Easy DashCam Editor (EDCE)

image: Wikimedia

If you have a sport camera and want to create timelapse, remove sound and audio, and easily Speed up/down your DashCam videos taken by any Sport/DSLR/Mobile Camera, you are on the right repository.

Git Repository:

Link to the repository: https://github.com/soja-soja/DashCam

Input format:

[fileType= mp4] [ speed= 4 ] [ frameRate= 30 ]

To Start:

  1. make sure you have ffmpeg installed on your system.
  2. Download the DashCamPipeline.sh and copy it in a folder of your choice (we call it DC_Home)
  3. Open terminal in that folder, ctrl+alt+t and cd to DC_Home, Now run these commands:
    chmod +x DashCamPipeline.sh
    mkdir ./DO
  4. Put all your Video files in ./DO folder, pass the file extension as the first parameter and desirable speed rate as the second input and Run it:
  • ./DashCamPipeline.sh mp4 1
    to just simply remove the audio and concatenate all videos with mp4 format
  • ./DashCamPipeline.sh mp4 5
    to remove the audio and speed up (5X) and concatenate all videos with mp4 format
  • ./DashCamPipeline.sh avi 5
    to remove the audio and speed up (5X) and concatenate all videos with avi format
  • ./DashCamPipeline.sh avi 5 60
    to remove the audio and speed up (5X) and original FrameRate is 60 fps and concatenate all videos with avi format
  • ./DashCamPipeline.sh
    to remove the audio and speed up (4X) and assume videos are 30fps and concatenate all videos with mp4 format – Default

Enjoy your output file in /Final folder.

Has your data any temporal aspect?

image: wikimedia

If you are analyzing a dataset with a time/date attribute, then the answer is yes!

Temporal analysis helps the models to capture the time-dependent variations and patterns and it can increase the accuracy of prediction for the future time slots.  But how can we use the time features efficiently?

 

[To be continued…]