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)
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
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
Commit 57563fc07f656c63f807de4d80712ff11345109d - ccnn no padding at output layer
Author: Thai Thien
Author date (UTC): 2020-03-04 17:36
Committer name: Thai Thien
Committer date (UTC): 2020-03-04 17:36
Parent(s): f4439d9a78273ab3ba450f31a528509816b4352f
Signer:
Signing key:
Signing status: N
Tree: 809c85b7eddad9f0c6888cc3a27588316c40727a
File Lines added Lines deleted
models/compact_cnn.py 2 2
File models/compact_cnn.py changed (mode: 100644) (index 2266cd8..465ef6a)
... ... class CompactCNN(nn.Module):
15 15 self.red_cnn = nn.Conv2d(3, 10, 9, padding=4) self.red_cnn = nn.Conv2d(3, 10, 9, padding=4)
16 16 self.green_cnn = nn.Conv2d(3, 14, 7, padding=3) self.green_cnn = nn.Conv2d(3, 14, 7, padding=3)
17 17 self.blue_cnn = nn.Conv2d(3, 16, 5, padding=2) self.blue_cnn = nn.Conv2d(3, 16, 5, padding=2)
18 self.max_pooling = nn.MaxPool2d(2, stride=2)
18 self.max_pooling = nn.MaxPool2d(kernel_size=2, stride=2)
19 19
20 20 self.c1 = nn.Conv2d(40, 60, 3, padding=1) self.c1 = nn.Conv2d(40, 60, 3, padding=1)
21 21 self.c2 = nn.Conv2d(60, 40, 3, padding=1) self.c2 = nn.Conv2d(60, 40, 3, padding=1)
22 22 self.c3 = nn.Conv2d(40, 20, 3, padding=1) self.c3 = nn.Conv2d(40, 20, 3, padding=1)
23 23 self.c4 = nn.Conv2d(20, 10, 3, padding=1) self.c4 = nn.Conv2d(20, 10, 3, padding=1)
24 self.output = nn.Conv2d(10, 1, 1, padding=1)
24 self.output = nn.Conv2d(10, 1, 1)
25 25
26 26 def forward(self,x): def forward(self,x):
27 27 x_red = self.max_pooling(F.relu(self.red_cnn(x), inplace=True)) x_red = self.max_pooling(F.relu(self.red_cnn(x), inplace=True))
Hints:
Before first commit, do not forget to setup your git environment:
git config --global user.name "your_name_here"
git config --global user.email "your@email_here"

Clone this repository using HTTP(S):
git clone https://rocketgit.com/user/hahattpro/crowd_counting_framework

Clone this repository using ssh (do not forget to upload a key first):
git clone ssh://rocketgit@ssh.rocketgit.com/user/hahattpro/crowd_counting_framework

Clone this repository using git:
git clone git://git.rocketgit.com/user/hahattpro/crowd_counting_framework

You are allowed to anonymously push to this repository.
This means that your pushed commits will automatically be transformed into a merge request:
... clone the repository ...
... make some changes and some commits ...
git push origin main