This is a video analytics system built on top of DDS. It serves as the simulation environment of Maxim.
To run our code, please make sure that conda is installed. Then, under dds repo, run
conda env create -f conda_environment_configuration.yml
to install dds environment. Note that this installation assumes that you have GPU resources on your machine. If not, please edit tensorflow-gpu=1.14 to tensorflow=1.14 in conda_environment_configuration.yml.
Now run
conda activate dds
to activate dds environment, and
cd workspace
and run
wget people.cs.uchicago.edu/~kuntai/frozen_inference_graph.pb
to download the object detection model (FasterRCNN-ResNet101).
and run
mkdir logs
to create directory for logs.
Go to CS538 google drive, download files from dataset folder.
Put
frozen_inference_graph.pb into ./workspace,
trafficcam_1.mp4 into ./dataset
trafficcam_1_gt into ./workspace/results.
Under DDSrepo/workspace, run
python play_video.py
to run DDS!