Embed video demos for RF-DETR Base and DINOv3

Threshold-sweep and patch-similarity anchor-sweep MP4s, both rendered
from real FP16/INT8 TensorRT engines on Jetson devices.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

config.json

@@ -314,7 +314,18 @@
         "agx_orin": "Measurement setup: trtexec, --builderOptimizationLevel=5, profile flags --useCudaGraph --useSpinWait --noDataTransfers --warmUp=2000 --duration=10; GPU compute time only; Jetson clocks locked (nvpmodel -m 0 + jetson_clocks). Embedl INT8 (--fp16 --int8, calibrated Q/DQ) vs FP16 baseline of the unmodified model."
       },
       "accuracy_file": "data/acc-DINOv3-ViT-B16.csv",
-      "accuracy_title": "imagenette k-NN top-1 (%)"
+      "accuracy_title": "imagenette k-NN top-1 (%)",
+      "demo": {
+        "title": "FP16 vs INT8 Feature Quality",
+        "clips": [
+          {
+            "video": "https://huggingface.co/datasets/embedl/documentation-images/resolve/main/dinov3-quantized-tensorrt/anchor_sweep_dog.mp4",
+            "label": "Patch Similarity Anchor Sweep",
+            "inference_setup": "224×224 · batch 1 · Jetson AGX Orin",
+            "citation": "Cosine similarity of every patch to a moving anchor, computed from TensorRT FP16 and Embedl INT8 engine features side by side. Real engine outputs captured on an NVIDIA Jetson AGX Orin."
+          }
+        ]
+      }
     },
     "SAM3": {
       "data_file": "data/SAM3.csv",
@@ -442,7 +453,18 @@
       },
       "default_device": "orin_nano_super",
       "accuracy_file": "data/acc-RF-DETR-Base.csv",
-      "accuracy_title": "COCO"
+      "accuracy_title": "COCO",
+      "demo": {
+        "title": "FP16 vs INT8, Real Engine Outputs",
+        "clips": [
+          {
+            "video": "https://huggingface.co/datasets/embedl/documentation-images/resolve/main/rf-detr-base-quantized-tensorrt/threshold_sweep_street.mp4",
+            "label": "Confidence Threshold Sweep",
+            "inference_setup": "560×560 · batch 1 · Jetson Orin Nano Super",
+            "citation": "Side-by-side detections from the TensorRT FP16 baseline (left) and the Embedl INT8 engine (right) as the confidence threshold sweeps 0.80 → 0.30. Both panels are real engine outputs captured on an NVIDIA Jetson Orin Nano Super."
+          }
+        ]
+      }
     }
   },
   "accuracy_title": "Accuracy"