Changes between Version 20 and Version 21 of Other/Summer/2020/SmartIntersection

Timestamp:

Jul 23, 2020, 7:25:50 PM (4 years ago)

Author:

NicholasMeegan1

Comment:

—

Other/Summer/2020/SmartIntersection

@@ -7 +7 @@
 https://bzz3ru.wixsite.com/smartintersection
 
+== Gitlab Repositories == 
+**!DeepStream and YOLOv3 Application:** https://gitlab.orbit-lab.org/si2020-smartintersection/smart-intersection-ds-yolov3-app
+
+**OpenCV- Add Bounding Boxes to Video:** https://gitlab.orbit-lab.org/si2020-smartintersection/add-bounding-boxes
+
 == Project Objective ==
 
 The goal of this project is to create a method for estimating the statistics for vehicle count/traffic flow into one intersection in New York City. As an example, record videos of the northbound traffic on Amsterdam Avenue, as vehicles are entering the 120th St./Amsterdam Av. intersection. Using YOLOv3 deep learning model, detect and count vehicles as they approach/enter the intersection from south, making sure that there is no double-counting. Use 180 second long video fragments (approximately two traffic light cycles), and repeat up to half a dozen times a day,  for a number of workweek/weekend days during the same times of each day. Compare the vehicle count (traffic flow) as a function of the time of the day. Utilize NVIDIA !DeepStream deployed on COSMOS GPU compute servers to run the model.  The method should be generalizable/expandable to any direction of vehicle movement, when appropriate camera views are available.
-
-== Reading Material ==
-
 
 == Week 1 Activities ==
@@ -134 +136 @@
 **Week 8 Team Meeting Presentation:** ''To be posted at a later date''
 
-**Final Presentation:** ''To be posted at a later date''
+**Project Review Presentation:** https://docs.google.com/presentation/d/18aSVqdheWwhezxHjDkGKT2suJGrfbWYOz5Blk1VmH28/edit?usp=sharing
+
+**Open House Final Presentation:** ''To be posted at a later date''