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)
ccn v7 shb fixed 15 4b28c4049c4b25a6afeb563864f76907a1e2360e Thai Thien 2020-05-02 11:16:14
shb 7af5a7bb61d8858a2f6ef36d44844506cde917c3 Thai Thien 2020-05-02 11:14:03
batch đéo 62e1e9124b7e611c6749c1544c60687abd30895e Thai Thien 2020-05-01 17:10:44
sanity check 67ff41702b4da7956c1c2d67b9c8c40fd65d866d Thai Thien 2020-05-01 17:08:52
sha with fixed ground true sigma b368c9b07841e462ebff4f75b260c90ce1d4571f Thai Thien 2020-05-01 16:55:43
make sha training set d446d4ac968186bb564d907be1f34ba39c8dde5f Thai Thien 2020-05-01 15:56:02
OMP_NUM_THREADS=4 8e80475ba9cfd8bff7185327c81fe72b42cf0f28 Thai Thien 2020-04-30 19:44:28
ssim t6 edf1dcc13c83aaa933d94ea77140e551c0660e14 Thai Thien 2020-04-30 19:41:33
4 threads dc740b82dc931f9b4c971322a28876a3d95735f0 Thai Thien 2020-04-30 19:35:22
torch.set_num_threads(4) a45027f9b9088eb55da8fa7994dd6944e572b0e2 Thai Thien 2020-04-30 19:33:50
pin_memory=False dabbd7134c597e184c1be88831f15416579ceddc Thai Thien 2020-04-30 19:31:17
debug cpu consume d5d9699e2fed3725cd5467cdacd1b5762f2b988f Thai Thien 2020-04-30 19:20:38
only import ssim when it is needed 3088d6fe240f94cb47057d76e9fc4da48f2d3aaf Thai Thien 2020-04-30 19:16:10
no more batch timer 3fea48c4642f62ab92accbe2493b6275d68c1b02 Thai Thien 2020-04-30 19:04:16
num_worker=0 9e21a25fd4194e99c7899f7c6b6f04d51b432c61 Thai Thien 2020-04-30 19:01:09
.to(device) 136bafc672194946e944e85d43880f3342abf9be Thai Thien 2020-04-30 18:52:05
we load, so increase epoch b147d3d824c0597390900cb3506495ad9d842bd4 Thai Thien 2020-04-30 18:45:20
wrong note 31e67446689b4cecb8f118c43e6794fa437e8eb5 Thai Thien 2020-04-30 18:44:38
use ssim ccnn 311308b98fc0a426948953ecdf8b9eec6dfd69dd Thai Thien 2020-04-30 18:38:25
loss reduce as we train, it might ok cf1b359106f6e707e6862f2b3cbc9b5c85466ea4 Thai Thien 2020-04-30 18:34:19
Commit 4b28c4049c4b25a6afeb563864f76907a1e2360e - ccn v7 shb fixed 15
Author: Thai Thien
Author date (UTC): 2020-05-02 11:16
Committer name: Thai Thien
Committer date (UTC): 2020-05-02 11:16
Parent(s): 7af5a7bb61d8858a2f6ef36d44844506cde917c3
Signer:
Signing key:
Signing status: N
Tree: 58904e155749e605f3fa664f778fe58bc9877131
File Lines added Lines deleted
train_script/CCNN/sha_fixed/ccnn_v7_t1_shb_fixed.sh 1 1
train_script/CCNN/sha_fixed/ccnn_v7_t2_shb_fixed.sh 1 1
File train_script/CCNN/sha_fixed/ccnn_v7_t1_shb_fixed.sh changed (mode: 100644) (index 84d0ad3..cbb8609)
1 task="ccnn_v7_t1_sha_fixed"
1 task="ccnn_v7_t1_shb_fixed"
2 2
3 3 CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \ CUDA_VISIBLE_DEVICES=1 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
4 4 --task_id $task \ --task_id $task \
File train_script/CCNN/sha_fixed/ccnn_v7_t2_shb_fixed.sh changed (mode: 100644) (index 9284403..39feeda)
1 task="ccnn_v7_t2_sha_fixed"
1 task="ccnn_v7_t2_shb_fixed"
2 2
3 3 CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \ CUDA_VISIBLE_DEVICES=2 OMP_NUM_THREADS=5 HTTPS_PROXY="http://10.60.28.99:86" nohup python train_compact_cnn.py \
4 4 --task_id $task \ --task_id $task \
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