targetran - pypi Package Compare versions

Comparing version 0.11.6 to 0.10.4

PKG-INFO

 Metadata-Version: 2.1
 Name: targetran
-Version: 0.11.6
+Version: 0.10.4
 Summary: Target transformation for data augmentation in objection detection
@@ -11,3 +11,3 @@ Home-page: https://github.com/bhky/targetran
 Classifier: Operating System :: OS Independent
-Requires-Python: >=3.8
+Requires-Python: >=3.7
 Description-Content-Type: text/markdown
@@ -14,0 +14,0 @@ License-File: LICENSE

setup.cfg

@@ -17,6 +17,6 @@ [metadata]
 packages = find:
-python_requires = >=3.8
+python_requires = >=3.7
 install_requires = 
 	opencv-python
-	numpy>=1.22.0
+	numpy>=1.21.0
 
@@ -23,0 +23,0 @@ [options.package_data]

targetran.egg-info/PKG-INFO

 Metadata-Version: 2.1
 Name: targetran
-Version: 0.11.6
+Version: 0.10.4
 Summary: Target transformation for data augmentation in objection detection
@@ -11,3 +11,3 @@ Home-page: https://github.com/bhky/targetran
 Classifier: Operating System :: OS Independent
-Requires-Python: >=3.8
+Requires-Python: >=3.7
 Description-Content-Type: text/markdown
@@ -14,0 +14,0 @@ License-File: LICENSE

targetran.egg-info/requires.txt

 opencv-python
-numpy>=1.22.0
+numpy>=1.21.0

targetran/__init__.py

@@ -1,3 +0,3 @@
-__version__ = "0.11.6"
+__version__ = "0.10.4"
 __author__ = "Bosco Yung"
 __license__ = "MIT"

targetran/_check.py

@@ -65,14 +65,14 @@ """
     if limit_open_interval is None:
-        if not input_range[0] < input_range[1]:
+        if not input_range[0] <= input_range[1]:
             raise ValueError(
                 f"The {input_name} should be provided as "
-                f"(min_value, max_value), where min_value < max_value."
+                f"(min_value, max_value), where min_value <= max_value."
             )
         return
     lower_limit, upper_limit = limit_open_interval
-    if not lower_limit < input_range[0] < input_range[1] < upper_limit:
+    if not lower_limit < input_range[0] <= input_range[1] < upper_limit:
         raise ValueError(
             f"The {input_name} should be provided as "
             f"(min_value, max_value), "
-            f"where {lower_limit} < min_value < max_value < {upper_limit}."
+            f"where {lower_limit} < min_value <= max_value < {upper_limit}."
         )

targetran/_np_functional.py

@@ -25,3 +25,3 @@ """
 def _np_range(start: int, end: int, step: int) -> NDIntArray:
-    return np.arange(start, end, step, dtype=np.int32)
+    return np.arange(start, end, step, dtype=np.int32)  # type: ignore
 
@@ -34,7 +34,7 @@
 def _np_round_to_int(x: NDAnyArray) -> NDIntArray:
-    return np.rint(x.astype(dtype=np.float32)).astype(dtype=np.int32)
+    return np.rint(x.astype(dtype=np.float32)).astype(dtype=np.int32)  # type: ignore
 
 
 def _np_logical_and(x: NDBoolArray, y: NDBoolArray) -> NDBoolArray:
-    return np.logical_and(x, y)
+    return np.logical_and(x, y)  # type: ignore
 
@@ -54,3 +54,3 @@
     )
-    return np.pad(image, pad_width=pad_width, constant_values=0)
+    return np.pad(image, pad_width=pad_width, constant_values=0)  # type: ignore
 
@@ -57,0 +57,0 @@

targetran/np/_np.py

@@ -52,3 +52,3 @@ """
         _np_pad_image, _np_range, _np_cast_to_int, _np_round_to_int, np.repeat,
-        np.tile,  # type: ignore
+        np.tile,
         np.ones_like, np.stack, np.concatenate, np.matmul,
@@ -264,3 +264,3 @@ np.clip, np.floor, np.ceil, _np_gather_image,
         self._interpolation = interpolation
-        self._identity_mat = np.expand_dims(np.array([
+        self._identity_mat = np.expand_dims(np.array([  # type: ignore
             [1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]
@@ -289,6 +289,6 @@ ]), axis=0)
             conditions = np.reshape(rand_fn() < probs, (len(probs), 1, 1))
-            image_dest_tran_mats = np.where(  # type: ignore
+            image_dest_tran_mats = np.where(
                 conditions, image_dest_tran_mats, self._identity_mat
             )
-            bboxes_tran_mats = np.where(  # type: ignore
+            bboxes_tran_mats = np.where(
                 conditions, bboxes_tran_mats, self._identity_mat
@@ -295,0 +295,0 @@ )

targetran/tf/_tf.py

@@ -254,3 +254,3 @@ """
         self._rng = tf.random.Generator.from_seed(
-            seed if seed is not None else np.random.randint(1e6)  # type: ignore
+            seed if seed is not None else np.random.randint(1e6)
         )
@@ -257,0 +257,0 @@ self.name = name

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