hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)
backupfrom https://github.com/ttpro1995/crowd_counting_framework
Clone URLs: https://rocketgit.com/user/hahattpro/crowd_counting_framework ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework git://git.rocketgit.com/user/hahattpro/crowd_counting_framework
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)
h1 t3 h1 t4 fbcd13dd240e06a982a1ce48f27cd1d542a26b63 Thai Thien 2020-04-28 17:53:06
h1 96204cb5262500020371637741131d24e3fa91d0 Thai Thien 2020-04-27 17:35:51
typo adfb213c2564bc90b8b69811469534b004808644 Thai Thien 2020-04-27 17:17:58
batch size 8 for shb c90fa9a5d725a1ef0d29ed23f947ee05b9aa7894 Thai Thien 2020-04-27 17:10:34
change proxy 30cd53782eb17b416c471502f1e6c6e9975a644b Thai Thien 2020-04-27 17:06:28
experiment with CCNN when we max pooling after merge c8e8daec89ee71c2f30e30cf3030298ee7073e56 Thai Thien 2020-04-27 16:52:50
refactor train_compact_cnn 9d1ecece2382b79a98e6cf2d4579ae68172dbb6a Thai Thien 2020-04-27 16:35:47
we add head experiment 82a25e6b89945609486cbafc433eaea20dcdee39 Thai Thien 2020-04-27 16:23:50
CompactCNNV3 7de3766d085ebdbdf82b024eb517568dd82d8d6d Thai Thien 2020-04-27 16:23:20
no_norm da3c84dca19b0d281082679d88af3b9d27165bfe Thai Thien 2020-04-25 17:32:45
M4_t3_sha_c_shb d0d61ff74ed23f595d05d6a813c0a93239f61438 Thai Thien 2020-04-25 17:17:56
training script 624ecec7b12641f734e12ee2ebb6158c7c89683a Thai Thien 2020-04-25 17:08:25
clean up trash 05fa10a45e7c4f9d0ba6b80e578a0f934a86121e Thai Thien 2020-04-25 17:08:04
increase epoch sha 96e0315a34286751258902b1e954ea5e43145ee1 Thai Thien 2020-04-23 17:24:53
turn off debug 36a2603484395ed130dd7dcb69c98c7057adf3ec Thai Thien 2020-04-23 17:21:51
chang proxy ce5434adf6002e3c1e14eee8fb50023ba9f1da39 Thai Thien 2020-04-23 17:19:00
fix typo 4f5c034e3fcbd9d3dd66333c7e81db79053c210b Thai Thien 2020-04-23 17:12:23
M4_t3 9ed8f35d94e43d0869d9ee07d98395ed4d4cd3fd Thai Thien 2020-04-23 16:18:49
fix b2235d1abdb20c3e1bfcc0d42870dad4b706babc Thai Thien 2020-04-23 16:13:17
debug 6cda7a90f14c5768be5bfbb9d87a985cae845f4c Thai Thien 2020-04-23 11:27:53
Commit fbcd13dd240e06a982a1ce48f27cd1d542a26b63 - h1 t3 h1 t4
Author: Thai Thien
Author date (UTC): 2020-04-28 17:53
Committer name: Thai Thien
Committer date (UTC): 2020-04-28 17:53
Parent(s): 96204cb5262500020371637741131d24e3fa91d0
Signer:
Signing key:
Signing status: N
Tree: 09de62afe1532c2f1e156b95e9c446e91009676a
File Lines added Lines deleted
train_script/CCNN/ccnn_v7_t3_shb.sh 5 5
train_script/meow_one/head/H1_t3_shb.sh 5 4
train_script/meow_one/head/H1_t4_shb.sh 8 8
File train_script/CCNN/ccnn_v7_t3_shb.sh copied from file train_script/CCNN/ccnn_v7_t2_shb.sh (similarity 72%) (mode: 100644) (index b4ff4e0..7e61461)
1 task="ccnn_v7_t2_shb"
1 task="ccnn_v7_t3_shb"
2 2
3 3 CUDA_VISIBLE_DEVICES=4 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \ CUDA_VISIBLE_DEVICES=4 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
4 4 --task_id $task \ --task_id $task \
5 5 --note "v3 that only max pooling after concat 3 branch, with norm" \ --note "v3 that only max pooling after concat 3 branch, with norm" \
6 6 --model "CompactCNNV7" \ --model "CompactCNNV7" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \
8 --lr 1e-4 \
8 --lr 2e-5 \
9 9 --decay 1e-4 \ --decay 1e-4 \
10 --batch_size 8 \
11 --datasetname shanghaitech_keepfull \
12 --epochs 701 > logs/$task.log &
10 --batch_size 16 \
11 --datasetname shanghaitech_rnd \
12 --epochs 2001 > logs/$task.log &
13 13
14 14 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
File train_script/meow_one/head/H1_t3_shb.sh copied from file train_script/meow_one/big_tail/bigtail3_t1_shb.sh (similarity 63%) (mode: 100644) (index 30e7fac..69e154d)
1 task="bigtail3_t1_shb"
1 task="H1_t3_shb"
2 2
3 3 CUDA_VISIBLE_DEVICES=1 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \ CUDA_VISIBLE_DEVICES=1 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \
4 4 --task_id $task \ --task_id $task \
5 --note "bigtail3 shanghaitech_rnd" \
6 --model "BigTail3" \
5 --note "a continue train from sha" \
6 --model "H1" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \
8 8 --lr 1e-4 \ --lr 1e-4 \
9 9 --decay 1e-4 \ --decay 1e-4 \
10 10 --batch_size 8 \ --batch_size 8 \
11 --load_model saved_model/H1_t2_sha/H1_t2_sha_checkpoint_840000.pth \
11 12 --datasetname shanghaitech_rnd \ --datasetname shanghaitech_rnd \
12 --epochs 301 > logs/$task.log &
13 --epochs 2001 > logs/$task.log &
13 14
14 15 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
File train_script/meow_one/head/H1_t4_shb.sh copied from file train_script/meow_one/M4_t3_shb_c2.sh (similarity 53%) (mode: 100644) (index 4fb09c4..22d1984)
1 task="M4_t3_shb_c2"
1 task="H1_t4_shb"
2 2
3 3 CUDA_VISIBLE_DEVICES=2 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \ CUDA_VISIBLE_DEVICES=2 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \
4 4 --task_id $task \ --task_id $task \
5 --note "M4 continue" \
6 --model "M4" \
5 --note "a continue train from sha" \
6 --model "H1" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \
8 --lr 1e-5 \
9 --decay 1e-5 \
10 --batch_size 8 \
11 --load_model saved_model/M4_t3_shb/M4_t3_shb_checkpoint_60000.pth \
8 --lr 2e-5 \
9 --decay 1e-4 \
10 --batch_size 16 \
11 --load_model saved_model/H1_t2_sha/H1_t2_sha_checkpoint_840000.pth \
12 12 --datasetname shanghaitech_rnd \ --datasetname shanghaitech_rnd \
13 --epochs 701 > logs/$task.log &
13 --epochs 2501 > logs/$task.log &
14 14
15 15 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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