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)
no force cache 33946d1f09a1e77c7758acbcd61e385a1800e854 Thai Thien 2020-09-10 17:47:06
skip train eval 186cb449855cb567fc61801bd3a1a4c0767a7d35 Thai Thien 2020-09-10 17:17:10
70 cuda mem but why ? f63f482418b6c85d2a289da9e9e43ca2b50cdd5d Thai Thien 2020-09-10 16:42:00
n_thread int f6243317336e07b9b6177c89ec3072c7d18189c6 Thai Thien 2020-09-10 16:22:36
t3 fix num thread 8981cf96a953c643b3443f39ad73487d2e7e044d Thai Thien 2020-09-10 16:20:28
jhu float32 c0b004d6a733f83e469bb3d48f7e20a9c7113957 Thai Thien 2020-09-10 16:14:09
fix float 8867f5d5e160c38a1a7d67b2fac728cf60e6649e Thai Thien 2020-09-10 16:03:15
try catch empty file e7d392cd6ec807f3ae242ef5090f5725ced9f897 Thai Thien 2020-09-10 15:40:14
case no label at all 51b423b2ee9271e3639a332ecab092944636d8f2 Thai Thien 2020-09-09 13:49:29
remove experiment 06478164cb8e00ed5512a0d4db0dbc6edc1b5ad1 Thai Thien 2020-09-08 15:10:33
val train test 5a43d57ba16667cb96f9514dcf4b81167ff8bd5a Thai Thien 2020-09-08 15:01:51
parallel, try catch excemption 9ac6a36880a113c1820b1e6a702ed5c08ebcb03f Thai Thien 2020-09-08 14:55:08
now show the number of point in log 54a1a16adf32c866ed65808d16da5f997d27b54f Thai Thien 2020-09-07 17:19:18
gt to ground-truth 3996d1c19d68f3669b5f54e5b621635f0b87a9fc Thai Thien 2020-09-07 17:06:15
change data path 5e6605625ba130310fbeaade259e4a5b98987dad Thai Thien 2020-09-07 17:04:43
test train val e817f1d6f4743286735811fff60f64080a8e76ed Thai Thien 2020-09-07 17:02:57
add profiler fac9aa609d6de1e8cd9cb8a8a97f00063aaae310 Thai Thien 2020-09-07 16:59:36
generate dataset again 7475799e0ff4bdc51ce86ca98751535c841d49c9 Thai Thien 2020-09-07 16:52:00
try to fix cannot convert float infinity to integer b29a994c2f3e73e78ec2ca7d1ad808049f1008e9 Thai Thien 2020-09-07 16:49:44
jhu adamw1_bigtail13i_t1_jhu 77bb789fa2ffadfc07ec6f99e1bcf44bde24bfc3 Thai Thien 2020-09-07 16:38:13
Commit 33946d1f09a1e77c7758acbcd61e385a1800e854 - no force cache
Author: Thai Thien
Author date (UTC): 2020-09-10 17:47
Committer name: Thai Thien
Committer date (UTC): 2020-09-10 17:47
Parent(s): 186cb449855cb567fc61801bd3a1a4c0767a7d35
Signing key:
Tree: cafbb7b9db9399eca1423a1ea8e271c32c142128
File Lines added Lines deleted
data_flow.py 4 2
train_script/learnstuff/l3/adamw1_bigtail13i_t6_jhu.sh 2 2
File data_flow.py changed (mode: 100644) (index b250689..0418e46)
... ... def get_dataloader(train_list, val_list, test_list, dataset_name="shanghaitech",
1276 1276 transform=transformer, transform=transformer,
1277 1277 train=False, train=False,
1278 1278 debug=debug, debug=debug,
1279 dataset_name=dataset_name, cache=True), # evaluation set always cache
1279 batch_size=test_size,
1280 dataset_name=dataset_name, cache=cache), # evaluation set always cache
1280 1281 num_workers=0, num_workers=0,
1281 1282 batch_size=test_size, batch_size=test_size,
1282 1283 pin_memory=pin_memory) pin_memory=pin_memory)
 
... ... def get_dataloader(train_list, val_list, test_list, dataset_name="shanghaitech",
1290 1291 transform=transformer, transform=transformer,
1291 1292 train=False, train=False,
1292 1293 debug=debug, debug=debug,
1293 dataset_name=dataset_name, cache=True), # evaluation set always cache
1294 batch_size=test_size,
1295 dataset_name=dataset_name, cache=cache), # evaluation set always cache
1294 1296 num_workers=0, num_workers=0,
1295 1297 batch_size=test_size, batch_size=test_size,
1296 1298 pin_memory=pin_memory) pin_memory=pin_memory)
File train_script/learnstuff/l3/adamw1_bigtail13i_t6_jhu.sh copied from file train_script/learnstuff/l3/adamw1_bigtail13i_t4_jhu.sh (similarity 78%) (mode: 100644) (index ccacd5e..da284f9)
1 task="adamw1_bigtail13i_t4_jhu"
1 task="adamw1_bigtail13i_t6_jhu"
2 2
3 3 CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=6 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=4 OMP_NUM_THREADS=6 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 "adamW with extrem high lr and decay, msel1mean on jhu" \
5 --note "adamW with extrem high lr and decay, msel1mean on jhu, no more force eval cache" \
6 6 --model "BigTail13i" \ --model "BigTail13i" \
7 7 --input /data/rnd/thient/thient_data/jhu_crowd_plusplus \ --input /data/rnd/thient/thient_data/jhu_crowd_plusplus \
8 8 --lr 1e-3 \ --lr 1e-3 \
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