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 args dataset name 55aa10b342aa2921639ddb214c91a1ece401d400 Thai Thien 2020-02-29 02:04:00
fix deprecate d16b3ed34285df19d950d4f0472867020922cb91 Thai Thien 2020-02-29 01:56:38
fix dataset_name 16a6b9ccc89d647c239778662d1371f4e43c864a Thai Thien 2020-02-29 01:40:50
fix my_args_parse c0f526e0affc64cc00134a84c8c7275e91297b70 Thai Thien 2020-02-29 01:36:50
minor fix 8f3909b1a4c62e67bc2a8c2f218fc0697ff7cef3 Thai Thien 2020-02-29 01:35:32
train script 96afb84e92320e5389a302964b6a5d68186f6435 Thai Thien 2020-02-29 01:32:14
done 12f18f211de9ae25ee3ed25812cef1c7a361b31d Thai Thien 2020-02-29 01:30:11
fix error: argument --decay: invalid float value: '5*1e-4' a144c83e69e4363311fa74f1c091d1a3f834ad8a Thai Thien 2020-02-28 17:16:41
change optim to Adam, lr and decay same with content aware network 0b0879b22e9d202015e67a0cc8c87ddcafb3c2d2 Thai Thien 2020-02-28 17:15:05
train with higher learning rate 3fa7e328dc4b7b4570fd32908b3df5fab8283919 Thai Thien 2020-02-28 16:57:16
train 25 epoch only 1cfb58b5eae299f49e3b64289c3a12a8f35cee45 Thai Thien 2020-02-27 18:35:58
we freeze vgg pretrain layer 459cefbfbf53949cb9636ca002cd4f78e964bb83 Thai Thien 2020-02-27 18:24:17
fix error when save 86a8f467d47a67da0accc963e8baacbaea07ab14 Thai Thien 2020-02-27 17:55:46
we discard deform 7 and keep deform 5 instead 91ff78e4a1aef3677b15447b631c2927c9e62a31 Thai Thien 2020-02-27 16:22:47
reduce image by crop 530516ff40b744cac79756c97faaed50c8b65cfb Thai Thien 2020-02-27 16:19:11
try to solve x8/8 dimension mismatch 6b0616197995b3c95041cde43030245f96f1f81e Thai Thien 2020-02-27 16:17:12
reduce model size, discard middle deform (kernal size 5) 00fb477cf699a8f2eed8e861f241c077b2046000 Thai Thien 2020-02-27 16:11:51
shanghaitech same size density map 25fc2e9395dd67bb6cc273c7fe6cd64c3b154120 Thai Thien 2020-02-27 16:03:05
fix target1.unsqueeze(0) bb5c46f121207fd9838ee085314df40513e2ed32 Thai Thien 2020-02-27 15:56:07
because GPU too small, we crop shanghaitech A 0f97517dd8de5d3d75cf49af9aa9d20e4595ea3e Thai Thien 2020-02-27 15:52:21
Commit 55aa10b342aa2921639ddb214c91a1ece401d400 - fix args dataset name
Author: Thai Thien
Author date (UTC): 2020-02-29 02:04
Committer name: Thai Thien
Committer date (UTC): 2020-02-29 02:04
Parent(s): d16b3ed34285df19d950d4f0472867020922cb91
Signer:
Signing key:
Signing status: N
Tree: f44af9573091fdc277689eec565a3b0c2bb0fdea
File Lines added Lines deleted
train_attn_can_adcrowdnet_simple.py 5 2
File train_attn_can_adcrowdnet_simple.py changed (mode: 100644) (index 04edd18..2c852b2)
... ... if __name__ == "__main__":
21 21 DATA_PATH = args.input DATA_PATH = args.input
22 22 TRAIN_PATH = os.path.join(DATA_PATH, "train_data") TRAIN_PATH = os.path.join(DATA_PATH, "train_data")
23 23 TEST_PATH = os.path.join(DATA_PATH, "test_data") TEST_PATH = os.path.join(DATA_PATH, "test_data")
24
24 dataset_name = args.datasetname
25 if (dataset_name=="shanghaitech"):
26 print("so true")
25 27
26 28 # create list # create list
27 29 train_list, val_list = get_train_val_list(TRAIN_PATH) train_list, val_list = get_train_val_list(TRAIN_PATH)
28 30 test_list = None test_list = None
29 31
30 32 # create data loader # create data loader
31 train_loader, val_loader, test_loader = get_dataloader(train_list, val_list, test_list, dataset_name="shanghaitech")
33
34 train_loader, val_loader, test_loader = get_dataloader(train_list, val_list, test_list, dataset_name=dataset_name)
32 35
33 36
34 37 # model # model
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