Udacity-SDCND-Vehicle-Detection

https://shaoanlu.wordpress.com/2017/05/07/vihicle-detection-using-ssd-on-floybhub-udacity-self-driving-car-nano-degree/

Result video (SSD): https://www.youtube.com/watch?v=Vc1g27yJgsw

Result video (Mask-RCNN): https://www.youtube.com/watch?v=9N7jtUnCuz8

Descriptions

SSD keras 1

• ssd_download_essentials.ipynb: Run this notebook first to download SSD implemnetation, moviepy package and target video from github.
• SSD_car_detection.ipynb: Car detection using SSD is done in the first 6 cells.

SSD keras 2

• ssd_download_essentials_keras2.ipynb: Run this notebook first to download SSD implemnetation, moviepy package and target video from github.
• SSD_car_detection_keras2.ipynb: Car detection using SSD is done in the first 6 cells. This script will be in ./ssd_keras-master after running ssd_download_essentials_keras2.ipynb

Mask-RCNN

• Mask_RCNN_download_essentials.ipynb: This notebook git clone Mask-RCNN from matterport, download project video and pip install essential packages.
• visualize_car_detection.py: Utilities for visaulize Mask-RCNN result .Put this file in ./Mask_RCNN/
• Mask_RCNN_demo_car_detection.ipynb: Put this file in ./Mask_RCNN/

Requiremnets

• Keras 1 or keras 2 (2 for Mask-RCNN)
• Tensorflow (1.3 for Mask-RCNN)
• Python 3