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)
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
fix measure ssim psnr 88bb9b78e8ae45199074aa1076b15c73f13e6cb6 Thai Thien 2020-12-06 15:30:58
print y and y_pred shape 90ab90465dabc4bd1171f4500eb01c45cca97420 Thai Thien 2020-12-06 15:23:09
ccnn baseline f02c3084f28f811879e36e9a309993d468535dc3 Thai Thien 2020-12-06 15:08:11
ccnn shb and sha d1d4152ada2c5dfc18c65299f32cb12935b90fe4 Thai Thien 2020-12-06 14:46:36
sha 3196ece275027e4d032a0bddb84ce310c15f2380 Thai Thien 2020-12-06 13:46:28
abs clamp 524c6f7196908527367ddcbfc340107e4092cc6e Thai Thien 2020-12-06 11:16:12
Commit d4e37756c87bb32afdd34ee368e0b5e826b9901f - normalize 255
Author: Thai Thien
Author date (UTC): 2020-12-06 16:38
Committer name: Thai Thien
Committer date (UTC): 2020-12-06 16:38
Parent(s): 2d66ee480bf65be75533e6ee1d8e0c30f781d4c8
Signer:
Signing key:
Signing status: N
Tree: d9f68f18b13b93c2562e019366a960624309a775
File Lines added Lines deleted
crowd_counting_error_metrics.py 6 4
File crowd_counting_error_metrics.py changed (mode: 100644) (index 17fc443..7d35ee3)
... ... class CrowdCountingMeanPSNRclamp(Metric):
279 279 pad_density_map_tensor[:, 0, :y_pred.shape[2], :y_pred.shape[3]] = y_pred pad_density_map_tensor[:, 0, :y_pred.shape[2], :y_pred.shape[3]] = y_pred
280 280 y_pred = pad_density_map_tensor y_pred = pad_density_map_tensor
281 281
282 y_max = torch.max(y)
283 y_pred_max = torch.max(y_pred)
284 max_value = torch.max(y_max, y_pred_max)
285 psnr_metric = piq.psnr(y, y_pred, reduction="sum", data_range=max_value.item())
282 y = y / torch.max(y) * 255
283 y_pred = y_pred / torch.max(y_pred) * 255
284 # y_max = torch.max(y)
285 # y_pred_max = torch.max(y_pred)
286 # max_value = torch.max(y_max, y_pred_max)
287 psnr_metric = piq.psnr(y, y_pred, reduction="sum", data_range=255)
286 288
287 289 self._sum += psnr_metric.item() self._sum += psnr_metric.item()
288 290 # we multiply because ssim calculate mean of each image in batch # we multiply because ssim calculate mean of each image in batch
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