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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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List of commits:

Subject	Hash	Author	Date (UTC)
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
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

Commit ffaf76a25ca6c15ed8d36a77c21bd6d9278ab690 - psnr abs 255
Author: Thai Thien
Author date (UTC): 2020-12-06 16:40
Committer name: Thai Thien
Committer date (UTC): 2020-12-06 16:40
Parent(s): d4e37756c87bb32afdd34ee368e0b5e826b9901f
Signer:
Signing key:
Signing status: N
Tree: b5ecc64530bd1f0f7562109ee0767a096606447a

File	Lines added	Lines deleted
crowd_counting_error_metrics.py	5	5

File crowd_counting_error_metrics.py changed (mode: 100644) (index 7d35ee3..e90567c)
...	...	class CrowdCountingMeanPSNRabs(Metric):
195	195	# self calculate	# self calculate
196	196	y = y/torch.max(y)*255	y = y/torch.max(y)*255
197	197	y_pred = y_pred / torch.max(y_pred) * 255	y_pred = y_pred / torch.max(y_pred) * 255
198		EPS = 1e-20
199		mse = torch.mean((y_pred - y) ** 2, dim=[2, 3])
200		score = - 10 * torch.log10(mse + EPS)
201		psnr_metric = score
202
	198		# EPS = 1e-20
	199		# mse = torch.mean((y_pred - y) ** 2, dim=[2, 3])
	200		# score = - 10 * torch.log10(mse + EPS)
	201		# psnr_metric = score
	202		psnr_metric = piq.psnr(y, y_pred, 255, "sum")
203	203	self._sum += psnr_metric.item()	self._sum += psnr_metric.item()
204	204	# we multiply because ssim calculate mean of each image in batch	# we multiply because ssim calculate mean of each image in batch
205	205	# we multiply so we will divide correctly	# we multiply so we will divide correctly

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