update colab link

Reviewed By: rbgirshick

Differential Revision: D17856669

fbshipit-source-id: df03807faa12b7d4a69587feea31167dba63b5a4

GETTING_STARTED.md

@@ -4,7 +4,8 @@
 This document provides a brief intro of the usage of builtin command-line tools in detectron2.
 
 For a tutorial that involves actual coding with the API,
-see our [Colab Notebook](TODO) which covers how to run inference with an
+see our [Colab Notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5)
+which covers how to run inference with an
 existing model, and how to train a builtin model on a custom dataset.
 
 For more advanced tutorials, refer to our [documentation](https://detectron2.readthedocs.io/tutorials/extend.html).
@@ -54,7 +55,8 @@ For more options, see `python tools/train_net.py -h`.
 
 ### Use Detectron2 in Your Code
 
-See our [Colab Notebook](TODO) to how to use detectron2 APIs to:
+See our [Colab Notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5)
+to learn how to use detectron2 APIs to:
 1. run inference with an existing model
 2. train a builtin model on a custom dataset
 

INSTALL.md

@@ -1,6 +1,6 @@
 ## Installation
 
-Our [Colab Notebook](TODO) also has step-by-step instructions that install detectron2.
+Our [Colab Notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5) also has step-by-step instructions that install detectron2.
 
 ### Requirements:
 - Python >= 3.6

MODEL_ZOO.md

@@ -16,8 +16,9 @@ Unless otherwise noted, the following settings are used for all runs:
 	For configs that are closer to Detectron's settings, see
 	[Detectron1-Comparisons](configs/Detectron1-Comparisons/).
 * No test-time augmentation is used for inference.
-* Inference time is measured with batch size 1. It contains the time taken to postprocess results for evaluation. Therefore it does not accurately
-	reflect time-to-results.
+* Inference time is measured with batch size 1. It contains the time taken to postprocess results for evaluation, as well as some input latency.
+	Therefore it does not accurately reflect time-to-results.
+	We'll provide better metrics for inference speed in the future.
 * The *model id* column is provided for ease of reference.
 * To check downloaded file integrity: any model on this page contains its md5 prefix in its file name.
 * All COCO models were trained on `train2017` and evaluated on `val2017`.

README.md

@@ -12,15 +12,18 @@ learning framework.
   <img src="https://user-images.githubusercontent.com/1381301/66535560-d3422200-eace-11e9-9123-5535d469db19.png"/>
 </div>
 
+See our [blog post](https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/)
+to see more demos and learn what's new in detectron2.
 
 ## Installation
 
 See [INSTALL.md](INSTALL.md).
 
 ## Quick Start
 
-See [GETTING_STARTED.md](GETTING_STARTED.md), or our [Colab Notebook](TODO).
-
+See [GETTING_STARTED.md](GETTING_STARTED.md),
+or the [Colab Notebook](https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5).
+Learn more at our [documentation](https://detectron2.readthedocs.org).
 
 ## Model Zoo and Baselines
 

docs/conf.py

@@ -28,8 +28,6 @@
 # to support markdown
 from recommonmark.parser import CommonMarkParser
 
-import detectron2
-
 sys.path.insert(0, os.path.abspath("../"))
 
 DEPLOY = False
@@ -52,10 +50,12 @@
     ]:
         sys.modules[m] = mock.Mock(name=m)
 
-for m in ["cv2", "scipy", "portalocker"]:
+for m in ["cv2", "scipy", "portalocker", "detectron2._C", "pycocotools", "pycocotools.mask"]:
     sys.modules[m] = mock.Mock(name=m)
 sys.modules["cv2"].__version__ = "3.4"
 
+import detectron2  # isort: skip
+
 
 project = "detectron2"
 copyright = "2019, detectron2 contributors"