hahattpro / crowd_counting_framework (public) (License: Unspecified) (since 2020-12-23) (hash sha1)
backupfrom https://github.com/ttpro1995/crowd_counting_framework
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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)
t10 87d6dd6e7debf45e16953e39471c13071039fa59 Thai Thien 2020-07-12 18:57:17
fix 45617766d305df841b7b0af3c2f6204a2e6d4f46 Thai Thien 2020-07-12 18:45:01
ccnn_v7_t8_shb 9f921d9415b89d9c9d4f4e8ef9b65b32663e06ec Thai Thien 2020-07-12 16:00:42
fix shanghaitech_non_overlap 9332377476d2d7524822ba98e2321c75be90f709 Thai Thien 2020-07-12 15:57:08
fix flatten collate bb25738b0510915712a17daeb590b668b446b0be Thai Thien 2020-07-12 15:17:14
ccnn_v7_t6_shb c4f59ee01cbdab3f506302588b9667cd1c9f6411 Thai Thien 2020-07-12 14:19:03
do not *4 root if we have flatten augmentation list c534aa36bf314ea32643e92231194bd020d7bf1f Thai Thien 2020-07-12 14:19:00
train val split shb 61581543d16aaa2640bdee0b3573e41d1843770d Thai Thien 2020-07-12 14:06:25
flatten collate c04708ae0defc81dbf441395e1d27de6a1d598fc Thai Thien 2020-07-12 13:54:01
travis remove nightly d4b0c714823046bbafcd3c816d56f7079c76d126 Thai Thien 2020-07-12 13:27:55
travis e6368ec3102e01f1bdc71a80a78f0db3617d7e08 Thai Thien 2020-07-12 12:33:21
flatten_collate 1e460396875c205c42de27449f56e73cd4ec10e0 Thai Thien 2020-07-12 12:23:40
train val split test ratio to 0.1 5091da3f0b45d875a38c2829e4fec5e61116e869 Thai Thien 2020-07-11 03:14:26
f 1defee5dc452c2da5fb540ff1050f6e01fe1878b Thai Thien 2020-07-10 17:04:58
fix log db4d655a313b8f3951baf225a4b197fce4bcdd4b Thai Thien 2020-07-10 16:50:03
typo, trunc 3.0 not 4.0 ee29c49efd0a5087f11662997b8992d25671a33a Thai Thien 2020-07-10 16:44:55
let try with trunc 3.0 f8eac179b1fa79d6451f19a9e6a35b82b94646a4 Thai Thien 2020-07-10 16:43:41
train script 7e6984a9eaa6609182ad6c786f6742dd29f1d017 Thai Thien 2020-06-14 10:23:05
fix H3 71d41ac82f273857f7643d8e63e502c701888a5b Thai Thien 2020-06-14 10:10:39
typo bc78059e62b17a5a617e3e0294f5c72dd4bd347e Thai Thien 2020-06-14 10:06:35
Commit 87d6dd6e7debf45e16953e39471c13071039fa59 - t10
Author: Thai Thien
Author date (UTC): 2020-07-12 18:57
Committer name: Thai Thien
Committer date (UTC): 2020-07-12 18:57
Parent(s): 45617766d305df841b7b0af3c2f6204a2e6d4f46
Signing key:
Tree: 16f2450cff15e005e0a614be7d545a2cf293283d
File Lines added Lines deleted
debug/explore_shb_fatten_list.py 2 2
train_script/CCNN/ccnn_v7_t10_shb.sh 3 3
File debug/explore_shb_fatten_list.py changed (mode: 100644) (index 6e74d94..d1bff77)
... ... if __name__ == "__main__":
43 43 print(len(train_loader)) print(len(train_loader))
44 44 print(len(val_loader)) print(len(val_loader))
45 45
46 for img, label in train_loader:
47 print(img.shape, label.shape)
46 for img, label in val_loader:
47 print(img.shape, label)
File train_script/CCNN/ccnn_v7_t10_shb.sh copied from file train_script/CCNN/ccnn_v7_t9_shb.sh (similarity 90%) (mode: 100644) (index 9519d18..c0f4639)
1 task="ccnn_v7_t9_shb"
1 task="ccnn_v7_t10_shb"
2 2
3 3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=3 PYTHONWARNINGS="ignore" HTTPS_PROXY="http://10.60.28.99:86" nohup python experiment_main.py \ CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=3 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 "try new argmentation and train test split " \ --note "try new argmentation and train test split " \
6 6 --model "CompactCNNV7" \ --model "CompactCNNV7" \
7 7 --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \ --input /data/rnd/thient/thient_data/shanghaitech_with_people_density_map/ShanghaiTech_3/part_B \
8 --lr 1e-5 \
9 --decay 1e-5 \
8 --lr 1e-4 \
9 --decay 1e-4 \
10 10 --batch_size 3 \ --batch_size 3 \
11 11 --loss_fn "MSEMean" \ --loss_fn "MSEMean" \
12 12 --datasetname shanghaitech_non_overlap \ --datasetname shanghaitech_non_overlap \
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