Streaming a Dataset
We have made available a few seminal computer vision/spatial computing datasets to be used with Sensor Stream Pipe.
If you have a spatial computing/computer vision pipeline that you would like to compare to the pipelines of these published papers, you can stream the data to both pipelines with Sensor Stream Pipe.
We have provided scripts that are able to take specific published datasets and generate a .txt file that can be ingested by Sensor Stream Server to stream those datasets to Sensor Stream Client.
Our currently supported datasets:
Follow the instructions below to stream a dataset and ingest the output with Sensor Stream Client, which can be used as a component of your own spatial computing pipeline.
After extracting the paths of your created frame list files, change the paths on line 8 and 9 in
configs/serve_frames_color_depth.yaml. The config file is currently pointed at example frame list files:
2.2 Move the downloaded .mkv file to the same folder as the Sensor Stream Server executable (not required but this way you will not need to define the path to the video file in the config yaml in step 2.2)
2.2 Update line 10 (path) in Sensor-Stream-Pipe/configs/serve_video.yaml to point at the downloaded .mkv file (or the path of any mkv file)
If you are using the downloaded .mkv file and placed it in the same folder as the server executable then line 10 would be:
3.1 Run Sensor Stream Client with OpenCV (this will use OpenCV to visualize incoming streams)
Run with whatever port you have set in the config yaml (default is 9999)
3.2 Run Sensor Stream Server
You will need to provide an argument which has a path to the config yaml you want to use. In the example .yaml provided in the configs/ folder we assume you have created a frame list and put it in examples/.