Use tifffile to read the image

pyproject.toml

@@ -61,6 +61,7 @@ qcodes = [
 ]
 image = [
     "moviepy",
+    "tifffile[all]"
 ]
 doc = [
     "sphinx",

qutil/image.py

@@ -3,12 +3,9 @@ import pathlib
 from typing import Optional, Union, Literal
 
 import numpy as np
-from PIL import Image, ImageSequence
+import tifffile
 from moviepy.editor import ImageSequenceClip
 
-from qutil.misc import filter_warnings
-from qutil.itertools import ignore_exceptions
-
 try:
     from numpy.typing import NDArray
 except ImportError:
@@ -17,15 +14,6 @@ except ImportError:
 _pathT = Union[str, os.PathLike]
 
 
-def read_tiff(path: _pathT) -> NDArray:
-    """Read a (multipage) .tif image and return it as an array."""
-    # Catch the following error for files generated by the Thorlabs Camera:
-    # OSError: Corrupt EXIF data.  Expecting to read 2 bytes but only got 0.
-    with Image.open(path) as im, filter_warnings('error', UserWarning):
-        frames = list(ignore_exceptions(ImageSequence.Iterator(im), UserWarning))
-    return np.array(frames)
-
-
 def convert_tiff(file: _pathT, fps: float, format: str = '.mp4', threads: Optional[int] = None,
                  out: Optional[_pathT] = None, logger: Optional[Literal['bar']] = None):
     """Converts a multipage .tif file to `format` and writes it to disk.
@@ -63,7 +51,11 @@ def convert_tiff(file: _pathT, fps: float, format: str = '.mp4', threads: Option
                          threads=os.cpu_count())
 
     """
-    file = pathlib.Path(file).with_suffix('.tif')
-    clip = ImageSequenceClip(read_tiff(file), fps=fps)
-    clip.write_videofile((out or file).with_suffix(format), fps, audio=False, threads=threads,
+    in_name = pathlib.Path(file).with_suffix('.tif')
+    out_name = (out or in_name).with_suffix(format)
+
+    data = tifffile.imread(str(in_name))
+    clip = ImageSequenceClip(list(data), fps=fps)
+
+    clip.write_videofile(out_name, fps, audio=False, threads=threads,
                          logger=logger)