video-frame-selector 0.0.7

Meta-tool that presents frames from a video to image analysis frameworks and uses the predictions to determine whether to use a frame or not.

Meta-tool that presents frames from a video to image analysis frameworks and uses the predictions to determine whether to use a frame or not.

Frames can be presented as files (file-polling-based) with the predictions then being read from files that the image analysis framework generated.

Alternatively, a Redis (https://redis.io/) backend can be used (redis-based), to broadcast the images as JPG bytes and then listening on another channel for the predictions to come through. This approach avoids wearing out disks.

Project page:

https://github.com/waikato-datamining/video-frame-selector

Changelog

0.0.7 (2021-09-27)

• process.py now adheres to the –output_metadata flag

• process_redis.py allows processing of frames via Redis backend

0.0.6 (2021-08-05)

• frames processed output is now always being output

• added logging output for frame file and metadata file in verbose mode

0.0.5 (2021-08-05)

• added –output_metadata flag that stores information on predictions and cropping when outputting frames

0.0.4 (2021-08-03)

• added –crop_to_content flag that crops the frames to the bounding boxes (only when not generating an output video)

• added –crop_margin option to enforce a buffer around cropped region

• added –crop_min_width and –crop_min_height options to enforce a minimum width/height

0.0.3 (2021-08-02)

• added –poll_interval option (https://github.com/waikato-datamining/video-frame-selector/issues/2)

• added logging output for when writing image to disk

0.0.2 (2021-07-30)

• fixed return statement in process_image method

• added more debugging output

• added –analysis_keep_files option for debugging purposes, which won’t delete the output of the image analysis framework

• added options for defining a frame window (–from_frame, –to_frame)

0.0.1 (2021-07-21)

• initial release