https://github.com/tristancacqueray/pycf

Context Free Art rendering tool
https://github.com/tristancacqueray/pycf

Last synced: 14 days ago
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Context Free Art rendering tool

• Host: GitHub
• URL: https://github.com/tristancacqueray/pycf
• Owner: TristanCacqueray
• License: gpl-2.0
• Created: 2010-10-16T07:36:40.000Z (about 14 years ago)
• Default Branch: master
• Last Pushed: 2017-12-03T07:23:36.000Z (almost 7 years ago)
• Last Synced: 2024-10-11T01:45:53.196Z (27 days ago)
• Language: Python
• Homepage:
• Size: 504 KB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README
  • License: COPYING

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README

        
Python Context Free Art rendering tool

======================================

	pycf is a tool that render image with cfdg (http://www.contextfreeart.org)

	it use musical wave to morph the shape.

Requierement

------------

	* cfdg installed in PATH

	* python 2.6 with Tk

	* numpy

	* scipy

	* imaging (PIL)

	* pyaudio

	* mplayer (mencoder)

	Optional:

	* gnuplot-py

	* pyopengl

How-to Use

----------

	python -OO main/context_free.py

	There are several parameter:

		--list:			list input/output audio devices

		--input-device index	select input devices	

		--output-device index	select output devices

	

		--fps num		25 by default, must be a multiple of 44100

		--wave path		read and play the wave file

		--render png_tmp_path	specify where the frames will be written (path must contain %06d)

					--render mode require the use of a wav file

		--opengl		opengl shapes

	Preset for rendering:

		--gains master low mid high	set default gain

How it work

-----------

	context_free.py:                                cf_inputs.audio_process():

		| while True:                           | while True:

		|                                       |       grab_wave (input_device or wav file)

		|       Queue.pop()  <------------->    |       Queue.push(filter//fft)   : cf_dsp.py

		|       controllers.get_state():        cf_ihm.py

		|       shape = generate_shape():       cf_shapes.py

		|       png_file = render(shape):       cf_render.py

		|       viewer.show(png_file):          cf_ihm.py

	if --render mode is activated, all shape are store, then at the end of stream (press ^C)

	all png are rendered in high res then encoded with the audio file into a video