folder name change

Author: Cheng-Lin-Li

Competition/ObjectDetectionRecognition/README.md

@@ -1,4 +1,5 @@
 # Mask R-CNN for Object Detection and Segmentation
+## The project clone from [https://github.com/matterport/Mask_RCNN](https://github.com/matterport/Mask_RCNN)
 
 This is an implementation of [Mask R-CNN](https://arxiv.org/abs/1703.06870) on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.
 
@@ -29,6 +30,10 @@ The goal is to improve OpenStreetMap by adding high quality baseball, soccer, te
 * [demo.ipynb](/demo.ipynb) Is the easiest way to start. It shows an example of using a model pre-trained on MS COCO to segment objects in your own images.
 It includes code to run object detection and instance segmentation on arbitrary images.
 
+* [Video-Demo-Mask_RCNN.ipynb](/Video-Demo-Mask_RCNN.ipynb.ipynb) Is the another easiest way to start the stream data. It shows an example of using a model pre-trained on MS COCO to segment objects from your own webcam.
+It includes code to run object detection and instance segmentation on arbitrary images.
+This is an additional example which does not include in original repository. It refers from some other resources into this Jupyter notebook.
+
 * [train_shapes.ipynb](train_shapes.ipynb) shows how to train Mask R-CNN on your own dataset. This notebook introduces a toy dataset (Shapes) to demonstrate training on a new dataset.
 
 * ([model.py](model.py), [utils.py](utils.py), [config.py](config.py)): These files contain the main Mask RCNN implementation.