Added note about train.py being in legacy folder

Author: EdjeElectronics

README.md

@@ -1,9 +1,9 @@
 # How To Train an Object Detection Classifier for Multiple Objects Using TensorFlow (GPU) on Windows 10
 
 ## Brief Summary
-*Last updated: 4/7/2018 with TensorFlow v1.7*
+*Last updated: 9/26/2018 with TensorFlow v1.10*
 
-*Changes: Added Cython to list of packages to install in Section 2d. Removed instructions to add PYTHONPATH to PATH in Section 2e, because it's not needed.*
+*Changes: Added note that the train.py file is now located in the /object_detection/legacy folder and must be moved into the main folder before issuing the training command.
 
 This repository is a tutorial for how to use TensorFlow's Object Detection API to train an object detection classifier for multiple objects on Windows 10, 8, or 7. (It will also work on Linux-based OSes with some minor changes.) It was originally written using TensorFlow version 1.5, but will also work for newer versions of TensorFlow.
 
@@ -330,7 +330,8 @@ Make the following changes to the faster_rcnn_inception_v2_pets.config file. Not
 Save the file after the changes have been made. That’s it! The training job is all configured and ready to go!
 
 ### 6. Run the Training
-UPDATE 9/26/18: As of version 1.9, TensorFlow has deprecated the "train.py" file and replaced it with "model_main.py" file. I haven't been able to get model_main.py to work correctly yet (I run in to errors related to pycocotools). Fortunately, the train.py file is still available in the /object_detection/legacy folder. Simply move train.py from /object_detection/legacy into the /object_detection folder and then continue following the steps below.
+**UPDATE 9/26/18:** 
+*As of version 1.9, TensorFlow has deprecated the "train.py" file and replaced it with "model_main.py" file. I haven't been able to get model_main.py to work correctly yet (I run in to errors related to pycocotools). Fortunately, the train.py file is still available in the /object_detection/legacy folder. Simply move train.py from /object_detection/legacy into the /object_detection folder and then continue following the steps below.
 
 Here we go! From the \object_detection directory, issue the following command to begin training:
 ```