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.
[notice] A new release of pip is available: 23.0.1 -> 23.1.2
[notice] To update, run: pip install --upgrade pip
Note: you may need to restart the kernel to use updated packages.
nohup eva_server > eva.log 2>&1 &
[notice] A new release of pip is available: 23.0.1 -> 23.1.2
[notice] To update, run: pip install --upgrade pip
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?raw=1" -O ua_detrac.mp4
File ‘ua_detrac.mp4’ already there; not retrieving.

Load the surveillance videos for analysis#

We use regular expression to load all the videos into the table#

cursor.execute('DROP TABLE IF EXISTS ObjectDetectionVideos')
response = cursor.fetch_all()
response.as_df()

cursor.execute('LOAD VIDEO "ua_detrac.mp4" INTO ObjectDetectionVideos;')
response = cursor.fetch_all()
response.as_df()
0
0 Number of loaded VIDEO: 1

Visualize Video#

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