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rord-val-lama-refine/eval_result.log

@@ -0,0 +1,35 @@
+/data/zhouqm-20251002/miniconda3/envs/hypir/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
+  warnings.warn(
+/data/zhouqm-20251002/miniconda3/envs/hypir/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
+  warnings.warn(msg)
+Loading LPIPS model on cuda...
+Found 343 images in /data/zhouqm-20251002/comparisons/lama/rord-val-refine/images
+Start evaluation...
+
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+
+=== Summary ===
+Total Scanned: 343
+Matched & Evaluated: 343
+Missing GT/Mask: 0
+
+========================================
+Evaluation Results
+========================================
+Metric          | Value     
+------------------------------
+PSNR            | 35.453
+SSIM            | 0.8519
+LPIPS           | 0.1396
+------------------------------
+PSNR (Hole)     | 29.062
+SSIM (Hole)     | 0.4635
+PSNR (BG)       | 45.173
+========================================
+
+Result:(PSNR, SSIM, LPIPS, PSNR_Hole, SSIM_Hole, PSNR_BG)
+35.453
+0.8519
+0.1396
+29.062
+0.4635
+45.173