add missing license headers

src/main/java/io/bioimage/modelrunner/numpy/DecodeImgLib2.java

@@ -1,14 +1,31 @@
+/*-
+ * #%L
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
+ * %%
+ * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
+ * %%
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ * 
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ * 
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ * #L%
+ */
 package io.bioimage.modelrunner.numpy;
 
 import java.nio.ByteBuffer;
-import java.util.Arrays;
 
 import io.bioimage.modelrunner.tensor.Tensor;
 import net.imglib2.Cursor;
 import net.imglib2.RandomAccessibleInterval;
 import net.imglib2.img.Img;
 import net.imglib2.type.NativeType;
-import net.imglib2.type.Type;
 import net.imglib2.type.numeric.RealType;
 import net.imglib2.type.numeric.integer.ByteType;
 import net.imglib2.type.numeric.integer.IntType;

src/main/java/io/bioimage/modelrunner/tensor/ImgLib2ToArray.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/ListToImgLib2.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java API for Tensorflow 1.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/CLibrary.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/MacosHelpers.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/SharedMemoryArray.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/SharedMemoryArrayLinux.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/SharedMemoryArrayMacOS.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/SharedMemoryArrayWin.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/java/io/bioimage/modelrunner/tensor/shm/SharedMemoryFile.java

@@ -1,7 +1,6 @@
 /*-
  * #%L
- * This project complements the DL-model runner acting as the engine that works loading models 
- * 	and making inference with Java 0.3.0 and newer API for Tensorflow 2.
+ * Use deep learning frameworks from Java in an agnostic and isolated way.
  * %%
  * Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
  * %%

src/main/resources/ops/stardist_postprocessing/stardist_postprocessing.py

@@ -1,3 +1,22 @@
+###
+# #%L
+# Use deep learning frameworks from Java in an agnostic and isolated way.
+# %%
+# Copyright (C) 2022 - 2023 Institut Pasteur and BioImage.IO developers.
+# %%
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+# 
+#      http://www.apache.org/licenses/LICENSE-2.0
+# 
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# #L%
+###
 from time import time
 t = time()
 import numpy as np