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)
increase epoch 03be68a9e02df1ffa245394ea3096990e8f9d44b Thai Thien 2020-04-16 14:30:15
add load model 044a398d62add2e854b79b0b3c48c961a4a20bb0 Thai Thien 2020-04-16 14:27:43
M4 c960a8e3ddbfb7fc57f3f843fa4184c063cf8cdb Thai Thien 2020-04-16 14:22:37
typo again 3dbe3ce4634b8d4ca30b012851c5b9690b1d88d7 Thai Thien 2020-04-13 15:49:23
typo 9b9a84ed5bfffc6e8979fe8b9aa2d6411bfd70c2 Thai Thien 2020-04-13 15:47:51
typo 69cdd6f3037ef0357783ad4c3f8cdf8de2258c3b Thai Thien 2020-04-13 15:38:14
small tall on split branch 36c80eee740df7449c112f4dd4925e0ffbc7ac5a Thai Thien 2020-04-13 15:23:33
fix load model 68c03563a5aa3acda165eae104ff4d2df83201b2 Thai Thien 2020-04-09 17:30:14
get lr and weight_decay b43666da2cb8bb5710f30d0f3bfd2c3b1e7b6473 Thai Thien 2020-04-09 17:26:13
1201 epoch (because cur epoch continue when load) ee303fe3945fcc6cc3c26601039de77a58fa3d60 Thai Thien 2020-04-09 17:23:18
shb load model 062126f959c021577dbf08224aeb442ca308587c Thai Thien 2020-04-09 17:20:27
4 2f49bfa380e997c177af1de34c8d6882ed7099e9 Thai Thien 2020-04-09 17:06:28
11 331644c623b1bf5a34c4db432e1526f6bc34a398 Thai Thien 2020-04-09 17:04:49
batchsize 24 f6aeba845ee1915cb0aeb8fce298e56a6ba40b3a Thai Thien 2020-04-09 16:46:25
t10 91d9e83c80a6a533535fd91278b9175c839c9715 Thai Thien 2020-04-09 16:43:38
t9 927b97f2f285000ce7b407496c52da2c61539cb8 Thai Thien 2020-04-09 16:37:39
minor bugfix cbab75b39a2d3495c1d07a6f5c127ccc6e7cfbf5 Thai Thien 2020-04-09 16:15:24
ccnn v2 t89 shb 15fca0fdfa56fb6abe4928642fbaf8b444fa5fbb Thai Thien 2020-04-09 15:46:00
fixed: not discard under-size in 256 8a0ef0a9bfb0801933dd4403685fe65ebb5dac6a Thai Thien 2020-04-08 16:10:46
data_flow fixed 256, we ignore too small image in Batch for now 34a56f59674dee5267dba356b3ebe469baa91baf Thai Thien 2020-04-08 15:46:34
Commit 03be68a9e02df1ffa245394ea3096990e8f9d44b - increase epoch
Author: Thai Thien
Author date (UTC): 2020-04-16 14:30
Committer name: Thai Thien
Committer date (UTC): 2020-04-16 14:30
Parent(s): 044a398d62add2e854b79b0b3c48c961a4a20bb0
Signing key:
Tree: 0d7ad09e49e4fef104a6de9f63fe59828fe3d893
File Lines added Lines deleted
train_script/meow_one/big_tail/bigtail3_t1_sha_shb.sh 1 1
train_script/meow_one/big_tail/bigtail3_t1_shb_sha.sh 1 1
File train_script/meow_one/big_tail/bigtail3_t1_sha_shb.sh changed (mode: 100644) (index 03a4de7..7ff04ed)
... ... CUDA_VISIBLE_DEVICES=2 HTTPS_PROXY="http://10.60.28.99:86" nohup python experime
10 10 --batch_size 8 \ --batch_size 8 \
11 11 --load_model saved_model/bigtail3_t1_sha/bigtail3_t1_sha_checkpoint_720000.pth \ --load_model saved_model/bigtail3_t1_sha/bigtail3_t1_sha_checkpoint_720000.pth \
12 12 --datasetname shanghaitech_rnd \ --datasetname shanghaitech_rnd \
13 --epochs 302 > logs/$task.log &
13 --epochs 1002 > logs/$task.log &
14 14
15 15 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
File train_script/meow_one/big_tail/bigtail3_t1_shb_sha.sh changed (mode: 100644) (index 735dfb1..1a78c24)
... ... CUDA_VISIBLE_DEVICES=1 HTTPS_PROXY="http://10.60.28.99:86" nohup python experime
9 9 --decay 1e-4 \ --decay 1e-4 \
10 10 --load_model saved_model/bigtail3_t1_sha/bigtail3_t1_shb_checkpoint_60000.pth \ --load_model saved_model/bigtail3_t1_sha/bigtail3_t1_shb_checkpoint_60000.pth \
11 11 --datasetname shanghaitech_20p \ --datasetname shanghaitech_20p \
12 --epochs 601 > logs/$task.log &
12 --epochs 1002 > logs/$task.log &
13 13
14 14 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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