copy results/results_summary.json

results/results_summary.json

@@ -0,0 +1,99 @@
+{
+  "harness": "LotusGPipeline single-step, processing_res=768, match_input_res; NYU Eigen crop cap10m; KITTI Garg cap80m; LS scale-shift align; validated by DAv2 reproducing published NYU AbsRel ~0.055",
+  "nyu_654_eigen_test": {
+    "lotus_zeroshot": {
+      "absrel": 0.133,
+      "sqrel": 0.159,
+      "rmse": 0.671,
+      "rmselog": 0.168,
+      "log10": 0.056,
+      "d1": 0.832,
+      "d2": 0.961,
+      "d3": 0.989
+    },
+    "ours_game_zeroshot": {
+      "absrel": 0.149,
+      "sqrel": 0.192,
+      "rmse": 0.748,
+      "rmselog": 0.188,
+      "log10": 0.062,
+      "d1": 0.802,
+      "d2": 0.952,
+      "d3": 0.987
+    },
+    "lotus_ft24k": {
+      "absrel": 0.141,
+      "sqrel": 0.147,
+      "rmse": 0.544,
+      "rmselog": 0.185,
+      "log10": 0.057,
+      "d1": 0.834,
+      "d2": 0.951,
+      "d3": 0.981
+    },
+    "ours_game_ft24k_best": {
+      "absrel": 0.121,
+      "sqrel": 0.124,
+      "rmse": 0.5,
+      "rmselog": 0.164,
+      "log10": 0.049,
+      "d1": 0.868,
+      "d2": 0.96,
+      "d3": 0.985
+    },
+    "ours_game_ft24k_trajectory_absrel": {
+      "c750": 0.125,
+      "c1500": 0.135,
+      "c2250": 0.121,
+      "c3000": 0.121
+    }
+  },
+  "kitti_1000_val_selection_cropped_cap80": {
+    "lotus_zeroshot": {
+      "absrel": 0.235,
+      "sqrel": 3.442,
+      "rmse": 10.19,
+      "rmselog": 0.291,
+      "log10": 0.096,
+      "d1": 0.605,
+      "d2": 0.908,
+      "d3": 0.964,
+      "boundary_f1": 0.576
+    },
+    "ours_game_zeroshot": {
+      "absrel": 0.201,
+      "sqrel": 2.778,
+      "rmse": 8.9,
+      "rmselog": 0.255,
+      "log10": 0.081,
+      "d1": 0.707,
+      "d2": 0.931,
+      "d3": 0.974,
+      "boundary_f1": 0.647
+    }
+  },
+  "fid_dinov2_centercrop": {
+    "game_vs_nyu": 0.98,
+    "game_vs_kitti": 1.32,
+    "nyu_vs_kitti": 1.33
+  },
+  "pending": "Lotus NYU-FT learning-rate robustness sweep (LR 1e-5, best-of checkpoints)",
+  "ground_plane_rho_per_image": {
+    "method": "Spearman rho(row,distance) per image, 4000px/img subsample",
+    "median": {
+      "game": -0.79,
+      "nyu": -0.56,
+      "kitti": -0.82
+    },
+    "mean": {
+      "game": -0.68,
+      "nyu": -0.51,
+      "kitti": -0.79
+    },
+    "n": {
+      "game": 968,
+      "nyu": 1000,
+      "kitti": 1000
+    }
+  }
+}