Update model card

README.md

@@ -19,7 +19,37 @@ model-index:
         dataset:
           name: IndoorVG
           type: indoorvg
-        metrics: []
+        metrics:
+          - type: mR@20
+            value: 17.54
+            name: mR@20
+          - type: R@20
+            value: 23.1
+            name: R@20
+          - type: mR@50
+            value: 22.3
+            name: mR@50
+          - type: R@50
+            value: 30.27
+            name: R@50
+          - type: mR@100
+            value: 24.97
+            name: mR@100
+          - type: R@100
+            value: 35.1
+            name: R@100
+          - type: F1@20
+            value: 19.94
+            name: F1@20
+          - type: F1@50
+            value: 25.68
+            name: F1@50
+          - type: F1@100
+            value: 29.18
+            name: F1@100
+          - type: e2e_latency_ms
+            value: 19.1
+            name: e2e_latency_ms
 ---
 
 # REACT++ Scene Graph Generation — IndoorVG (yolov8m)
@@ -43,13 +73,13 @@ The models were trained with the
 
 ---
 
-## Results — SGDet on IndoorVG test split (ONNX, CUDA)
+## Results — SGDet on IndoorVG test split (CUDA, max_det=100, batch_size=1)
 
-> Metrics from end-to-end ONNX evaluation (`tools/eval_onnx_psg.py`). E2E Latency = image load + pre-process + ONNX forward.
+> Metrics from end-to-end evaluation (`tools/evaluate.py`). Latency = model forward only.
 
-| Backbone | Params | R@20 | R@50 | R@100 | mR@20 | mR@50 | mR@100 | F1@20 | F1@50 | F1@100 | E2E Lat. (ms) |
-|----------|:------:|-----:|-----:|------:|------:|------:|-------:|------:|------:|-------:|--------------:|
-| yolov8m | ~25.9M | - | - | - | - | - | - | - | - | - | - |
+| Backbone | R@20 | R@50 | R@100 | mR@20 | mR@50 | mR@100 | F1@20 | F1@50 | F1@100 | Lat. (ms) |
+|----------|-----:|-----:|------:|------:|------:|-------:|------:|------:|-------:|--------------:|
+| yolov8m | 23.1 | 30.27 | 35.1 | 17.54 | 22.3 | 24.97 | 19.94 | 25.68 | 29.18 | 19.1 |
 
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