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)
wip: pacnn 2192d7c7b449fecf3868877d9cfbc09bb6f7ae98 Thai Thien 2019-09-22 03:44:56
wip: pacnn 37620e5a9bc0f9516ea964ec58d9bdaa1c40ff36 Thai Thien 2019-09-22 03:14:42
fix training flow 2b87b1b26c7296b64493fdc49fedb421b249dfa3 Thai Thien 2019-09-17 18:00:35
dataset script bc5c052f5f956510ab95ef9a45434fd486c57fae Thai Thien 2019-09-16 17:21:13
evaluator ffc5bf8290ae0c469a9a18a2d061cfd1bfeee822 Thai Thien 2019-09-14 04:56:35
some more test for data loader 25173578cde7d4e9fe6c6140d1ee01caa4fcfc32 Thai Thien 2019-09-14 02:51:58
some visualize to debug data loader e4f52007616acf307bddbde79c0fb4f8c649c785 Thai Thien 2019-09-13 17:35:45
wip d7d44cad6774355bdfa45414258763f6c6a0c299 Thai Thien 2019-08-31 16:58:16
commit all 6dad7a58f7dbf9fc288ce9dd3e92be538851c2a7 Thai Thien 2019-08-29 19:10:44
input d1,d2,d3 match fc2a809241f8b6356d964c63d40cbebd55ca5f6c Thai Thien 2019-08-28 17:57:05
WIP 39eab26d061e61dfffbf164dbd5fd878299b7250 thient 2019-08-28 11:09:12
output of de is ok dd770386674df3e0fbebafdfc48a9352bc28967d thient 2019-08-28 10:54:09
code pacnn c49537b5cc91e96e4e35c9338d2c95b9bb41c672 Thai Thien 2019-08-27 16:35:27
crowd counting stuff da9f27a39cba9bdd021b6b5c562f5f7c2be50190 Thai Thien 2019-08-24 18:27:44
seem ok 53fa176c31669a0e89b04adf290cb398f0316c45 Thai Thien 2019-08-24 18:26:31
flow ok ad849681000818dfbcd0c1715c2858aed7236041 Thai Thien 2019-08-24 17:00:02
wip 23c3ec48497782bbc91d829e1c8a682502360ab9 Thai Thien 2019-08-24 14:19:22
work in progress, try to use https://pytorch.org/ignite/quickstart.html 39c824fe8fc2501628ee42c236a844df45521007 Thai Thien 2019-08-24 07:41:46
Work in progress 984be31d85e5cbdb2af296ccdb128381fe9bf09e Thai Thien 2019-08-24 05:30:51
README 045706df1fa3452d150a190675c60e80ebd18e08 Thai Thien 2019-08-24 04:11:49
Commit 2192d7c7b449fecf3868877d9cfbc09bb6f7ae98 - wip: pacnn
Author: Thai Thien
Author date (UTC): 2019-09-22 03:44
Committer name: Thai Thien
Committer date (UTC): 2019-09-22 03:44
Parent(s): 37620e5a9bc0f9516ea964ec58d9bdaa1c40ff36
Signing key:
Tree: bfc7de25b68cdf941598f488d4d21a62e3dcb1f5
File Lines added Lines deleted
models/pacnn.py 5 3
File models/pacnn.py changed (mode: 100644) (index a16141c..6ccb98e)
... ... class PACNNWithPerspectiveMap(nn.Module):
58 58 # deconvolution upsampling # deconvolution upsampling
59 59 self.up12 = nn.ConvTranspose2d(512, 1, 2, 2) self.up12 = nn.ConvTranspose2d(512, 1, 2, 2)
60 60 self.up23 = nn.ConvTranspose2d(512, 1, 2, 2) self.up23 = nn.ConvTranspose2d(512, 1, 2, 2)
61 self.up_perspective = nn.ConvTranspose2d(512, 1, 2, 2)
61 62
62 63 # if true, use perspective aware # if true, use perspective aware
63 64 # if false, use average # if false, use average
 
... ... class PACNNWithPerspectiveMap(nn.Module):
68 69 de2 = self.de2_11((self.de2net(x))) de2 = self.de2_11((self.de2net(x)))
69 70 de3 = self.de3_11((self.de3net(x))) de3 = self.de3_11((self.de3net(x)))
70 71 if self.perspective_aware_mode: if self.perspective_aware_mode:
71 respective = self.perspective_11(self.perspective_net)
72 pespective_w_s = self.perspective_11(self.perspective_net(x))
73 pespective_w = self.up_perspective(pespective_w_s)
72 74 # TODO: code more here # TODO: code more here
75 de23 = pespective_w_s * de2 + (1 - pespective_w_s)*(de2 + self.up23(de3))
76 de = pespective_w * de1 + (1 - pespective_w)*(de2 + self.up12(de23))
73 77 else: else:
74 78 de23 = (de2 + self.up23(de3))/2 de23 = (de2 + self.up23(de3))/2
75 79 de = (de1 + self.up12(de23))/2 de = (de1 + self.up12(de23))/2
 
... ... def parameter_count_test():
91 95 sum_of_part = backbone + de1_11 + de2_11 + de3_11 + conv611 sum_of_part = backbone + de1_11 + de2_11 + de3_11 + conv611
92 96 print(sum_of_part) print(sum_of_part)
93 97
94
95
96 98 if __name__ == "__main__": if __name__ == "__main__":
97 99 parameter_count_test() parameter_count_test()
98 100 # net = PACNN() # net = PACNN()
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