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)
add d (output density map) to loss function) a0c71bf4bf2ab7393d60b06a84db8dfbbfb1a6c2 tthien 2019-09-30 16:32:39
fix the args, add save interval for model, so we don't save them all 9fdf9daa2ac4bd12b7b62521d81e520db0debd01 tthien 2019-09-30 16:30:00
meow 1ad19a22a310992e27a26471feeb37375124d075 tthien 2019-09-29 18:25:43
fix pacnn perspective map 453ece3ccb818889ba895bfc4285f7905d33cba5 Thai Thien 2019-09-25 17:20:33
apex not work so well da8c0dd57297f972201f31d57e66897177922f48 Thai Thien 2019-09-24 17:25:59
fix data loader pacnn so it will scale up with correct number of people 11d55b50d764511f2491291f0208fee0905dec49 Thai Thien 2019-09-24 15:40:56
add comet ml a9d4b89ce594f5e241168ccafdcdf0f150ea0ebb Thai Thien 2019-09-23 17:07:58
fix pacnn avg schema c2140a96886195782e5689c24aeeb4fe7a2db7ad Thai Thien 2019-09-22 17:35:01
debug number not divisible by 8 a568fd7f294a8bd31b3db78437b4b6b51b5b41b9 Thai Thien 2019-09-22 04:36:06
pacnn 967074890d14ab0eefc277801860270a468e8f9f Thai Thien 2019-09-22 03:54:48
wip: pacnn 2192d7c7b449fecf3868877d9cfbc09bb6f7ae98 Thai Thien 2019-09-22 03:44:56
wip: pacnn 37620e5a9bc0f9516ea964ec58d9bdaa1c40ff36 Thai Thien 2019-09-22 03:14:42
fix training flow 2b87b1b26c7296b64493fdc49fedb421b249dfa3 Thai Thien 2019-09-17 18:00:35
dataset script bc5c052f5f956510ab95ef9a45434fd486c57fae Thai Thien 2019-09-16 17:21:13
evaluator ffc5bf8290ae0c469a9a18a2d061cfd1bfeee822 Thai Thien 2019-09-14 04:56:35
some more test for data loader 25173578cde7d4e9fe6c6140d1ee01caa4fcfc32 Thai Thien 2019-09-14 02:51:58
some visualize to debug data loader e4f52007616acf307bddbde79c0fb4f8c649c785 Thai Thien 2019-09-13 17:35:45
wip d7d44cad6774355bdfa45414258763f6c6a0c299 Thai Thien 2019-08-31 16:58:16
commit all 6dad7a58f7dbf9fc288ce9dd3e92be538851c2a7 Thai Thien 2019-08-29 19:10:44
input d1,d2,d3 match fc2a809241f8b6356d964c63d40cbebd55ca5f6c Thai Thien 2019-08-28 17:57:05
Commit a0c71bf4bf2ab7393d60b06a84db8dfbbfb1a6c2 - add d (output density map) to loss function)
Author: tthien
Author date (UTC): 2019-09-30 16:32
Committer name: tthien
Committer date (UTC): 2019-09-30 16:32
Parent(s): 9fdf9daa2ac4bd12b7b62521d81e520db0debd01
Signing key:
Tree: 3b90ed7a4d09fa4969e528ddd6556192b69602da
File Lines added Lines deleted
main_pacnn.py 3 1
File main_pacnn.py changed (mode: 100644) (index c8ba8e9..9cfb5cc)
... ... if __name__ == "__main__":
117 117 loss_1 = criterion_mse(d1, d1_label) + criterion_ssim(d1, d1_label) loss_1 = criterion_mse(d1, d1_label) + criterion_ssim(d1, d1_label)
118 118 loss_2 = criterion_mse(d2, d2_label) + criterion_ssim(d2, d2_label) loss_2 = criterion_mse(d2, d2_label) + criterion_ssim(d2, d2_label)
119 119 loss_3 = criterion_mse(d3, d3_label) + criterion_ssim(d3, d3_label) loss_3 = criterion_mse(d3, d3_label) + criterion_ssim(d3, d3_label)
120 loss = loss_1 + loss_2 + loss_3
120 loss_d = criterion_mse(d, d1_label) + criterion_ssim(d, d1_label)
121 loss = loss_d + loss_1 + loss_2 + loss_3
122
121 123 if PACNN_PERSPECTIVE_AWARE_MODEL: if PACNN_PERSPECTIVE_AWARE_MODEL:
122 124 # TODO: loss for perspective map here # TODO: loss for perspective map here
123 125 pass pass
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