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)
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
WIP 3d7e1f10700c05bf7672cbf46ae6cafae8f2330f Thai Thien 2020-06-11 13:07:18
return x c750d65fe266979e9cdebf9a53b2af343462fbda Thai Thien 2020-06-11 12:39:13
bigtail5 b750f0037993fdfdda6433b1982f5612d13aa1a6 Thai Thien 2020-06-11 12:32:28
adam t3 t4 933528ca8870affc741e989520172819382db0c0 Thai Thien 2020-06-10 07:59:26
adam t1 and adam t2 4202f1b609dc90197990e014addce68a04d0b8a8 Thai Thien 2020-06-09 15:23:49
t8 2dda6cd71a7aa50e760dfdcdfbdcdedfce36b836 Thai Thien 2020-06-09 15:12:20
t7 2ff8d0931ae51a93915721202aaa17c38c2918cc Thai Thien 2020-06-09 15:08:32
t5 t6 7eeeb38e47fc4b59750438d66c911a7a93573b91 Thai Thien 2020-06-09 14:53:05
t4 e58849acc2d608f95130b58cafbe642f5f67a269 Thai Thien 2020-06-08 15:54:08
sgd t3 d6a8816d042d837578e095e748167abdb97acdd2 Thai Thien 2020-06-08 15:48:55
meow 776073961973fb7c5fa04a86b3c642627fa8b1ee Thai Thien 2020-06-08 15:18:04
t14 double lr 55942fb00b6f13302d91904baa5783738b1d530f Thai Thien 2020-06-07 04:30:42
Commit f68f48cc1a2e28a65da368a9a66ebec9f8694467 - msenone
Author: Thai Thien
Author date (UTC): 2020-06-13 03:54
Committer name: Thai Thien
Committer date (UTC): 2020-06-13 03:54
Parent(s): 2b142c16cce5403d0d673077d2b1e442af072e42
Signer:
Signing key:
Signing status: N
Tree: e51f2b949862756e4819c5d9ed446e1b9e981837
File Lines added Lines deleted
experiment_main.py 3 0
train_script/adam_stuff/ccnn_adam_none_t1_shb.sh 4 4
File experiment_main.py changed (mode: 100644) (index 0403623..abdc5db)
... ... if __name__ == "__main__":
124 124 elif args.loss_fn == "MSEMean": elif args.loss_fn == "MSEMean":
125 125 loss_fn = nn.MSELoss(reduction='mean').to(device) loss_fn = nn.MSELoss(reduction='mean').to(device)
126 126 print("use MSEMean") print("use MSEMean")
127 elif args.loss_fn == "MSENone":
128 loss_fn = nn.MSELoss(reduction='none').to(device)
129 print("use MSE without any reduction")
127 130
128 131 if args.optim == "adam": if args.optim == "adam":
129 132 optimizer = torch.optim.Adam(model.parameters(), args.lr, optimizer = torch.optim.Adam(model.parameters(), args.lr,
File train_script/adam_stuff/ccnn_adam_none_t1_shb.sh copied from file train_script/adam_stuff/ccnn_adam_t1_shb.sh (similarity 79%) (mode: 100644) (index f54cd83..9142cee)
1 task="ccnn_adam_t1_shb"
1 task="ccnn_adam_none_t1_shb.sh"
2 2
3 3 CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 --note "adam lr and decay, 8" \
5 --note "try reduction none" \
6 6 --model "CompactCNNV7" \ --model "CompactCNNV7" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_B \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_B \
8 8 --lr 1e-5 \ --lr 1e-5 \
9 9 --decay 1e-5 \ --decay 1e-5 \
10 --loss_fn "MSEMean" \
10 --loss_fn "MSENone" \
11 11 --skip_train_eval \ --skip_train_eval \
12 12 --batch_size 8 \ --batch_size 8 \
13 13 --optim "adam" \ --optim "adam" \
14 14 --datasetname shanghaitech_more_random \ --datasetname shanghaitech_more_random \
15 --epochs 600 > logs/$task.log &
15 --epochs 1001 > logs/$task.log &
16 16
17 17 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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