mark-orion/pyfspro

Python Frame Sequence Processor for Schlieren Videography, Astronomy and other realtime video applications.

PyFSPro - Python Frame Sequence Processor

updated version with Kivy graphical user interface and now much better memory management.

Multi purpose realtime frame sequence and video processor for a wide range of applications including:

• Schlieren Videography using the Moiré-effect.
• Realtime Astronomical video processing for live presentations.
• Software image intensifier (night vision).
• Weak video signal detection and enhancement.
• Experiments with random number / event generation through camera noise and other video sources.

This is the GUI version of PyFSPro with a Kivy based graphical user interface.
The older command line only (non Kivy) version of PyFSPro can be found in the 'cli' folder. More information and and a dataflow diagram can be found in the PyFSPro Wiki
The 'doc' folder contains the flow diagram and pattern files that can be used for schlieren imaging.

Main features

• Resizable ring buffer for image "stacking".
• High accuracy processing core using floating point maths for image processing.
• Input from Camera, Image sequence or Video file.
• Output to Screen, Image sequence or Video file.
• Input channel can be greyscale or extracted from RGB, HSV or YCrCb color space.
• Input and Output processing chains with basic image enhancement functions.
• Vector display for the visualization of small changes in video stream.
• Actuators can control third party applications with vector data.
• Parameters can be set through the UI, command line options and configuration files.
• Most Parameters can be changed on the fly via the Kivy user interface.
• framestacker.py library can be re-used in other projects. It does not depend on OpenCV and only requires Numpy.

Image enhancement and analysis functions

• Image integration (rolling average).
• Image difference to fixed reference (dark) frame or rolling average.
• Cumulative deviation of stacked images.
• Convolution filters with customizable kernels.
• Image stabilizer (experimental).
• Automatic or manual gain and offset.
• Histogram Equalization.
• Contrast Limited Adaptive Histogram Equalization (CLAHE).
• Blurring
• DeNoising
• Pseudo Color
• Histogram plot of input and output data (good for camera calibration).
• Transient filter (display or save frames that "stick out" of the sequence).

Requirements

• Please refer to INSTALL.win for Windows installation instructions.
• Works with both Python 2 and 3
• Kivy (tested with version 1.9.1 and higher)
• Numpy (tested with version 1.11 and higher)
• OpenCV with Python bindings (supports both OpenCV 2 and 3) On Debian / Ubuntu based systems the requirements can be installed with the following commands:
  sudo apt-get install python-numpy python-opencv
  Please check the Kivy Website for Kivy installation instructions.

Optional for video recording

• For high resolution video it is best practice to use the OpenCV based image sequence recording instead of scikit-video.
• Scikit-Video This library is needed as a workaround for a video recording bug in Linux OpenCV 2.4.
  sudo pip install sk-video

If you are using the Mouse, OSC or STSpilot actuators

• requests (sudo apt-get instal python-requests)
• liblo (sudo apt-get instal python-liblo)
• pyautogui (sudo pip install pyautogui)

Usage

Installation: Clone or download PyFSPro from Github
Run the program: python PyFSPro.py
Or alternatively python2/python3 PyFSPro.py

Graphical User Interface

The GUI is divided in five main sections:

• Top bar - controls the core image processing routine.
• Bottom bar - generic controls.
• Middle area - video displays (movable and resizeable with mouse or touch screen).
• Left bar - input and pre processing chain.
• Right bar - output and post processing chain.

Description of GUI control elements

• Input / Output - show / hide input or output video.
• > - control video processing: > Play and Loop through video file, >|| Play and Pause at end, || Pause. The pause option will pause the entire system (input, processing, output). Looping and pausing at end are not working with a camera as input source.
• Msk-OFF - choose masking function for input frame (OFF, XOR, XORA, XORC).
  XOR: Chequerboard inversion of pixels. XORA: Alternation between two chequerboard patterns. XORC: Sum of pattern applied to the actual frame and inverse pattern applied to the previous frame.
• Proc-OFF - choose processing mode (OFF, AVG, DIFF, CUMSUM, CUM-Z).
  AVG: Average of whole stack. DIFF: Frame - Darkframe. CUMSUM: Cumulative sum of DIFF. CUM-Z: Cumulative sum of Z-Scores.
• Dark-OFF - choose darkframe mode for DIFF and CUMSUM (OFF, DynDark, Static, Grey). DynDark uses rolling average and Static uses the current frame as dark frame.
• Reset - Reset stack.
• TR-OFF - Transient Filter (OFF, Rising Intensity Slope, Falling Intensity Slope).
• The top slider sets the sensitivity of the vector output or the triggerlevel in transient mode.
• The bottom slider sets the stack size. The number of frames is displayed to the right. It turns green when the stack is full and rolling.
• X / Y - flip image around X or Y axis.
• GREY - click to change color palette from greyscale to pseudo color.
• EQ-OFF - choose equalization mode (Histogram or CLAHE - Contrast Limited Adaptive Histogram Equalization).
• Denoise - denoising filter (very CPU intensive!).
• FLT-OFF - choose convolution filter kernel defined in filters.py.
• LOCK - experimental image stabilizer.
• G, O, Auto - the sliders set Gain and Offset (contrast, brightness). Auto finds the optimum values for best dynamic resolution.
• Blur - toggle blurring.
• Hist - show input or output histogram (useful for camera adjustment).
• BW - choose channel from various color spaces or LSB mask for random number generation (BW = Greyscale, R, G, B, H, S, V, Y, Cr, Cb, RND).
  RND returns LSB * 255
• Save Config - save current configuration. The default save location is ./output/ and can be changed with the -od / --output_dir option.
• Rec-Off - save the output stream as video or image sequence. The default save location is ./output/ and can be changed with the -od / --output_dir option.
• Data Display - Show vector scope marker on the screen.
• Datamode - choose vector data processing mode (AVG, CUM-Z).
  AVG: Average. CUM-Z: Cumulative sum of Z-Scores.
  For processing the output frame is divided into four regions: Upper half, Lower half, Left half, Right half.
  Each region is processed separately before the difference between left/right and upper/lower is used as XY vector.
• Data Output (1) - Enable vector data processing. (1) = Joystick / Gamepad button 1.
• Zero Output (2) - Center vectorscope marker on screen.
• Joystick Override (3) - Allow Joystick to control vector output.
• Actuator Paused (4) - Enable Actuator.
• OSD - (enabled by default) show / hide control bars.

Working with different configurations

A snapshot of the current configuration can be saved by pressing the "Save Config" button. The timestamped configuration file will be saved in the ./output/ directory
or any folder defined via the -od / --output_dir command line option.
Use the -c / --config_file option to load a configuration file on startup.
Additional command line options can be used to override the ones specified in the configuration file. Please be aware that configuration files might not work with different versions of the program.

Files and Folders in the build directory

• PyFSPro.py - the main program.
• framestacker.py - frame stacker module for the main processing operation.
• filters.py - contains the convolution kernels used in the input and output filters. Custom kernels can be added to this file!
• videosource.py - manages video input from camera, videofile or image sequence.
• actuators.py - actuator classes that allow the application to interact with the outside world. The default 'Paint' actuator uses the vector data to draw a line on the screen. The line color depends on the generic brightness of the output image.
• config.py - default configuration and config load / save functionality.
• output - default directory to store images, videos and settings files.
• doc - various documents: Dataflow graph, schlieren background patterns etc.
• cli - contains the command line only (non Kivy) version of PyFSPro.

Important command line arguments and parameters

Run 'python PyFSPro.py --help' for a full list of command line options.

• INPUT_SOURCE
• name of the opened video file (eg. video.avi) or image sequence (eg. img_%02d.jpg, which will read samples like img_00.jpg, img_01.jpg, img_02.jpg, ...).
• device-id of the opened video capturing device (i.e. a camera index). If there is a single camera connected, just pass 0.
• PICAMERA to use a RaspberryPi camera.

Mark Dammer, Forres, Scotland 2019

pyfspro's Issues

Issues installing under Windows, which versions of libraries, dependencies to use?

Hello :-)

I am using Windows 10, 64 bit, and struggle getting it to work. I have very, very little experience with Python.

I am following Following INSTALL_WIN.md.

To avoid downward compatibility issues I tried with Python 2.7 by downloading Anaconda2-2.5.0-Windows-x86_64.
And opencv-2.4.13.

python -m pip install --upgrade pip wheel setuptools fails and thus running python PyFSPro.py:

[CRITICAL] [Window ] Unable to find any valuable Window provider. Please enable debug logging (e.g. add -d if running from the command line, or change the log level in the config) and re-run your app to identify potential causes
sdl2 - ImportError: DLL load failed: Das angegebene Modul wurde nicht gefunden.
File "C:\Anaconda2\lib\site-packages\kivy\core_init_.py", line 63, in core_select_lib
fromlist=[modulename], level=0)
File "C:\Anaconda2\lib\site-packages\kivy\core\window\window_sdl2.py", line 27, in
from kivy.core.window._window_sdl2 import _WindowSDL2Storage

Traceback (most recent call last):
File "PyFSPro.py", line 47, in
import actuators as acts
File "C:\PyFSPro-master\actuators.py", line 18, in
import liblo
ImportError: No module named liblo

Installing liblo (pyliblo) manually didn't work, downloading VCForPython27 I still get this error:

C:\Users\Me\AppData\Local\Programs\Common\Microsoft\Visual C++ for Python\9.0\VC\Bin\amd64\cl.exe /c /nologo /Ox /MD /W3 /GS- /DNDEBUG -IC:\Anaconda2\include -IC:\Anaconda2\PC /Tcsrc/liblo.c /Fobuild\temp.win-amd64-2.7\Release\src/liblo.obj -fno-strict-aliasing -Werror-implicit-function-declaration -Wfatal-errors
cl : Command line error D8021 : invalid numeric argument '/Werror-implicit-function-declaration'
error: command 'C:\Users\Me\AppData\Local\Programs\Common\Microsoft\Visual C++ for Python\9.0\VC\Bin\amd64\cl.exe' failed with exit status 2

Could anyone point me to the right versions I need to use, or how to resolve the error(s)?

I apologize if this is a bit unorganized, I tried different ways to install dependencies and fix the errors (and if I worded something wrong, English isn't my native language).

I am trying to get this to work during a project after regular school classes to observe air flow, thermal currents with students, and the effect of wearing different types of masks.

Thank you ._)

Magnifying movements in video

Hi,

thanks for your great work. I came here since you wrote that your software might be helpful in detecting subtle changes in video in the same way Eulerian-Magnification does. Can you please elaborate on that or show how to do that ?
brycedrennan/eulerian-magnification#16

I loaded a video and played a bit with the controls but seem to be a bit lost with the overall gui.

Thanks for your help
Alexander