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)
test if ShanghaiTech datapath is correct 97ee84944a4393ec3732879b24f614826f8e7798 Thai Thien 2020-02-01 03:57:31
refactor and test ShanghaiTech datapath 9542ebc00f257edc38690180b7a4353794be4019 Thai Thien 2020-02-01 03:53:49
fix the unzip flow b53c5989935335377eb6a88c942713d3eccc5df7 Thai Thien 2020-02-01 03:53:13
data_script run seem ok 67420c08fc1c10a66404d3698994865726a106cd Thai Thien 2020-02-01 03:33:18
add perspective 642d6fff8c9f31e510fda85a7fb631fb855d8a6d Thai Thien 2019-10-06 16:54:44
fix padding with p 86c2fa07822d956a34b3b37e14da485a4249f01b Thai Thien 2019-10-06 02:52:58
pacnn perspective loss fb673e38a5f24ae9004fe2b7b93c88991e0c2304 Thai Thien 2019-10-06 01:38:28
data_flow shanghaitech_pacnn_with_perspective seem working 91d350a06f358e03223966297d124daee94123d0 Thai Thien 2019-10-06 01:31:11
multiscale loss and final loss only mode c65dd0e74ad28503821e5c8651a3b47b4a0c7c64 Thai Thien 2019-10-05 15:58:19
wip : perspective map eac63f2671dc5b064753acc4f40bf0f9f216ad2a Thai Thien 2019-10-04 16:26:56
shell script f2106e700b6f6174d4dd276f25ec6f3d9ff239bb thient 2019-10-04 07:42:51
WIP 42c7c8e1d772fbbda61a4bdf9e329f74e1efb600 tthien 2019-10-03 17:52:47
add readme 580cf43d1edddd67b1f6a2c57fdd5cee3dba925c Thai Thien 2019-10-02 17:44:49
update script, debug ddb68b95389be1c1d398118677dd227a8bb2b70b Thai Thien 2019-10-02 15:52:31
add d (output density map) to loss function) a0c71bf4bf2ab7393d60b06a84db8dfbbfb1a6c2 tthien 2019-09-30 16:32:39
fix the args, add save interval for model, so we don't save them all 9fdf9daa2ac4bd12b7b62521d81e520db0debd01 tthien 2019-09-30 16:30:00
meow 1ad19a22a310992e27a26471feeb37375124d075 tthien 2019-09-29 18:25:43
fix pacnn perspective map 453ece3ccb818889ba895bfc4285f7905d33cba5 Thai Thien 2019-09-25 17:20:33
apex not work so well da8c0dd57297f972201f31d57e66897177922f48 Thai Thien 2019-09-24 17:25:59
fix data loader pacnn so it will scale up with correct number of people 11d55b50d764511f2491291f0208fee0905dec49 Thai Thien 2019-09-24 15:40:56
Commit 97ee84944a4393ec3732879b24f614826f8e7798 - test if ShanghaiTech datapath is correct
Author: Thai Thien
Author date (UTC): 2020-02-01 03:57
Committer name: Thai Thien
Committer date (UTC): 2020-02-01 03:57
Parent(s): 9542ebc00f257edc38690180b7a4353794be4019
Signing key:
Tree: cbf4a94e6eb7706ba1b9853b2f0912c14581702d
File Lines added Lines deleted
hard_code_variable.py 11 2
File hard_code_variable.py changed (mode: 100644) (index b212186..940fe25)
... ... if __name__ == "__main__":
40 40 image_folder_list = [train_path_a, train_path_b, test_path_a, test_path_b] image_folder_list = [train_path_a, train_path_b, test_path_a, test_path_b]
41 41 for image_root_path in image_folder_list: for image_root_path in image_folder_list:
42 42 image_path_list = glob.glob(os.path.join(image_root_path, "images", "*.jpg")) image_path_list = glob.glob(os.path.join(image_root_path, "images", "*.jpg"))
43 density_path_list = glob.glob(os.path.join(image_root_path, "ground-truth-h5", "*.h5"))
43 44 count_img = len(image_path_list) count_img = len(image_path_list)
45 count_density_map = len(density_path_list)
44 46 first_img = image_path_list[0] first_img = image_path_list[0]
47 first_density_map = density_path_list[0]
45 48 print("in folder " + image_root_path) print("in folder " + image_root_path)
46 print("--- there are total " + str(count_img))
47 print('--- first img ' + first_img)
49 print("--- total image" + str(count_img))
50 print('--- first img ' + first_img)
51 print("--- total density map " + str(count_density_map))
52 print("--- first density map " + str(first_density_map))
53 if count_img == count_density_map:
54 print("--- number of density map = number of image")
55 else:
56 print("xxxxx number of density map !!!!!= number of image")
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