[object detection] Bug fixes in colab tutorial (#9725)

* OD tutorial colab working

* fixing install instructions link

research/object_detection/.gitignore

+# protos
+protos/*_pb2.py

research/object_detection/colab_tutorials/object_detection_tutorial.ipynb

@@ -56,7 +56,7 @@
         "id": "awjrpqy-6MaQ"
       },
       "source": [
-        "Important: If you're running on a local machine, be sure to follow the [installation instructions](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md). This notebook includes only what's necessary to run in Colab."
+        "Important: If you're running on a local machine, be sure to follow the [installation instructions](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2.md). This notebook includes only what's necessary to run in Colab."
       ]
     },
     {
@@ -79,6 +79,7 @@
       },
       "outputs": [],
       "source": [
+        "!pip install --upgrade pip\n",
         "!pip install -U --pre tensorflow==\"2.*\"\n",
         "!pip install tf_slim"
       ]
@@ -158,23 +159,12 @@
       "outputs": [],
       "source": [
         "%%bash\n",
-        "cd models/research/\n",
-        "protoc object_detection/protos/*.proto --python_out=."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "colab": {},
-        "colab_type": "code",
-        "id": "s62yJyQUcYbp"
-      },
-      "outputs": [],
-      "source": [
-        "%%bash \n",
         "cd models/research\n",
-        "pip install ."
+        "# Compile protos.\n",
+        "protoc object_detection/protos/*.proto --python_out=.\n",
+        "# Install TensorFlow Object Detection API.\n",
+        "cp object_detection/packages/tf2/setup.py .\n",
+        "python -m pip install --use-feature=2020-resolver ."
       ]
     },
     {
@@ -621,7 +611,7 @@
       },
       "outputs": [],
       "source": [
-        "masking_model.output_shapes"
+        "masking_model.signatures['serving_default'].output_shapes"
       ]
     },
     {

research/object_detection/utils/ops.py

@@ -822,7 +822,7 @@ def reframe_box_masks_to_image_masks(box_masks, boxes, image_height,
     A tensor of size [num_masks, image_height, image_width] with the same dtype
     as `box_masks`.
   """
-  resize_method = 'nearest' if box_masks.dtype == tf.uint8 else resize_method
+  resize_method = 'nearest' if tf.uint8 == box_masks.dtype else resize_method
   # TODO(rathodv): Make this a public function.
   def reframe_box_masks_to_image_masks_default():
     """The default function when there are more than 0 box masks."""