.

app.py

@@ -5,6 +5,7 @@ from wrapper import run_pipeline_on_image
 import numpy as np
 from PIL import Image
 from itertools import product
+import logging
 
 def process(image_path):
     if not image_path:
@@ -15,8 +16,26 @@ def process(image_path):
         ext = src.suffix.lstrip('.') or 'tif'
         img_path = Path(tmpdir) / f"input.{ext}"
         try:
+            try:
+                # Log original file stats
+                size_bytes = src.stat().st_size if src.exists() else 0
+                try:
+                    with Image.open(src) as im_src:
+                        frames = getattr(im_src, 'n_frames', 1)
+                        logging.info(f"Uploaded file: path={src}, size_bytes={size_bytes}, mode={im_src.mode}, size={im_src.size}, frames={frames}")
+                except Exception:
+                    logging.info(f"Uploaded file: path={src}, size_bytes={size_bytes} (PIL open failed)")
+            except Exception:
+                pass
             img_bytes = src.read_bytes()
             img_path.write_bytes(img_bytes)
+            # Log copied file as read by PIL
+            try:
+                with Image.open(img_path) as im_tmp:
+                    frames_tmp = getattr(im_tmp, 'n_frames', 1)
+                    logging.info(f"Temp input: path={img_path}, mode={im_tmp.mode}, size={im_tmp.size}, frames={frames_tmp}")
+            except Exception:
+                logging.info(f"Temp input: path={img_path} (PIL open failed)")
         except Exception:
             # Fallback: save via PIL if direct copy fails
             Image.open(src).save(img_path)