thumbnails

detect_scene.py

@@ -92,10 +92,32 @@ for file in files:
     match = re.search(r"sample-(\d+)", file.name)
     sample_num = match.group(1) if match else "unknown"
     plot_filename = file.parent / f"sample-{sample_num}.plot.jpg"
-    # Plot single_frame_pred
+
+    # Load original frames for thumbnails
+    from PIL import Image
+    im = Image.open(file)
+    original_frames = []
+    try:
+        while True:
+            original_frames.append(im.convert("RGB"))
+            im.seek(im.tell() + 1)
+    except EOFError:
+        pass
+
+    import matplotlib.pyplot as plt
+    from matplotlib.offsetbox import OffsetImage, AnnotationBbox
+
     plt.figure(figsize=(12, 4))
     plt.title(f"Single Frame Predictions: {file.name}")
     plt.plot(result["single_frame_pred"])
+    ax = plt.gca()
+    # Add thumbnails at regular intervals (e.g., every 20 frames)
+    interval = 5
+    for idx in range(0, len(original_frames), interval):
+        thumb = original_frames[idx].resize((64, 64))
+        imagebox = OffsetImage(np.array(thumb), zoom=0.5)
+        ab = AnnotationBbox(imagebox, (idx, result["single_frame_pred"][idx]), frameon=False, box_alignment=(0.5, -0.1))
+        ax.add_artist(ab)
     plt.xlabel("Frame")
     plt.ylabel("Prediction")
     plt.tight_layout()