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 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
meow 3b9576511e597b4894c7c95ca06dc5219ef9c524 tthien 2020-02-27 15:44:39
fix wrong py name in script, dataset use only 1 worker 3bd765c9aa79e47049a94547e57deb68c947001c Thai Thien 2020-02-27 15:41:44
minor fix 5505b9a8b28df105e11a99d3462323ae9d507102 Thai Thien 2020-02-27 15:28:37
get ready for short training run with 30 epochs 66dda0858561897cd5f81e10077459adb39d86dd Thai Thien 2020-02-27 15:22:01
implement attn_can_adcrowdnet ffd38664a43d861c20cdc225746b9ce2a00260c7 Thai Thien 2020-02-27 15:10:27
WIP: add can-adcrowdnet 5620b83449b31d00a367c8de77e431e19a5ccfb3 Thai Thien 2020-02-25 11:31:38
add readable timestamp viz ae1fdb49ddb9ea77659529dceb7fb87c2790c8dc Thai Thien 2020-02-24 03:49:57
change save name prefix c53a86f30fb8fd4e8f3a409eb67827d56a43ae5c Thai Thien 2020-02-02 10:48:15
training flow that work fb242273e8f696916f9d1ff4bb76b4e5869799ef Thai Thien 2020-02-02 10:42:01
fix the dataloader for shanghaitech 5f2aee9f316e6555e6a70c6ad037a4e6b491867b Thai Thien 2020-02-02 09:19:50
context aware visualize seem ok 1bdb6ffe77ca4e40ef8f299b2506df2266243db4 Thai Thien 2020-02-02 05:07:10
visualize eval context aware network seem ok f3fe45c23dfeab3730624737efabb0b14d23c25b Thai Thien 2020-02-02 04:50:34
Commit 86a8f467d47a67da0accc963e8baacbaea07ab14 - fix error when save
Author: Thai Thien
Author date (UTC): 2020-02-27 17:55
Committer name: Thai Thien
Committer date (UTC): 2020-02-27 17:55
Parent(s): 91ff78e4a1aef3677b15447b631c2927c9e62a31
Signing key:
Tree: 74317df8c71c719471fb89503ebd864b4738fd77
File Lines added Lines deleted
train_attn_can_adcrowdnet.py 2 10
File train_attn_can_adcrowdnet.py changed (mode: 100644) (index db87802..2706723)
... ... if __name__ == "__main__":
77 77 print(timestamp + " Validation set Results - Epoch: {} Avg mae: {:.2f} Avg mse: {:.2f} Avg loss: {:.2f}" print(timestamp + " Validation set Results - Epoch: {} Avg mae: {:.2f} Avg mse: {:.2f} Avg loss: {:.2f}"
78 78 .format(trainer.state.epoch, metrics['mae'], metrics['mse'], metrics['nll'])) .format(trainer.state.epoch, metrics['mae'], metrics['mse'], metrics['nll']))
79 79
80 def score_function(engine):
81 """
82 saver score function
83 :param engine:
84 :return:
85 """
86 engine.state.metrics['mae']
80
87 81
88 82 # docs on save and load # docs on save and load
89 83 to_save = {'trainer': trainer, 'model': model, 'optimizer': optimizer} to_save = {'trainer': trainer, 'model': model, 'optimizer': optimizer}
90 84 save_handler = Checkpoint(to_save, DiskSaver('saved_model/' + args.task_id, create_dir=True, atomic=True), save_handler = Checkpoint(to_save, DiskSaver('saved_model/' + args.task_id, create_dir=True, atomic=True),
91 85 filename_prefix=args.task_id, filename_prefix=args.task_id,
92 n_saved=5,
93 score_function=score_function,
94 score_name="mae")
86 n_saved=5)
95 87
96 88 trainer.add_event_handler(Events.EPOCH_COMPLETED(every=3), save_handler) trainer.add_event_handler(Events.EPOCH_COMPLETED(every=3), save_handler)
97 89
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