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)
adamw 57f61e52a024e91f57347c85a8c14813df16d15d Thai Thien 2020-08-01 12:05:36
adam1_bigtail13i_t1_shb 713dd1d5a0f13a2c881b00687fabb1174383da5b Thai Thien 2020-08-01 10:22:17
g1_BigTail14i_t8_sha eb361a5e64d38062fa6e5aa61ae21adc5a536aef Thai Thien 2020-07-31 15:45:50
g1_BigTail14i_t7_sha 32ff746fa0c272af36eadcd713cda94ef8f1b8e2 Thai Thien 2020-07-31 14:57:15
g1_BigTail14i_t6_sha 0656f2ac088bd2790b560931839bfa1d4bed98c4 Thai Thien 2020-07-30 19:32:13
sgd -6 g1_BigTail14i_t6_sha.sh 4c2877d478c40382109800e5a4b873d7a11b345c Thai Thien 2020-07-30 19:29:58
t5 070bf50a1a9bba8b8406c5c58b5806e39e99b56e Thai Thien 2020-07-30 19:26:48
g1_BigTail14i_t4_sha 71b259dab3cec69c9b40944cfe9e83ee723c8675 Thai Thien 2020-07-30 19:21:34
g1_BigTail14i_t3_sha 2a3ab6ec6283df6dfff8d05206403debca6f5259 Thai Thien 2020-07-30 19:11:39
g1_BigTail14i_t2_sha 3cff89d608a204683dfa48456f639520fce19c5b Thai Thien 2020-07-30 17:48:16
t3 8787c9eaceaec5f1199ec8092fd5682843697b5d Thai Thien 2020-07-30 17:42:31
t2 sha 0576d7c6d6bfceac2a2073b89601a5596090af36 Thai Thien 2020-07-30 17:37:48
t4 1fabee6ccef45df6d150767a5c3aacc7f38fc7ff Thai Thien 2020-07-30 17:32:01
g1_BigTail15i_t3_shb 8bbe65286b249a1ae884d35a50cd755bdf94b6aa Thai Thien 2020-07-30 17:26:56
t2 3713a26286a2bab02a89d4d0c1092a7def3d5321 Thai Thien 2020-07-30 17:24:44
fix 15 for 40 residual dbe7261da46740928936a527f9b954be04f68c76 Thai Thien 2020-07-30 17:08:31
BigTail15i a b 84e0a51bcce38e56571ba81f5a3b1eee451bfb6a Thai Thien 2020-07-30 16:46:53
sha experiment d3981fdc091b7654fd073f95dffb6d27542aeb68 Thai Thien 2020-07-29 16:13:01
a 6f47f27384806e573704585a0a84ee1d23694dca Thai Thien 2020-07-28 15:17:08
a 7ab0458a2d0e610a641d6c2457939753b13eadff Thai Thien 2020-07-25 15:37:26
Commit 57f61e52a024e91f57347c85a8c14813df16d15d - adamw
Author: Thai Thien
Author date (UTC): 2020-08-01 12:05
Committer name: Thai Thien
Committer date (UTC): 2020-08-01 12:05
Parent(s): 713dd1d5a0f13a2c881b00687fabb1174383da5b
Signing key:
Tree: 6a656a7d9a213bce30b5ea25d2fb8b7711c514cd
File Lines added Lines deleted
experiment_main.py 4 0
train_script/learnstuff/l1/adam1_bigtail13i_t2_shb.sh 2 2
train_script/learnstuff/l1/adamw1_bigtail13i_t1_shb.sh 6 7
File experiment_main.py changed (mode: 100644) (index 1f206ea..34c6625)
... ... if __name__ == "__main__":
188 188 weight_decay=args.decay, weight_decay=args.decay,
189 189 momentum=args.momentum) momentum=args.momentum)
190 190 print("use sgd") print("use sgd")
191 elif args.optim == "adamw":
192 optimizer = torch.optim.AdamW(model.parameters(), args.lr,
193 weight_decay=args.decay)
194 print("use adamW")
191 195 experiment.add_tag(args.optim) experiment.add_tag(args.optim)
192 196
193 197 trainer = create_supervised_trainer(model, optimizer, loss_fn, device=device) trainer = create_supervised_trainer(model, optimizer, loss_fn, device=device)
File train_script/learnstuff/l1/adam1_bigtail13i_t2_shb.sh copied from file train_script/learnstuff/l1/adam1_bigtail13i_t1_shb.sh (similarity 86%) (mode: 100644) (index a741a77..451342f)
1 1 task="adam1_bigtail13i_t1_shb" task="adam1_bigtail13i_t1_shb"
2 2
3 CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
3 CUDA_VISIBLE_DEVICES=2 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 5 --note "adam with extrem high lr and decay, msel1mean" \ --note "adam with extrem high lr and decay, msel1mean" \
6 6 --model "BigTail13i" \ --model "BigTail13i" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \
8 --lr 0.1 \
8 --lr 1e-3 \
9 9 --decay 0.1 \ --decay 0.1 \
10 10 --loss_fn "MSEL1Mean" \ --loss_fn "MSEL1Mean" \
11 11 --batch_size 5 \ --batch_size 5 \
File train_script/learnstuff/l1/adamw1_bigtail13i_t1_shb.sh copied from file train_script/meow_one/group1/g1_BigTail12i_t9_shb.sh (similarity 69%) (mode: 100644) (index 414d932..cd3f8e4)
1 task="g1_BigTail12i_t9_shb"
1 task="adamw1_bigtail13i_t1_shb"
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 $task \
5 --note "mse l1 sum, sgd, use batchnorm (default setting) sgd mean loss" \
6 --model "BigTail12i" \
5 --note "adamW with extrem high lr and decay, msel1mean" \
6 --model "BigTail13i" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \
8 --lr 1e-5 \
9 --decay 1e-5 \
8 --lr 1e-3 \
9 --decay 0.1 \
10 10 --loss_fn "MSEL1Mean" \ --loss_fn "MSEL1Mean" \
11 11 --batch_size 5 \ --batch_size 5 \
12 12 --datasetname shanghaitech_non_overlap \ --datasetname shanghaitech_non_overlap \
13 --skip_train_eval \
14 --optim sgd \
13 --optim adamw \
15 14 --cache \ --cache \
16 15 --epochs 1201 > logs/$task.log & --epochs 1201 > logs/$task.log &
17 16
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