Live video capture mode (timelapse_video.py)

Configuration:

Edit the file config.json to set up the time-lapse video capture process.

seconds_per_frame setting

Seconds of real time per frame in output video Example value: 30

fps setting

Frames per second in the output video. Example value: 30.0 Example value: 40.0 Example value: 60.0

frame_size setting

Photo and video resolution. Example value: [1280, 720] (720p video resolution)

fourcc

4-CC code for the video, e.g. "mp4v",

date_time_fmt

Format of the date/time when the script is started, to be used in the video output filename. Example value: "%Y%m%d_%H%M%S",

mp4_filename_fmt

Format of the video output filename that will be set with the date/time when the script is started where "%s" in the format string. Example value: "C:\Users\Public\Videos\output_%s.mp4",

vidcap_camera_index

Video source number on the PC to use. Example value: 0 This can be set to a URL string as well, for IP cameras, as OpenCV supports capture from such devices. Example value: "http://192.168.1.101/video"

CAP_PROP_CHANNEL (optional)

If this is specified, then CAP_PROP_CHANNEL is set to the given value. Example value: 40.1

Usage:

To execute the process, run timelapse_video.py with your locally installed python3 interpreter as per normal python procedures.

Stop-motion mode (stop_motion_capture.py)

Configuration:

Same configuration as live video capture mode (timelapse_video.py), except that the seconds_per_frame setting is ignored.

Usage:

To execute the process, run stop_motion_capture.py with your locally installed python3 interpreter as per normal python procedures.

Pre-existing sequence of still images in a directory mode (jpegs_to_timelapse_video.py)

Configuration:

Specify your photo collections:

Edit the file img_sequence_config.json to set the photo gallery directory that will be processed.

fps setting

Frames per second in the output video. Example value: 30.0 Example value: 40.0 Example value: 60.0

frame_size setting

Photo and video resolution. Example value: [1920, 1080] (1080p video resolution)

fourcc

4-CC code for the video, e.g. "mp4v",

mp4_filename

Video output filename.

img_cap_dir setting:

Set this value to the pathname of the local directory where the collection of photos is stored.

img_glob_pattern

Set this value to specify the photos in the specified directory that will be selected. Example value: "*.jpg" (All jpg files)

Usage:

To execute the process, run jpegs_to_timelapse_video.py with your locally installed python3 interpreter as per normal python procedures.

Dependencies:

This project requires the module pyopencv. You can install it using pip: run pip install pyopencv as per normal python procedures. pyopencv requires a local OpenCV installation; please see its documentation for help with that.