targetran - npm Package Compare versions

Comparing version 0.13.1 to 0.13.2

PKG-INFO

@@ -1,8 +0,8 @@
-Metadata-Version: 2.1
+Metadata-Version: 2.2
 Name: targetran
-Version: 0.13.1
+Version: 0.13.2
 Summary: Target transformation for data augmentation in objection detection
 Home-page: https://github.com/bhky/targetran
 Author: attr: targetran.__author__
-Author-email: [e-mail]
+Author-email: [e-mail]
 Classifier: Programming Language :: Python :: 3
@@ -89,4 +89,3 @@ Classifier: License :: OSI Approved :: MIT License
 
-- `NDFloatArray`: NumPy float array type, which is an alias to `np.typing.NDArray[np.float_]`. 
-  The values are converted to `np.float32` internally.
+- `NDFloatArray`: NumPy float array type. The values are converted to `np.float32` internally.
 - `tf.Tensor`: General TensorFlow Tensor type. The values are converted to `tf.float32` internally.
@@ -93,0 +92,0 @@

README.md

@@ -73,4 +73,3 @@ ![logo](logo/targetran_logo.png)
 
-- `NDFloatArray`: NumPy float array type, which is an alias to `np.typing.NDArray[np.float_]`. 
-  The values are converted to `np.float32` internally.
+- `NDFloatArray`: NumPy float array type. The values are converted to `np.float32` internally.
 - `tf.Tensor`: General TensorFlow Tensor type. The values are converted to `tf.float32` internally.
@@ -77,0 +76,0 @@

setup.cfg

@@ -5,3 +5,3 @@ [metadata]
 author = attr: targetran.__author__
-author_email = [e-mail]
+author_email = [e-mail]
 description = Target transformation for data augmentation in objection detection
@@ -8,0 +8,0 @@ long_description = file: README.md

targetran.egg-info/PKG-INFO

@@ -1,8 +0,8 @@
-Metadata-Version: 2.1
+Metadata-Version: 2.2
 Name: targetran
-Version: 0.13.1
+Version: 0.13.2
 Summary: Target transformation for data augmentation in objection detection
 Home-page: https://github.com/bhky/targetran
 Author: attr: targetran.__author__
-Author-email: [e-mail]
+Author-email: [e-mail]
 Classifier: Programming Language :: Python :: 3
@@ -89,4 +89,3 @@ Classifier: License :: OSI Approved :: MIT License
 
-- `NDFloatArray`: NumPy float array type, which is an alias to `np.typing.NDArray[np.float_]`. 
-  The values are converted to `np.float32` internally.
+- `NDFloatArray`: NumPy float array type. The values are converted to `np.float32` internally.
 - `tf.Tensor`: General TensorFlow Tensor type. The values are converted to `tf.float32` internally.
@@ -93,0 +92,0 @@

targetran/__init__.py

@@ -1,3 +0,3 @@
-__version__ = "0.13.1"
+__version__ = "0.13.2"
 __author__ = "Bosco Yung"
 __license__ = "MIT"

targetran/_np_functional.py

@@ -71,3 +71,4 @@ """
     """
-    resized_image: NDAnyArray = cv2.resize(  # pylint: disable=no-member
+    # pylint: disable=no-member
+    resized_image: NDFloatArray = cv2.resize(
         image,
@@ -77,2 +78,3 @@ dsize=(dest_size[1], dest_size[0]),
     )
+    # pylint: enable=no-member
     return resized_image
@@ -79,0 +81,0 @@

targetran/_typing.py

@@ -12,3 +12,3 @@ """
 NDBoolArray = np.typing.NDArray[np.bool_]
-NDFloatArray = np.typing.NDArray[np.float_]
+NDFloatArray = NDAnyArray  # Not nice, but since NumPy 2.0 there's no better way yet.
 NDIntArray = np.typing.NDArray[np.int_]
@@ -15,0 +15,0 @@

targetran/np/_np.py

@@ -297,5 +297,4 @@ """
 
-            indices = indices.tolist()
-            image_dest_tran_mats = np.take(image_dest_tran_mats, indices, 0)
-            bboxes_tran_mats = np.take(bboxes_tran_mats, indices, 0)
+            image_dest_tran_mats = np.take(image_dest_tran_mats, indices.tolist(), 0)
+            bboxes_tran_mats = np.take(bboxes_tran_mats, indices.tolist(), 0)
 
@@ -302,0 +301,0 @@ image_dest_tran_mat = np.linalg.multi_dot(image_dest_tran_mats)

tests/run_pt_dataset_test.py

@@ -14,3 +14,3 @@ #!/usr/bin/env python3
 
-NDAnyArray = np.typing.NDArray[np.float_]
+NDAnyArray = np.typing.NDArray[np.float32]
 
@@ -17,0 +17,0 @@

tests/run_tf_dataset_test.py

@@ -12,3 +12,3 @@ #!/usr/bin/env python3
 
-NDAnyArray = np.typing.NDArray[np.float_]
+NDAnyArray = np.typing.NDArray[np.float32]
 
@@ -15,0 +15,0 @@

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Improved metrics

Lines of code

2819

0.04%

Worsened metrics

Total package byte prevSize

152163

-0.07%