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)
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
best score checkpoint , timer bb26cec915aa04d68a0dd00911c273542f9b34b5 Thai Thien 2020-04-23 11:16:24
typo 2636cf5b78f062c89196c4f462afc4b72aa39798 Thai Thien 2020-04-19 12:10:51
M4 317900419b7ba25c679dd582a6de5fc00fc764ec Thai Thien 2020-04-19 12:09:51
m4 t2 a02b9610e868f4ba5e64496dc0c861a269f4cb9f Thai Thien 2020-04-17 16:01:39
fix url 358f164d558dab393f65c0829d8d9c37b1437ff3 Thai Thien 2020-04-16 14:32:49
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
Commit 624ecec7b12641f734e12ee2ebb6158c7c89683a - training script
M4_t2_sha_c_shb

ccnn_v2_t6_sha_c2_shb

ccnn_v2_t8_sha
Author: Thai Thien
Author date (UTC): 2020-04-25 17:08
Committer name: Thai Thien
Committer date (UTC): 2020-04-25 17:08
Parent(s): 05fa10a45e7c4f9d0ba6b80e578a0f934a86121e
Signer:
Signing key:
Signing status: N
Tree: 361642b582ab99249bf0a6a9b43c63a07cc2e35e
File Lines added Lines deleted
train_script/CCNN/ccnn_v2_t6_sha_c2_shb.sh 9 0
train_script/CCNN/ccnn_v2_t8_sha.sh 8 0
train_script/meow_one/M4_t2_sha_c_shb.sh 5 5
File train_script/CCNN/ccnn_v2_t6_sha_c2_shb.sh added (mode: 100644) (index 0000000..db4d0cf)
1 CUDA_VISIBLE_DEVICES=2 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
2 --task_id ccnn_v2_t6_sha_c2_shb \
3 --note "ccnn v2 sha then shb" \
4 --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \
5 --lr 1e-4 \
6 --decay 1e-4 \
7 --load_model saved_model/ccnn_v2_t6_sha_c2/ccnn_v2_t6_sha_c2_checkpoint_1440000.pth \
8 --datasetname shanghaitech_rnd \
9 --epochs 1601 > logs/ccnn_v2_t6_sha_c2_shb.log &
File train_script/CCNN/ccnn_v2_t8_sha.sh added (mode: 100644) (index 0000000..df64118)
1 CUDA_VISIBLE_DEVICES=3 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
2 --task_id ccnn_v2_t8_sha \
3 --note "ccnnv2 keep full" \
4 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
5 --lr 1e-4 \
6 --decay 1e-4 \
7 --datasetname shanghaitech_keepfull \
8 --epochs 1500 > logs/ccnn_v2_t8_sha.log &
File train_script/meow_one/M4_t2_sha_c_shb.sh copied from file train_script/meow_one/big_tail/bigtail3_t1_shb.sh (similarity 58%) (mode: 100644) (index 30e7fac..dab3e78)
1 task="bigtail3_t1_shb"
1 task="M4_t2_sha_c_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 $task \
5 --note "bigtail3 shanghaitech_rnd" \
6 --model "BigTail3" \
5 --note "M4 train sha then shb, high lr" \
6 --model "M4" \
7 7 --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_B \
8 8 --lr 1e-4 \ --lr 1e-4 \
9 9 --decay 1e-4 \ --decay 1e-4 \
10 --batch_size 8 \
10 --load_model saved_model/M4_t2_sha_coun/M4_t2_sha_coun_checkpoint_960000.pth \
11 11 --datasetname shanghaitech_rnd \ --datasetname shanghaitech_rnd \
12 --epochs 301 > logs/$task.log &
12 --epochs 1201 > logs/$task.log &
13 13
14 14 echo logs/$task.log # for convenience echo logs/$task.log # for convenience
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