Object Detection Tutorial#

Run on Google Colab View source on GitHub Download notebook

Start EVA server#

We are reusing the start server notebook for launching the EVA server.

!wget -nc "https://raw.githubusercontent.com/georgia-tech-db/eva/master/tutorials/00-start-eva-server.ipynb"
%run 00-start-eva-server.ipynb
cursor = connect_to_server()
File ‘00-start-eva-server.ipynb’ already there; not retrieving.
[  -z "$(lsof -ti:5432)" ] || kill -9 "$(lsof -ti:5432)"
nohup eva_server > eva.log 2>&1 &
Note: you may need to restart the kernel to use updated packages.

Download the Videos#

# Getting the video files
!wget -nc https://www.dropbox.com/s/k00wge9exwkfxz6/ua_detrac.mp4
# Getting the FastRCNN object detector
!wget -nc https://raw.githubusercontent.com/georgia-tech-db/eva/master/eva/udfs/fastrcnn_object_detector.py
File ‘ua_detrac.mp4’ already there; not retrieving.
File ‘fastrcnn_object_detector.py’ already there; not retrieving.

Load the surveillance videos for analysis#

cursor.execute('DROP TABLE ObjectDetectionVideos')
response = cursor.fetch_all()
print(response)
cursor.execute('LOAD FILE "ua_detrac.mp4" INTO ObjectDetectionVideos;')
response = cursor.fetch_all()
print(response)
@status: ResponseStatus.SUCCESS
@batch: 
                                                    0
0  Table Successfully dropped: ObjectDetectionVideos
@query_time: 0.03250785917043686
@status: ResponseStatus.SUCCESS
@batch: 
                                                      0
0  Video successfully added at location: ua_detrac.mp4
@query_time: 0.04492253065109253

Visualize Video#

from IPython.display import Video
Video("ua_detrac.mp4", embed=True)