Add notebook, gitignore

.gitignore

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+.idea
+.keras
+.config
+.cache
+__pycache__
+.bash_history
+.python_history
+env

train.ipynb

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+{
+ "metadata": {
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8-final"
+  },
+  "orig_nbformat": 2,
+  "kernelspec": {
+   "name": "python3",
+   "display_name": "Python 3.8.8 64-bit",
+   "metadata": {
+    "interpreter": {
+     "hash": "ee99f7bd678359d45d92ad289bdab8f6bcfaae579cfd1bff07d2bb16d7ba024f"
+    }
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2,
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import fast_depth_functional as fd"
+   ]
+  },
+  {
+   "source": [
+    "### Windows GPU Fix"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "1 Physical GPUs, 1 Logical GPUs\n"
+     ]
+    }
+   ],
+   "source": [
+    "fd.fix_windows_gpu()"
+   ]
+  },
+  {
+   "source": [
+    "## Create and compile the model"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "text": [
+      "WARNING:tensorflow:`input_shape` is undefined or non-square, or `rows` is not in [128, 160, 192, 224]. Weights for input shape (224, 224) will be loaded as the default.\n"
+     ]
+    }
+   ],
+   "source": [
+    "model = fd.mobilenet_nnconv5(weights='imagenet')\n",
+    "fd.compile(model)"
+   ]
+  },
+  {
+   "source": [
+    "## Train the model using the nyu_v2 dataset (default, huge download)"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fd.train(existing_model=model, save_file='../fast-depth-experimental')"
+   ]
+  },
+  {
+   "source": [
+    "## Evaluate the model"
+   ],
+   "cell_type": "markdown",
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fd.evaluate(model)"
+   ]
+  }
+ ]
+}