update dependency to Pillow 10.3.0, fixes #13

LICENSE

@@ -1,5 +1,5 @@
 The MIT License (MIT)
-Copyright © 2021 Patrick Levin
+Copyright © 2021,2024 Patrick Levin
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in

docs/example-explained.md

@@ -28,7 +28,7 @@ An initial attempt might look something like this:
 left_eye = detect_iris(image, left_eye_roi)
 # isolate the iris
 iris_location, iris_size = get_iris_position_and_size(left_eye, image)
-iris = image.transform(iris_size, Image.EXTENT, data=iris_location)
+iris = image.transform(iris_size, Transform.EXTENT, data=iris_location)
 # grayscale
 iris = iris.convert('L')
 # create mask

fdlite/__init__.py

@@ -13,4 +13,4 @@
 from .iris_landmark import iris_roi_from_face_landmarks           # noqa:F401
 
 
-__version__ = '0.5.0'
+__version__ = '0.6.0'

fdlite/transform.py

@@ -5,7 +5,7 @@
 from typing import List, Optional, Sequence, Tuple, Union
 import numpy as np
 from PIL import Image
-from PIL.Image import Image as PILImage
+from PIL.Image import Image as PILImage, Resampling, Transform, Transpose
 from fdlite import ArgumentError, CoordinateRangeError, InvalidEnumError
 from fdlite.types import BBox, Detection, ImageTensor, Landmark, Rect
 """Functions for data transformations that are used by the detection models"""
@@ -62,8 +62,8 @@ def image_to_tensor(
     src_points = roi.points()
     dst_points = [(0., 0.), (width, 0.), (width, height), (0., height)]
     coeffs = _perspective_transform_coeff(src_points, dst_points)
-    roi_image = img.transform(size=(width, height), method=Image.PERSPECTIVE,
-                              data=coeffs, resample=Image.LINEAR)
+    roi_image = img.transform(size=(width, height), method=Transform.PERSPECTIVE,
+                              data=coeffs, resample=Resampling.BILINEAR)
     # free some memory - we don't need the temporary image anymore
     if img != image:
         img.close()
@@ -82,11 +82,11 @@ def image_to_tensor(
         if new_width != int(roi.width) or new_height != int(roi.height):
             pad_h, pad_v = int(pad_x * new_width), int(pad_y * new_height)
             roi_image = roi_image.transform(
-                size=(new_width, new_height), method=Image.EXTENT,
+                size=(new_width, new_height), method=Transform.EXTENT,
                 data=(-pad_h, -pad_v, new_width - pad_h, new_height - pad_v))
-        roi_image = roi_image.resize(output_size, resample=Image.BILINEAR)
+        roi_image = roi_image.resize(output_size, resample=Resampling.BILINEAR)
     if flip_horizontal:
-        roi_image = roi_image.transpose(method=Image.FLIP_LEFT_RIGHT)
+        roi_image = roi_image.transpose(method=Transpose.FLIP_LEFT_RIGHT)
     # finally, apply value range transform
     min_val, max_val = output_range
     tensor_data = np.asarray(roi_image, dtype=np.float32)

setup.cfg

@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 [metadata]
 name = face-detection-tflite
-version = 0.5.1
+version = 0.6.0
 author = Patrick Levin
 author_email = [email protected]
 description = A Python port of Google MediaPipe Face Detection modules
@@ -26,11 +26,11 @@ classifiers =
 
 [options]
 packages = find:
-python_requires = >= 3.7
+python_requires = >= 3.8
 include_package_data = true
 install_requires =
     tensorflow>=2.3
-    Pillow==9.5.0
+    Pillow>=10.3.0
 
 [flake8]
 exclude =

setup.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 """
-Copyright © 2021 Patrick Levin
+Copyright © 2021,2024 Patrick Levin
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of
 this software and associated documentation files (the "Software"), to deal in