03-01 11:10:56
sanity check dataloader 034daa8bef69daff92891cc42b988a6c77b010f9 Thai Thien 2020-03-01 10:24:38
print train loader len eef3995f63a631e0ec5d92e31f5d7db27fd04401 Thai Thien 2020-03-01 05:17:55
simple v3 t1 9ee69fce793709c3dcc692de73ddb9d01c54670e Thai Thien 2020-03-01 05:08:40
try fix load model not training a9d6dc79a460f15bd34bc7c6a4e1359209f59f27 Thai Thien 2020-03-01 05:04:48
continue training for attn can adcrowdnet simple 437fe77a4f50b6c6098a5251dbb42be74d8cdfc4 Thai Thien 2020-03-01 04:40:18
can use GPU 1 084554baa67d3eaa517cdad7be3ac3d1e8ba3e2c Thai Thien 2020-03-01 03:41:48
well, fix can train script actually 1ff1cae8b9fc75fddc4778db804d1469713e55b2 Thai Thien 2020-03-01 03:25:29
can fix a32e4697517e555cccaf3322250d8c298284b5aa Thai Thien 2020-03-01 03:24:19
train script 0b9279193b68083ccb8d5072dcee333c3e0712e8 Thai Thien 2020-03-01 02:24:04
ready train can e774b212367c0bf6b8aaa133afc3845a427a9359 Thai Thien 2020-03-01 02:20:35
simple v3 245472ed0682c617b1975f82c7a0c15ee3494818 Thai Thien 2020-02-29 17:43:39
simplev2 bab195873f45b19020f6d3c5f717742c5e2becbd Thai Thien 2020-02-29 17:17:02
Commit f4439d9a78273ab3ba450f31a528509816b4352f - fix dimension of ccnn
Author: Thai Thien
Author date (UTC): 2020-03-04 17:32
Committer name: Thai Thien
Committer date (UTC): 2020-03-04 17:32
Parent(s): 2997fde0044031ba6d496f67899c7458cec17a18
Signer:
Signing key:
Signing status: N
Tree: 730dcd506206c85e58a997adf8a156116069d3f9
File Lines added Lines deleted
models/compact_cnn.py 2 2
File models/compact_cnn.py changed (mode: 100644) (index 957fd16..2266cd8)
... ... class CompactCNN(nn.Module):
12 12 """ """
13 13 def __init__(self, load_weights=False): def __init__(self, load_weights=False):
14 14 super(CompactCNN, self).__init__() super(CompactCNN, self).__init__()
15 self.red_cnn = nn.Conv2d(3, 10, 9, padding=2)
15 self.red_cnn = nn.Conv2d(3, 10, 9, padding=4)
16 16 self.green_cnn = nn.Conv2d(3, 14, 7, padding=3) self.green_cnn = nn.Conv2d(3, 14, 7, padding=3)
17 self.blue_cnn = nn.Conv2d(3, 16, 5, padding=4)
17 self.blue_cnn = nn.Conv2d(3, 16, 5, padding=2)
18 18 self.max_pooling = nn.MaxPool2d(2, stride=2) self.max_pooling = nn.MaxPool2d(2, stride=2)
19 19
20 20 self.c1 = nn.Conv2d(40, 60, 3, padding=1) self.c1 = nn.Conv2d(40, 60, 3, padding=1)
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