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)
l2_adamw2_bigtail13i_t10_sha 4f6f2b8d3ac4654cc2ed94ca6900643f3ca07be9 Thai Thien 2020-09-22 19:27:24
l2_adamw2_bigtail13i_t9_sha 576b424688dff640a0a7d448cbd615cfb4f33d54 Thai Thien 2020-09-22 19:21:17
t8 9e00ee3a50c93bbd726ebd8554a68f535d836691 Thai Thien 2020-09-22 19:11:37
split a a7b2115bee8ab76497528b84aee09c79631575b1 Thai Thien 2020-09-22 17:48:37
load_data_shanghaitech_256_v2 and l2_adamw2_bigtail13i_t7_sha 07bca1a460c30ed7ec7269d72dad99eef6fc96b3 Thai Thien 2020-09-22 17:04:45
adamw1_ccnnv7_t7_jhu c5f106103aa3696827627f5e815105d9432e2acb Thai Thien 2020-09-16 18:21:22
adamw1_ccnnv7_t6_jhu.sh 5c8644da7445b3dd4f6d2611d564592e8e8ed45c Thai Thien 2020-09-16 18:19:07
adamw1_CompactCNNV7_t6_jhu 1fa1d544a254cd042bcdd36e8de2984fe3d5244f Thai Thien 2020-09-16 17:56:15
adamw1_CompactCNNV7_t5_jhu 40720162c9e9b731fb852ed7e3e191228e421ced Thai Thien 2020-09-16 17:46:20
test_data cache 73633cbd6d70448268a3e1534440601ddcf75276 Thai Thien 2020-09-16 17:12:57
fix test data not exist 474f506204251e26825801499f6bc503f44f8410 Thai Thien 2020-09-16 16:41:00
fix test data not exist 6377e18d87e0fabbf9b4ed143e26ae5912c0b872 Thai Thien 2020-09-16 16:40:06
jhucrowd_downsample_512 30b8b9a63e93a5631f003858ef2ab63dc62c6563 Thai Thien 2020-09-16 16:17:02
fix 77d74f09874a7be0d8fcec141597be4ce331bf0c Thai Thien 2020-09-16 16:08:39
fix 897856c014a517da679a8a1c46c6d0b90c965876 Thai Thien 2020-09-16 16:05:29
jhucrowd_downsample_256 b992d3acc7f1e1aa0ed6265c48e9f065fa1d3085 Thai Thien 2020-09-16 16:02:19
adamw1_bigtail13i_t7_jhu 81e1a8ff445b76f0a9c9c9882a11da65b8b13088 Thai Thien 2020-09-10 18:19:34
adamw1_CompactCNNV7_t1_jhu ed5c3696081241e7ebd7370863ea08ec83467a0b Thai Thien 2020-09-10 18:12:05
no force cache 33946d1f09a1e77c7758acbcd61e385a1800e854 Thai Thien 2020-09-10 17:47:06
skip train eval 186cb449855cb567fc61801bd3a1a4c0767a7d35 Thai Thien 2020-09-10 17:17:10
Commit 4f6f2b8d3ac4654cc2ed94ca6900643f3ca07be9 - l2_adamw2_bigtail13i_t10_sha
Author: Thai Thien
Author date (UTC): 2020-09-22 19:27
Committer name: Thai Thien
Committer date (UTC): 2020-09-22 19:27
Parent(s): 576b424688dff640a0a7d448cbd615cfb4f33d54
Signing key:
Tree: 6bdc4a1653c7d86b328eaabd1d29a9cd8ff92f78
File Lines added Lines deleted
train_script/learnstuff/l2/l2_adamw2_bigtail13i_t10_sha.sh 4 4
File train_script/learnstuff/l2/l2_adamw2_bigtail13i_t10_sha.sh copied from file train_script/learnstuff/l2/l2_adamw2_bigtail13i_t9_sha.sh (similarity 71%) (mode: 100644) (index 913fe1a..7b8b374)
1 task="l2_adamw2_bigtail13i_t9_sha"
1 task="l2_adamw2_bigtail13i_t10_sha"
2 2
3 CUDA_VISIBLE_DEVICES=5 OMP_NUM_THREADS=4 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=4 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 "256, high decay, lr -3 and decay -1" \
5 --note "256, high decay, lr -5 and decay -1" \
6 6 --model "BigTail13i" \ --model "BigTail13i" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
8 --lr 1e-3 \
8 --lr 1e-5 \
9 9 --decay 1e-1 \ --decay 1e-1 \
10 10 --loss_fn "MSEL1Mean" \ --loss_fn "MSEL1Mean" \
11 11 --datasetname shanghaitech_256_v2 \ --datasetname shanghaitech_256_v2 \
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