Add video eval

evaluation/videos/eval.py

@@ -0,0 +1,59 @@
+import argparse
+import json
+from pathlib import Path
+import sys
+
+def point_in_box(px, py, x_min, y_min, x_max, y_max):
+    return (x_min <= px < x_max) and (y_min <= py < y_max)
+
+def main():
+
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--predictions", type=str, required=True, help="Path to json file with predictions for each video"
+    )
+
+    args = parser.parse_args()
+
+    try:
+        with open("videos_gt.json", 'r', encoding='utf-8') as f:
+            videos_gt = json.load(f)
+
+        with open(args.predictions, 'r', encoding='utf-8') as f:
+            preds = json.load(f)
+    except FileNotFoundError as e:
+        print(f"File not found: {e.filename}")
+        sys.exit(1)
+
+    except json.JSONDecodeError as e:
+        print(f"Invalid JSON in file: {e}")
+        sys.exit(1)
+
+    except Exception as e:
+        print(f"Unexpected error: {e}")
+        sys.exit(1)
+
+    total = 0
+    hits = 0
+
+    for video, annots in preds.items():
+        if videos_gt.get(video, None) is None:
+            print(f'{video} not present in GT')
+            continue
+
+        for frame, point in annots.items():  #point: (x,y)
+            if videos_gt[video].get(frame, None) is None:
+                print(f'Frame {frame} in {video} not present in GT')
+                continue
+            total+=1
+            GT_box = videos_gt[video].get(frame)
+            if point_in_box(*point, *GT_box):
+                hits+=1
+
+    print(f"Total: {total}, hits: {hits}")
+    print(f'Pointwise-Acc: {hits/total:.3f}')
+
+if __name__ == "__main__":
+    main()
+