stuff

detect_scene.py

@@ -7,7 +7,7 @@ import re
 
 SCENE_CUT_THRESHOLD = 0.09
 data_dir = Path("data/animations")
-files = sorted(data_dir.glob("sample-000.webp"))
+files = sorted(data_dir.glob("sample-00*.webp"))
     
 def get_best_device():
     if torch.cuda.is_available():
@@ -18,6 +18,19 @@ def get_best_device():
     else:
         return torch.device("cpu")
 
+def load_original_frames(filepath):
+    """Load original frames from an animated webp file as PIL Images."""
+    from PIL import Image
+    im = Image.open(filepath)
+    frames = []
+    try:
+        while True:
+            frames.append(im.convert("RGB"))
+            im.seek(im.tell() + 1)
+    except EOFError:
+        pass
+    return frames
+
 def save_prediction_plot(single_frame_pred, original_frames, filename, interval=5, title=None):
     """
     Save a plot of single frame predictions with thumbnails annotated at regular intervals.
@@ -43,19 +56,6 @@ def save_prediction_plot(single_frame_pred, original_frames, filename, interval=
     plt.savefig(filename)
     plt.close()
 
-def load_original_frames(filepath):
-    """Load original frames from an animated webp file as PIL Images."""
-    from PIL import Image
-    im = Image.open(filepath)
-    frames = []
-    try:
-        while True:
-            frames.append(im.convert("RGB"))
-            im.seek(im.tell() + 1)
-    except EOFError:
-        pass
-    return frames
-
 def save_timeline_jpg(frames, scene_change_indices, filename, interval=5, roi_radius=2, title=None, single_frame_pred=None):
     """
     Save a timeline JPG with thumbnails every `interval` frames and every frame near scene changes.
@@ -102,9 +102,9 @@ def save_timeline_jpg(frames, scene_change_indices, filename, interval=5, roi_ra
         imagebox = OffsetImage(np.array(thumb), zoom=0.7)
         # Determine border color
         if fidx in last_frames:
-            bboxprops = dict(edgecolor='red', linewidth=2, boxstyle='round,pad=0.2')
+            bboxprops = dict(edgecolor='red', linewidth=2)
         elif fidx in first_frames:
-            bboxprops = dict(edgecolor='green', linewidth=2, boxstyle='round,pad=0.2')
+            bboxprops = dict(edgecolor='green', linewidth=2)
         else:
             bboxprops = None
         ab = AnnotationBbox(
@@ -186,7 +186,7 @@ if __name__ == "__main__":
             frames=original_frames,
             scene_change_indices=result["scene_change_indices"],
             filename=timeline_filename,
-            interval=5,
+            interval=10,
             roi_radius=2,
             title=f"Timeline: {file.name}",
             single_frame_pred=result["single_frame_pred"]