Add transform example

starnet_v1_TF2_transform.ipynb

@@ -0,0 +1,69 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf\n",
+    "from PIL import Image as img\n",
+    "import logging\n",
+    "tf.get_logger().setLevel(logging.ERROR)\n",
+    "from starnet_v1_TF2 import StarNet"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "starnet = StarNet(mode = 'RGB', window_size = 512)\n",
+    "starnet.load_model('./weights', './history')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "name = \"rgb_test5.tif\"\n",
+    "output = starnet.transform(name)\n",
+    "if starnet.mode == 'RGB':\n",
+    "    img.fromarray(output.astype('uint8'), mode = 'RGB').save(name + '_starless.tif')\n",
+    "else:\n",
+    "    img.fromarray(output.astype('uint8'), mode = 'L').save(name + '_starless.tif')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}