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)
load_data_shanghaitech_non_overlap_test_with_densitygt dont need mat 9bd1f7ce4931f3a172d8bb2858f74993eb8fd634 Thai Thien 2020-12-09 10:07:42
eval_adamw1_bigtail13i_t1_bike e587492003ee8cc117eb4c41a2f66958e228ed70 Thai Thien 2020-12-09 10:04:39
. f7f3c06081bcc2a46f438f58ca3302db047df7fb Thai Thien 2020-12-08 18:45:38
normal both ssim and psnr 8c3dce50a264bea46fae09ec9390ebaa188134ed Thai Thien 2020-12-06 16:46:35
forgot the abs da4b718d0e4c4e826fec189297807b478fa05bfc Thai Thien 2020-12-06 16:41:51
psnr abs 255 ffaf76a25ca6c15ed8d36a77c21bd6d9278ab690 Thai Thien 2020-12-06 16:40:51
normalize 255 d4e37756c87bb32afdd34ee368e0b5e826b9901f Thai Thien 2020-12-06 16:38:02
normalize y and y_pred 2d66ee480bf65be75533e6ee1d8e0c30f781d4c8 Thai Thien 2020-12-06 16:34:44
x b887624be4145f94800867033574b65e597de963 Thai Thien 2020-12-06 16:32:49
no more abs and stuff 2c670747b22280596bd10aa37508405e7b94f05c Thai Thien 2020-12-06 16:31:58
self calculate psnr 384da4f7f346e1e984aa4cd7698cc3627c374dba Thai Thien 2020-12-06 16:27:42
let max value is y_max eef482d4f6b13eb78db9f4b32a6fd72501b0aeaf Thai Thien 2020-12-06 16:18:59
now we add data range as max value cc50e0216660bd609bb562085a1c3011cadc8935 Thai Thien 2020-12-06 16:10:27
add max value c6788b7e84722619775990f1bf9c57493768c309 Thai Thien 2020-12-06 16:06:10
try to rig ssim to mae to see how it work 0881597408f3531982df43a1503a193c4874bcfa Thai Thien 2020-12-06 16:02:02
try remove padding 0f1f913d8f99210f2f53309ac44c71ed9baf0b76 Thai Thien 2020-12-06 15:46:46
a 147a73727888e4bbcd3584fb32ae60a62b43b77a Thai Thien 2020-12-06 15:41:18
reduction = sum caaf7ea2f013097c2d0275a3c49bffb6ae7e4b69 Thai Thien 2020-12-06 15:40:13
cuda() and we fix 41f49e7aa28595cb6438519dddb5e17434a44d3e Thai Thien 2020-12-06 15:34:53
minor fix 138 6178f63cb061ec7086a1748a8e9d4f4a03ea96e5 Thai Thien 2020-12-06 15:33:08
Commit 9bd1f7ce4931f3a172d8bb2858f74993eb8fd634 - load_data_shanghaitech_non_overlap_test_with_densitygt dont need mat
load_data_shanghaitech_non_overlap_test_with_densitygt
Author: Thai Thien
Author date (UTC): 2020-12-09 10:07
Committer name: Thai Thien
Committer date (UTC): 2020-12-09 10:07
Parent(s): e587492003ee8cc117eb4c41a2f66958e228ed70
Signer:
Signing key:
Signing status: N
Tree: 4365d2c036abd86ca714bb0b71fd52db852041cb
File Lines added Lines deleted
data_flow.py 0 4
File data_flow.py changed (mode: 100644) (index 74ec54c..9644c36)
... ... def load_data_shanghaitech_non_overlap_test_with_densitygt(img_path, train=True,
651 651 return crop_img, crop_label return crop_img, crop_label
652 652
653 653 if not train: if not train:
654 # get correct people head count from head annotation
655 mat_path = img_path.replace('.jpg', '.mat').replace('images', 'ground-truth').replace('IMG', 'GT_IMG')
656 gt_count = count_gt_annotation_sha(mat_path)
657
658 654 gt_file = h5py.File(gt_path, 'r') gt_file = h5py.File(gt_path, 'r')
659 655 target = np.asarray(gt_file['density']) target = np.asarray(gt_file['density'])
660 656 # target1 = cv2.resize(target, # target1 = cv2.resize(target,
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