example code to get depth prediction for `depth from video in the wild` https://github.com/google-research/google-research/tree/master/depth_from_video_in_the_wild

depth_from_video_in_the_wild_prediction_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning: To use the exr data format, please install the OpenEXR package following the instructions detailed in the README at github.com/tensorflow/graphics.\n",
      "Warning: To use the threejs_vizualization, please install the colabtools package following the instructions detailed in the README at github.com/tensorflow/graphics.\n",
      "WARNING: Logging before flag parsing goes to stderr.\n",
      "W1024 04:25:34.665361 140562096183040 lazy_loader.py:50] \n",
      "The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
      "For more information, please see:\n",
      "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
      "  * https://github.com/tensorflow/addons\n",
      "  * https://github.com/tensorflow/io (for I/O related ops)\n",
      "If you depend on functionality not listed there, please file an issue.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "import model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W1024 04:25:35.306735 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/model.py:377: The name tf.variable_scope is deprecated. Please use tf.compat.v1.variable_scope instead.\n",
      "\n",
      "W1024 04:25:35.307401 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/model.py:377: The name tf.AUTO_REUSE is deprecated. Please use tf.compat.v1.AUTO_REUSE instead.\n",
      "\n",
      "W1024 04:25:35.360530 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/model.py:378: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
      "\n",
      "W1024 04:25:35.441872 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/depth_prediction_net.py:281: The name tf.get_variable is deprecated. Please use tf.compat.v1.get_variable instead.\n",
      "\n",
      "W1024 04:25:35.460598 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/depth_prediction_net.py:285: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.\n",
      "\n",
      "W1024 04:25:35.514074 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/depth_prediction_net.py:58: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.\n",
      "\n",
      "W1024 04:25:35.550806 140562096183040 deprecation.py:323] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/depth_prediction_net.py:293: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use keras.layers.BatchNormalization instead.  In particular, `tf.control_dependencies(tf.GraphKeys.UPDATE_OPS)` should not be used (consult the `tf.keras.layers.batch_normalization` documentation).\n",
      "W1024 04:25:36.732197 140562096183040 deprecation_wrapper.py:119] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/motion_prediction_net.py:198: The name tf.image.resize_bilinear is deprecated. Please use tf.compat.v1.image.resize_bilinear instead.\n",
      "\n",
      "W1024 04:25:37.096778 140562096183040 deprecation.py:323] From /home/ubuntu/workspace/google-research/depth_from_video_in_the_wild/motion_prediction_net.py:54: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use `tf.cast` instead.\n"
     ]
    }
   ],
   "source": [
    "train_model = model.Model(img_height=None, img_width=None, batch_size=None, is_training=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W1024 04:25:42.981806 140562096183040 deprecation.py:323] From /home/ubuntu/anaconda3/envs/keras_p36/lib/python3.6/site-packages/tensorflow/python/training/saver.py:1276: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use standard file APIs to check for files with this prefix.\n"
     ]
    }
   ],
   "source": [
    "sess = tf.Session()\n",
    "saver = tf.train.Saver()\n",
    "saver.restore(sess, 'cityscapes_kitti_learned_intrinsics/model-1000977')\n",
    "# saver.restore(sess, 'kitti_learned_intrinsics/model-248900')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd5d596dc88>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {

Put this notebook under google-research/depth_from_video_in_the_wild/.
Download the model weights from original repo.
You need two additional steps before running this notebook.

1. remove all the from depth_from_video_in_the_wild in the imports.
2. comment out self.global_step = ... in line 88 in model.py.