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LICENSE

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+MIT License
+
+Copyright (c) 2017-2018 Udacity, Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# CarND Object Detection Lab
+
+![](assets/clip.gif)
+
+In lab this you will:
+
+* Learn about *MobileNets* and separable depthwise convolutions.
+* The SSD (Single Shot Detection) architecture used for object detection
+* Use pretrained TensorFlow object detection inference models to detect objects
+* Use different architectures and weigh the tradeoffs.
+* Apply an object detection pipeline to a video.
+
+Open the notebook and work through it!
+
+### Requirements
+
+Install environment with [Anaconda](https://www.continuum.io/downloads):
+
+```sh
+conda env create -f environment.yml
+```
+
+Change TensorFlow pip installation from `tensorflow-gpu` to `tensorflow` if you don't have a GPU available.
+
+The environment should be listed via `conda info --envs`:
+
+```sh
+# conda environments:
+#
+carnd-advdl-odlab        /usr/local/anaconda3/envs/carnd-advdl-odlab
+root                  *  /usr/local/anaconda3
+```
+
+Further documentation on [working with Anaconda environments](https://conda.io/docs/using/envs.html#managing-environments). 
+
+Particularly useful sections:
+
+https://conda.io/docs/using/envs.html#change-environments-activate-deactivate
+https://conda.io/docs/using/envs.html#remove-an-environment
+
+### Resources
+
+* TensorFlow object detection [model zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md)
+* [Driving video](https://s3-us-west-1.amazonaws.com/udacity-selfdrivingcar/advanced_deep_learning/driving.mp4)
+
+### Tips
+- Some windows users have reported the driving video as playable only in Jupyter Notebook operating in Chrome browser, and not in media player or Jupyter Notebook operating in other browsers.  In contrast the post-segmentation video appears to be operating across players and browsers.