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)
ready to train dbe0d6c3271dbb22490f0877fa31ba9cd7852b99 Thai Thien 2020-03-04 15:55:05
done implement c-cnn 2deecef953baf1e07ce5cf5477d208bc7ffa34cf Thai Thien 2020-03-03 17:25:03
fix script 0e9d372b9ad60b32939f1e558b2a59fc7d518fa2 Thai Thien 2020-03-02 16:23:55
simple v3 to 91 epoch 539fdd03c3e3497fd22b7db2aaa14f067cbf6f8d Thai Thien 2020-03-02 16:09:43
we train on all training data and validate on test data 9407ef8d5b7c47c53d6f98dcb3c20208aad1d7a9 Thai Thien 2020-03-01 15:36:46
load and continue train v3 12421fb7330e5c9d2eed4f6e574dfe69bdfddefc Thai Thien 2020-03-01 14:50:01
add env file b1ed02088b01af42efc8d6963b3699e0a5c31c01 Thai Thien 2020-03-01 11:10:56
sanity check dataloader 034daa8bef69daff92891cc42b988a6c77b010f9 Thai Thien 2020-03-01 10:24:38
print train loader len eef3995f63a631e0ec5d92e31f5d7db27fd04401 Thai Thien 2020-03-01 05:17:55
simple v3 t1 9ee69fce793709c3dcc692de73ddb9d01c54670e Thai Thien 2020-03-01 05:08:40
try fix load model not training a9d6dc79a460f15bd34bc7c6a4e1359209f59f27 Thai Thien 2020-03-01 05:04:48
continue training for attn can adcrowdnet simple 437fe77a4f50b6c6098a5251dbb42be74d8cdfc4 Thai Thien 2020-03-01 04:40:18
can use GPU 1 084554baa67d3eaa517cdad7be3ac3d1e8ba3e2c Thai Thien 2020-03-01 03:41:48
well, fix can train script actually 1ff1cae8b9fc75fddc4778db804d1469713e55b2 Thai Thien 2020-03-01 03:25:29
can fix a32e4697517e555cccaf3322250d8c298284b5aa Thai Thien 2020-03-01 03:24:19
train script 0b9279193b68083ccb8d5072dcee333c3e0712e8 Thai Thien 2020-03-01 02:24:04
ready train can e774b212367c0bf6b8aaa133afc3845a427a9359 Thai Thien 2020-03-01 02:20:35
simple v3 245472ed0682c617b1975f82c7a0c15ee3494818 Thai Thien 2020-02-29 17:43:39
simplev2 bab195873f45b19020f6d3c5f717742c5e2becbd Thai Thien 2020-02-29 17:17:02
is to == fbcc505592028368dfa9d6fee3e9d1b4a4e83cef Thai Thien 2020-02-29 16:59:40
Commit dbe0d6c3271dbb22490f0877fa31ba9cd7852b99 - ready to train
Author: Thai Thien
Author date (UTC): 2020-03-04 15:55
Committer name: Thai Thien
Committer date (UTC): 2020-03-04 15:55
Parent(s): 2deecef953baf1e07ce5cf5477d208bc7ffa34cf
Signer:
Signing key:
Signing status: N
Tree: c199bb153c7eb3dbefd3b484ab6296aef4292f7e
File Lines added Lines deleted
models/__init__.py 1 0
train_compact_cnn.py 2 2
train_script/CCNN/ccnn_v1_t1.sh 7 0
File models/__init__.py changed (mode: 100644) (index 4fcc014..11bd603)
... ... from .deform_conv_v2 import DeformConv2d
5 5 from .attn_can_adcrowdnet import AttnCanAdcrowdNet from .attn_can_adcrowdnet import AttnCanAdcrowdNet
6 6 from .attn_can_adcrowdnet_freeze_vgg import AttnCanAdcrowdNetFreezeVgg from .attn_can_adcrowdnet_freeze_vgg import AttnCanAdcrowdNetFreezeVgg
7 7 from .attn_can_adcrowdnet_simple import AttnCanAdcrowdNetSimpleV1, AttnCanAdcrowdNetSimpleV2, AttnCanAdcrowdNetSimpleV3 from .attn_can_adcrowdnet_simple import AttnCanAdcrowdNetSimpleV1, AttnCanAdcrowdNetSimpleV2, AttnCanAdcrowdNetSimpleV3
8 from .compact_cnn import CompactCNN
File train_compact_cnn.py copied from file train_attn_can_adcrowdnet_simple.py (similarity 98%) (mode: 100644) (index 4096800..1876089)
... ... from visualize_util import get_readable_time
9 9
10 10 import torch import torch
11 11 from torch import nn from torch import nn
12 from models import AttnCanAdcrowdNetSimpleV3
12 from models import CompactCNN
13 13 import os import os
14 14
15 15
 
... ... if __name__ == "__main__":
40 40 print("len train_loader ", len(train_loader)) print("len train_loader ", len(train_loader))
41 41
42 42 # model # model
43 model = AttnCanAdcrowdNetSimpleV3()
43 model = CompactCNN()
44 44 model = model.to(device) model = model.to(device)
45 45
46 46 # loss function # loss function
File train_script/CCNN/ccnn_v1_t1.sh added (mode: 100644) (index 0000000..f21ad48)
1 CUDA_VISIBLE_DEVICES=5 nohup python train_compact_cnn.py \
2 --task_id ccnn_v1_t1 \
3 --input /data/rnd/thient/thient_data/ShanghaiTech/part_A \
4 --lr 1e-4 \
5 --decay 5e-4 \
6 --datasetname shanghaitech \
7 --epochs 33 > logs/ccnn_v1_t1.log &
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