CAER_Video_GUI

Video GUI, python example for caer, with rather simple interface which allows applying some visual effects to the video, saving the camera stream and face detection.

Caer is a python library used for Computer or Machine Vision, with the power of OpenCV, so make sure to read everything you can in that repository.

Requirements: python3 with tkinter, caer and somewhat of a fast computer.

Run it either via IDLE or from command prompt / terminal with one of these commands:

• python caer_video_gui.py
• python -m caer_video_gui
• python3 caer_video_gui.py
• python3 -m caer_video_gui

Screenshot

Functionality

• Video is displayed in external window (the smaller the video size the faster the rendering)

• Select the camera source to capture the video from (0 is usually default)

• Open and play a video file as well as loop it (use the Open File >> option and either browse locally or enter a URL)

• Scale the video

• Take a screenshot of the current video frame (files will be saved in the app's folder)

• Save camera video to a video file (saved to app's folder as AVI at 20fps) - !!! CAUTION !!! THE FILE COULD POSSIBLY GET LARGE

  • This is currently set to use *'h264' codec so check this link to get the file for your OS
  • Make sure to get the correct version since on my computer it was asking for v1.8.0 while currently the latest is v2.1.1
  • On Windows, it is sufficient to copy this dll file to C:\Windows\System32 folder
  • Possibly replace the codec with *'XVID' or *'mp4v' - see code on line 189 or around that number
  • Suggestion: leave the extension as .avi regardless of the choice of codec

The following effects can be applied:

• Gamma, Hue, Saturation, Sharpen, Gaussian Blur, Posterize, Solarize and Sobel Gradient
• Edges and Emboss (which are mutually exclusive - you can only have one applied at the time)

The more effects applied the slower the frame processing. The highest impact have the Hue and Saturation effects.

Face Detection:

• Only applicable to camera stream
• Its functionality might be questionable on modified frames so no transformations can be applied (sliders will be disabled)
• Side effect seems to be dropped frames (at least on my computer):
  • Displayed video might slow down a bit
  • Saved video might speed up a bit
  • Scale the video down to achieve better frame rate (0.5 scale seems to work fine)

Tested as working in Windows 10 with python v3.6.8.

CAER_Multi_Video_GUI

This particular version only allows playing videos from multiple sources and taking screenshots from either (no visual effects).

Requirements: the same as for the above CAER_Video_GUI.

Running the app: the same as for the above CAER_Video_GUI, just change 'caer_video_gui' to 'caer_multi_video_gui'

Screenshot

Functionality

• Up to 4 video windows can be opened (the smaller the video size the faster the rendering)
• Select either camera 0 or 1 or both to capture the video from (0 is usually default)
• Open and play either 1 or 2 video files as well as loop them
• Take a screenshot of the current video frame from any open window (files will be saved in the app's folder)

CAER_Image_GUI

This is an expanded version of the app found here.

It additionally supports SVG and GIF files but does require, in addition to caer and matplotlib, installing the python pyvips package with pip as well as pyvips libraries, so make sure to read the pyvips installation instructions.

Also make sure to understand that any foreign SVG files could pose a security risk, so maybe check this SVG Sanitizer Test page for a little bit of additional help.

Read all the comments inside the file itself.

Screenshot

License

Licensed under MIT license.

Trademarks

Any and all trademarks, either directly or indirectly mentioned, belong to their respective owners.

Useful Resources

Check the other GUI examples in the caer repository as well as the course with videos.