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)
fix script for ccnn_v2_t1_c2 57928056d13bc9b1f9b11e14dd305005a3a5aeea Thai Thien 2020-03-10 04:56:33
fix trash code 33c406b13b5d45527b05dfb7f4281c3966c6471e Thai Thien 2020-03-10 04:49:52
repair dir in config baf522825f906a3d1fc5524f42a80da33d059640 Thai Thien 2020-03-10 04:45:11
v3 t1 c2 2d4727f47f4262833dca2087fb9e48f0d117e334 Thai Thien 2020-03-10 04:29:23
dilated ccnn v1 t1 7807d7a979353fa84d0b7319820386e93dbe5cc4 Thai Thien 2020-03-09 17:20:58
new ccnn 44a669c1f918be9d74313f29a5dbbc876c29f2fc Thai Thien 2020-03-09 17:16:49
fix script aa331331b12e5b454d372a550524b30a4bebe706 Thai Thien 2020-03-07 18:32:06
try reproduct ccnn with keepfull and lr 1e-5 814c520cbd1bb2d7fd50d2a8d3579d43da79fe60 Thai Thien 2020-03-07 18:30:42
my simple v4 with addition deform cnn at the end 5392aaf6c14fdd910f52096dbb921bed7470c4f7 Thai Thien 2020-03-07 18:15:22
fix the scheduler 77e6737a040f5aa5745b8a8830f5bec12322b10f Thai Thien 2020-03-07 17:46:02
t4 lr 1e-5 acd41ed30c95f63e01a05a6d9929410637852d9e Thai Thien 2020-03-06 19:41:49
no more lr scheduler 7289adb41de7807258eb8c29e6108fa65f59525a Thai Thien 2020-03-06 19:35:49
reduce learning rate bc8241e5b88b91c18bb7999a8d5d12fc79a5e3f7 Thai Thien 2020-03-06 19:28:27
dilated ccnn 5c5d92bdc0a288dd5d4ec5f1367d8cb928175bbe Thai Thien 2020-03-06 19:04:01
done 9f05e093ec7c10284a4aedf0738f9e61d5ac6fb6 Thai Thien 2020-03-06 18:02:34
with lr scheduler 466c364b60ed22c77319b14ccc9a201614b908bf Thai Thien 2020-03-04 17:57:49
train with learning rate scheduler fcd5a3c8da2dd6763e0d40742edf47b49c95fcfb Thai Thien 2020-03-04 17:55:11
ccnn no padding at output layer 57563fc07f656c63f807de4d80712ff11345109d Thai Thien 2020-03-04 17:36:43
fix dimension of ccnn f4439d9a78273ab3ba450f31a528509816b4352f Thai Thien 2020-03-04 17:32:48
ready to train dbe0d6c3271dbb22490f0877fa31ba9cd7852b99 Thai Thien 2020-03-04 15:55:05
Commit 57928056d13bc9b1f9b11e14dd305005a3a5aeea - fix script for ccnn_v2_t1_c2
Author: Thai Thien
Author date (UTC): 2020-03-10 04:56
Committer name: Thai Thien
Committer date (UTC): 2020-03-10 04:56
Parent(s): 33c406b13b5d45527b05dfb7f4281c3966c6471e
Signing key:
Tree: 15321798640740d1f6c025b96dbafcb96f3c5ba1
File Lines added Lines deleted
models/compact_cnn.py 1 1
train_script/CCNN/ccnn_v3_t1_c2.sh 2 2
File models/compact_cnn.py changed (mode: 100644) (index 6576867..25cef10)
... ... class CompactCNN(nn.Module):
16 16 self.red_cnn = nn.Conv2d(3, 10, 9, padding=4) self.red_cnn = nn.Conv2d(3, 10, 9, padding=4)
17 17 self.green_cnn = nn.Conv2d(3, 14, 7, padding=3) self.green_cnn = nn.Conv2d(3, 14, 7, padding=3)
18 18 self.blue_cnn = nn.Conv2d(3, 16, 5, padding=2) self.blue_cnn = nn.Conv2d(3, 16, 5, padding=2)
19
19
20 20 self.max_pooling = nn.MaxPool2d(kernel_size=2, stride=2) self.max_pooling = nn.MaxPool2d(kernel_size=2, stride=2)
21 21
22 22 self.c1 = nn.Conv2d(40, 60, 3, padding=1) self.c1 = nn.Conv2d(40, 60, 3, padding=1)
File train_script/CCNN/ccnn_v3_t1_c2.sh changed (mode: 100644) (index 3b589c4..b6d563e)
1 1 CUDA_VISIBLE_DEVICES=6 nohup python train_compact_cnn.py \ CUDA_VISIBLE_DEVICES=6 nohup python train_compact_cnn.py \
2 2 --task_id ccnn_v3_t1_c2 \ --task_id ccnn_v3_t1_c2 \
3 3 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \ --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
4 --lr 1e-5 \
4 --lr 1e-6 \
5 5 --decay 5e-5 \ --decay 5e-5 \
6 6 --load_model saved_model/ccnn_v3_t1/ccnn_v3_t1_checkpoint_478800.pth \ --load_model saved_model/ccnn_v3_t1/ccnn_v3_t1_checkpoint_478800.pth \
7 7 --datasetname shanghaitech_keepfull \ --datasetname shanghaitech_keepfull \
8 --epochs 401 > logs/ccnn_v3_t1_c2.log &
8 --epochs 800 > logs/ccnn_v3_t1_c2.log &
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