Subject | Hash | Author | Date (UTC) |
---|---|---|---|
H3_t1_sha H3_t2_sha H3_t2_shb_fixed ccnn_adam_t7_shb ccnn_adam_t7_sha | ca7e1ccab41314f8a30e48609421db3a2c41bbe0 | Thai Thien | 2020-06-14 09:59:17 |
train script | da9ad066d6d835f38eb9e9c2b771ff412124552a | Thai Thien | 2020-06-13 18:06:22 |
train script ccnnv9 | 8ab76b70dad11b1458f8c1bfc2f1765c6ece984d | Thai Thien | 2020-06-13 17:57:02 |
train script | 7ab6cf827c811af9a0c9168de2fde4dbd0fb3e61 | Thai Thien | 2020-06-13 11:54:21 |
fix typo also | 3d32c83c822a66ac24ebb6d8cfe4d023d167d441 | Thai Thien | 2020-06-13 04:45:27 |
typo in training script | 07c6055e3bdacaca34c0aaacd49d5c87a07f4320 | Thai Thien | 2020-06-13 04:44:20 |
ccnnv9 leaky relu | 5fd462122ef62498a51dd83db2c89507254d7a96 | Thai Thien | 2020-06-13 04:40:41 |
CompactCNNv9 leaky relu | 03e5f342cc6eb3ba4fd0b98061398acedde6ab54 | Thai Thien | 2020-06-13 04:36:43 |
train script | ad55dbff34ffab8cffd068536c4d2f2b57a487ee | Thai Thien | 2020-06-13 04:17:21 |
add L1Mean, add experiment tag on cometml | 125f03f6f136bde9fa11b00a749b8a0c3de51534 | Thai Thien | 2020-06-13 04:15:30 |
msenone | f68f48cc1a2e28a65da368a9a66ebec9f8694467 | Thai Thien | 2020-06-13 03:54:44 |
train script | 2b142c16cce5403d0d673077d2b1e442af072e42 | Thai Thien | 2020-06-12 16:42:25 |
train script | 67923fc98cd4f82880e973f7dbf143c09ffcf8e8 | Thai Thien | 2020-06-12 16:01:59 |
ccnnv8 adam t1 sha, H3 | 0cab419a2c9747611347b6ddb75ca8a5cb20eb79 | Thai Thien | 2020-06-11 16:21:47 |
ccnv8 adam t1 shb | edd704f19c3d58d959c13b96100498c8809b309c | Thai Thien | 2020-06-11 15:51:21 |
ccnnv8 | 4e8e6e864c3f2fea80a3b61addbc26eb8f3ae059 | Thai Thien | 2020-06-11 15:47:04 |
bigtail7 cuda4 | fdde3eb95706e95cdc0e8d81f93f2e08036d3192 | Thai Thien | 2020-06-11 15:45:38 |
train script, bigtail6, bigtail7 shb | ea5758dcd7d8428e694cc84d50c81267eabcef23 | Thai Thien | 2020-06-11 15:36:54 |
WIP | 3d7e1f10700c05bf7672cbf46ae6cafae8f2330f | Thai Thien | 2020-06-11 13:07:18 |
return x | c750d65fe266979e9cdebf9a53b2af343462fbda | Thai Thien | 2020-06-11 12:39:13 |
File train_script/adam_stuff/ccnn_adam_t5_sha.sh changed (mode: 100644) (index e132dc6..fa96514) | |||
1 | task="ccnn_adam_t6_sha" | ||
1 | task="ccnn_adam_t5_sha" | ||
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=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 "adam lr 1e-4" \ | ||
5 | --note "lr 1e-4 with L1Mean" \ | ||
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
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 "MSEMean" \ | ||
10 | --loss_fn "L1Mean" \ | ||
11 | 11 | --skip_train_eval \ | --skip_train_eval \ |
12 | 12 | --batch_size 1 \ | --batch_size 1 \ |
13 | 13 | --optim "adam" \ | --optim "adam" \ |
File train_script/adam_stuff/ccnn_adam_t6_sha.sh changed (mode: 100644) (index fa96514..f1a69e4) | |||
1 | task="ccnn_adam_t5_sha" | ||
1 | task="ccnn_adam_t6_sha" | ||
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
3 | CUDA_VISIBLE_DEVICES=5 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 "lr 1e-4 with L1Mean" \ | --note "lr 1e-4 with L1Mean" \ |
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
7 | 7 | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ |
8 | --lr 1e-4 \ | ||
9 | --decay 1e-4 \ | ||
8 | --lr 1e-5 \ | ||
9 | --decay 1e-5 \ | ||
10 | 10 | --loss_fn "L1Mean" \ | --loss_fn "L1Mean" \ |
11 | 11 | --skip_train_eval \ | --skip_train_eval \ |
12 | 12 | --batch_size 1 \ | --batch_size 1 \ |
File train_script/adam_stuff/ccnn_adam_t7_sha.sh copied from file train_script/adam_stuff/ccnn_adam_t6_sha.sh (similarity 73%) (mode: 100644) (index fa96514..b8fe270) | |||
1 | task="ccnn_adam_t5_sha" | ||
1 | task="ccnn_adam_t7_sha" | ||
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
3 | CUDA_VISIBLE_DEVICES=6 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 "lr 1e-4 with L1Mean" \ | --note "lr 1e-4 with L1Mean" \ |
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
7 | 7 | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ |
8 | --lr 1e-4 \ | ||
9 | --decay 1e-4 \ | ||
10 | --loss_fn "L1Mean" \ | ||
8 | --lr 1e-5 \ | ||
9 | --decay 1e-5 \ | ||
10 | --loss_fn "MSEMean" \ | ||
11 | 11 | --skip_train_eval \ | --skip_train_eval \ |
12 | 12 | --batch_size 1 \ | --batch_size 1 \ |
13 | 13 | --optim "adam" \ | --optim "adam" \ |
File train_script/adam_stuff/ccnn_adam_t7_shb.sh copied from file train_script/adam_stuff/ccnn_adam_t3_shb.sh (similarity 80%) (mode: 100644) (index 6c7fb08..ef835d1) | |||
1 | task="ccnn_adam_t3_shb" | ||
1 | task="ccnn_adam_t7_shb" | ||
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=3 OMP_NUM_THREADS=2 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ | ||
3 | CUDA_VISIBLE_DEVICES=7 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 lr and decay, 8" \ | --note "adam lr and decay, 8" \ |
6 | 6 | --model "CompactCNNV7" \ | --model "CompactCNNV7" \ |
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-5 \ | --lr 1e-5 \ |
9 | 9 | --decay 1e-5 \ | --decay 1e-5 \ |
10 | --loss_fn "MSEMean" \ | ||
10 | --loss_fn "L1Mean" \ | ||
11 | 11 | --skip_train_eval \ | --skip_train_eval \ |
12 | 12 | --batch_size 8 \ | --batch_size 8 \ |
13 | 13 | --optim "adam" \ | --optim "adam" \ |
File train_script/meow_one/head/H3_t1_sha.sh copied from file train_script/adam_stuff/ccnnv9_adam_t5_sha.sh (similarity 62%) (mode: 100644) (index 4f8533f..d22e266) | |||
1 | task="ccnnv9_adam_t5_sha" | ||
1 | task="H3_t1_sha" | ||
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=4 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 $task \ |
5 | --note "leaky relu" \ | ||
6 | --model "CompactCNNV9" \ | ||
5 | --note "h3 with sha, add 3x3" \ | ||
6 | --model "H3" \ | ||
7 | 7 | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ |
8 | 8 | --lr 1e-5 \ | --lr 1e-5 \ |
9 | --decay 1e-5 \ | ||
9 | --decay 1e-5 \ | ||
10 | 10 | --loss_fn "MSEMean" \ | --loss_fn "MSEMean" \ |
11 | --optim "adam" \ | ||
11 | 12 | --skip_train_eval \ | --skip_train_eval \ |
12 | --batch_size 1 \ | ||
13 | --optim "adam" \ | ||
14 | 13 | --datasetname shanghaitech_crop_random \ | --datasetname shanghaitech_crop_random \ |
15 | 14 | --epochs 1201 > logs/$task.log & | --epochs 1201 > logs/$task.log & |
16 | 15 |
File train_script/meow_one/head/H3_t2_sha.sh copied from file train_script/adam_stuff/ccnn_adam_t6_sha.sh (similarity 65%) (mode: 100644) (index fa96514..c44ca29) | |||
1 | task="ccnn_adam_t5_sha" | ||
1 | task="H3_t2_sha" | ||
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 $task \ |
5 | --note "lr 1e-4 with L1Mean" \ | ||
6 | --model "CompactCNNV7" \ | ||
5 | --note "h3 with sha, add 3x3" \ | ||
6 | --model "H3" \ | ||
7 | 7 | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ | --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ |
8 | --lr 1e-4 \ | ||
9 | --decay 1e-4 \ | ||
8 | --lr 1e-5 \ | ||
9 | --decay 1e-5 \ | ||
10 | 10 | --loss_fn "L1Mean" \ | --loss_fn "L1Mean" \ |
11 | --optim "adam" \ | ||
11 | 12 | --skip_train_eval \ | --skip_train_eval \ |
12 | --batch_size 1 \ | ||
13 | --optim "adam" \ | ||
14 | 13 | --datasetname shanghaitech_crop_random \ | --datasetname shanghaitech_crop_random \ |
15 | --epochs 1200 > logs/$task.log & | ||
14 | --epochs 1201 > logs/$task.log & | ||
16 | 15 | ||
17 | 16 | echo logs/$task.log # for convenience | echo logs/$task.log # for convenience |
File train_script/meow_one/head/H3_t2_shb_fixed.sh copied from file train_script/meow_one/head/H3_t1_shb_fixed.sh (similarity 77%) (mode: 100644) (index 889c132..9f4aab8) | |||
1 | task="H3_t1_shb_fixed" | ||
1 | task="H3_t2_shb_fixed" | ||
2 | 2 | ||
3 | CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_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 "H3" \ | --model "H3" \ |
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-5 \ | --lr 1e-5 \ |
9 | 9 | --decay 1e-5 \ | --decay 1e-5 \ |
10 | --loss_fn "MSEMean" \ | ||
10 | --loss_fn "L1Mean" \ | ||
11 | 11 | --optim "adam" \ | --optim "adam" \ |
12 | 12 | --batch_size 8 \ | --batch_size 8 \ |
13 | 13 | --datasetname shanghaitech_rnd \ | --datasetname shanghaitech_rnd \ |