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)
train e67e3fcb8b77db53f990f8582e43c053f69d6c09 Thai Thien 2020-05-21 17:31:12
fix script e864e72a9b1fd0e6dfe200b3a9b569016f9894c0 Thai Thien 2020-05-21 17:24:38
rename 4f5e84a74bfd4f2a4f60554b9037eb097bafb0df Thai Thien 2020-05-21 17:23:08
implement the main flow f31d93a1f3f78575c9ee06bc47b541007789643a Thai Thien 2020-05-21 17:16:52
script 4d177e367c6609a0592525ee44b32bcbe43536a6 Thai Thien 2020-05-19 16:30:08
python code to split train data to train and validate 0dfb94063b0bdc7aa660b78ab61b9ee5e61a4199 Thai Thien 2020-05-18 16:19:21
fix dim mismatch 93ea7669d891301e9c00aadccdea27bb5e138656 Thai Thien 2020-05-12 17:19:33
train h1 bigtail ea6391257cd243098cbbb771e705f1f115b845df Thai Thien 2020-05-12 16:58:26
mse mean e96c22a36e305681d7fed415a5a949fa0c1791c9 Thai Thien 2020-05-10 18:32:02
no fix 7bd97e91de5d7c2d307407287c82e60e893c0c92 Thai Thien 2020-05-10 18:22:45
no fix fc20ae6922c2e53f7d37f4228fb921894cd78eab Thai Thien 2020-05-10 18:19:59
t9 d8ef865ea602670548e897d8b7ac4c925cc9b393 Thai Thien 2020-05-10 18:19:30
test with L1 loss 6492b65da4bdf6351b661f39b6bce6f08d37f17c Thai Thien 2020-05-10 18:10:49
H2 1d6d11b2eeecb67dd7d329e38de61b872870a9aa Thai Thien 2020-05-06 17:42:52
do something with l1 loss 5268c4fc163bb512f293fbac381a64a75c4fe462 Thai Thien 2020-05-06 17:32:45
typo b7b8e2303ce99b2196402ec93334598598e71e5a Thai Thien 2020-05-05 17:32:31
increase epoch 67f89509e4294c4310b42e790425c82279df16b3 Thai Thien 2020-05-05 17:25:17
H1 t8 1c692b37536bd72abaa0995001d3a396b82bc2f0 Thai Thien 2020-05-05 17:24:56
OMP_NUM_THREADS=5 ac76431f8ca1ada27ca7ffdaa289996baee064c1 Thai Thien 2020-05-05 17:14:41
train da020f46703ca4fae867a09960593ef6818b4a91 Thai Thien 2020-05-05 17:05:06
Commit e67e3fcb8b77db53f990f8582e43c053f69d6c09 - train
Author: Thai Thien
Author date (UTC): 2020-05-21 17:31
Committer name: Thai Thien
Committer date (UTC): 2020-05-21 17:31
Parent(s): e864e72a9b1fd0e6dfe200b3a9b569016f9894c0
Signing key:
Tree: 4c38984667ccbe351ecb287070af6f3c1e33905f
File Lines added Lines deleted
train_script/meow_one/head/H1_t10_sha.sh 2 2
train_script/meow_one/head/H1_t10_shb_fixed.sh 5 5
train_script/meow_one/head/H2_t2_sha.sh 3 2
train_script/meow_one/head/H2_t2_shb_fixed.sh 3 2
File train_script/meow_one/head/H1_t10_sha.sh copied from file train_script/meow_one/head/H1_t9_sha.sh (similarity 78%) (mode: 100644) (index 010d5b5..3848932)
1 1 task="H1_t9_sha" task="H1_t9_sha"
2 2
3 CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \
3 CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 5 --note "shb sigma 15 L1" \ --note "shb sigma 15 L1" \
6 6 --model "H1" \ --model "H1" \
 
... ... CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" noh
9 9 --decay 1e-4 \ --decay 1e-4 \
10 10 --loss_fn "L1" \ --loss_fn "L1" \
11 11 --datasetname shanghaitech_20p \ --datasetname shanghaitech_20p \
12 --epochs 1201 > logs/$task.log &
12 --epochs 601 > logs/$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_t10_shb_fixed.sh copied from file train_script/meow_one/big_tail/bigtail3_t4_shb_fixed.sh (similarity 70%) (mode: 100644) (index 1de7d38..e153343)
1 task="bigtail3_t4_shb_fixed"
1 task="H1_t9_shb_fixed"
2 2
3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \
3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 --note "bigtail3 L1" \
6 --model "BigTail3" \
5 --note "shb sigma 15 L1" \
6 --model "H1" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_B \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_B \
8 8 --lr 1e-4 \ --lr 1e-4 \
9 9 --decay 1e-4 \ --decay 1e-4 \
10 --batch_size 8 \
10 --batch_size 20 \
11 11 --loss_fn "L1" \ --loss_fn "L1" \
12 12 --datasetname shanghaitech_rnd \ --datasetname shanghaitech_rnd \
13 13 --epochs 601 > logs/$task.log & --epochs 601 > logs/$task.log &
File train_script/meow_one/head/H2_t2_sha.sh copied from file train_script/meow_one/head/H2_t1_sha.sh (similarity 58%) (mode: 100644) (index dc427fd..87c04b9)
1 1 task="H2_t1_sha" task="H2_t1_sha"
2 2
3 CUDA_VISIBLE_DEVICES=5 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \
3 CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 5 --note "a" \ --note "a" \
6 6 --model "H2" \ --model "H2" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
8 8 --lr 1e-4 \ --lr 1e-4 \
9 9 --decay 1e-4 \ --decay 1e-4 \
10 --loss_fn "L1" \
10 11 --datasetname shanghaitech_20p \ --datasetname shanghaitech_20p \
11 --epochs 1201 > logs/$task.log &
12 --epochs 601 > logs/$task.log &
12 13
13 14 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
File train_script/meow_one/head/H2_t2_shb_fixed.sh copied from file train_script/meow_one/head/H2_t1_shb_fixed.sh (similarity 79%) (mode: 100644) (index 1eddc1d..0548a54)
1 1 task="H2_t1_shb_fixed" task="H2_t1_shb_fixed"
2 2
3 CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_meow_main.py \
3 CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \
4 4 --task_id $task \ --task_id $task \
5 5 --note "shb sigma 15" \ --note "shb sigma 15" \
6 6 --model "H2" \ --model "H2" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_B \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_fixed_sigma/part_B \
8 8 --lr 1e-4 \ --lr 1e-4 \
9 9 --decay 1e-4 \ --decay 1e-4 \
10 --loss_fn "L1" \
10 11 --batch_size 20 \ --batch_size 20 \
11 12 --datasetname shanghaitech_rnd \ --datasetname shanghaitech_rnd \
12 --epochs 301 > logs/$task.log &
13 --epochs 601 > logs/$task.log &
13 14
14 15 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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