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full_eval_log.txt
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[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 54715
[EPOCH 139] Trainingset Evaluating: PSNR 25.861671447753906
[EPOCH 139] Testingset Evaluating: PSNR 25.475725173950195
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 40233
[EPOCH 139] Trainingset Evaluating: PSNR 24.048398971557617
[EPOCH 139] Testingset Evaluating: PSNR 22.0155086517334
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 143314
[EPOCH 139] Trainingset Evaluating: PSNR 29.78281021118164
[EPOCH 139] Testingset Evaluating: PSNR 27.535614013671875
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 31508
[EPOCH 139] Trainingset Evaluating: PSNR 29.458288192749023
[EPOCH 139] Testingset Evaluating: PSNR 27.08157730102539
[EPOCH 199] Trainingset Evaluating: PSNR 30.826940536499023
[EPOCH 199] Testingset Evaluating: PSNR 27.230670928955078
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 53541
[EPOCH 139] Trainingset Evaluating: PSNR 23.92637062072754
[EPOCH 139] Testingset Evaluating: PSNR 22.873497009277344
[EPOCH 199] Trainingset Evaluating: PSNR 24.641389846801758
[EPOCH 199] Testingset Evaluating: PSNR 22.760684967041016
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 130351
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 155849
[EPOCH 139] Trainingset Evaluating: PSNR 30.67723274230957
[EPOCH 139] Testingset Evaluating: PSNR 29.302780151367188
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 235875
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 207876
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 54715
Scene:./output/bicycle training set
SSIM : 0.8381416
PSNR : 26.1593628
LPIPS: 0.1863681
Scene:./output/bicycle testing set
SSIM : 0.7652303
PSNR : 25.5023766
LPIPS: 0.2185309
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 40233
Scene:./output/flowers training set
SSIM : 0.7516214
PSNR : 24.3862000
LPIPS: 0.2409155
Scene:./output/flowers testing set
SSIM : 0.6125519
PSNR : 22.0785160
LPIPS: 0.3345205
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 143314
Scene:./output/garden training set
SSIM : 0.9053209
PSNR : 30.0649052
LPIPS: 0.0899342
Scene:./output/garden testing set
SSIM : 0.8580706
PSNR : 27.6184521
LPIPS: 0.1125432
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 31508
Scene:./output/stump training set
SSIM : 0.9073925
PSNR : 31.3574657
LPIPS: 0.1507716
Scene:./output/stump testing set
SSIM : 0.7871429
PSNR : 27.1732502
LPIPS: 0.2176335
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 53541
Scene:./output/treehill training set
SSIM : 0.7971716
PSNR : 24.8632107
LPIPS: 0.2314804
Scene:./output/treehill testing set
SSIM : 0.6388101
PSNR : 22.7076626
LPIPS: 0.3176867
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 130351
Scene:./output/room training set
SSIM : 0.9352654
PSNR : 34.9225578
LPIPS: 0.1705905
Scene:./output/room testing set
SSIM : 0.9187477
PSNR : 32.0278778
LPIPS: 0.1869500
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 155849
Scene:./output/counter training set
SSIM : 0.9218459
PSNR : 30.6893501
LPIPS: 0.1621657
Scene:./output/counter testing set
SSIM : 0.9065732
PSNR : 29.3009205
LPIPS: 0.1790452
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 235875
Scene:./output/kitchen training set
SSIM : 0.9359462
PSNR : 33.7816925
LPIPS: 0.1005960
Scene:./output/kitchen testing set
SSIM : 0.9208100
PSNR : 32.1613808
LPIPS: 0.1131379
[ INFO ] Encountered quite large input images (>1.6K pixels width), rescaling to 1.6K.
If this is not desired, please explicitly specify '--resolution/-r' as 1
Number of points at initialisation : 207876
Scene:./output/bonsai training set
SSIM : 0.9463646
PSNR : 34.3254089
LPIPS: 0.1620689
Scene:./output/bonsai testing set
SSIM : 0.9397511
PSNR : 33.0730858
LPIPS: 0.1673012