Tom Vercauteren tvercaut

## wavelength_to_rgb.py
#!/usr/bin/env python3

import numpy as np
import matplotlib.pyplot as plt

def wavelength_to_rgb(wavelengths, gamma=0.8):
    '''This converts a given wavelength of light to an
    approximate RGB color value. The wavelength must be given
    in nanometers in the range from 380 nm through 750 nm
    (789 THz through 400 THz).

## !RANSAC-based plane fitting - A rough batched PyTorch implementation.md

      
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                tvercaut
                / !RANSAC-based plane fitting - A rough batched PyTorch implementation.md
            
            
              Last active
              November 24, 2022 18:42
            
              
                torch-fit-plane.ipynb
              
          
    A simple PyTorch implementation of plane fitting with RANSAC. Some ideas are taken from:
https://github.com/leomariga/pyRANSAC-3D.
In each (batched-)RANSAC iteration, a batch of triplets is sampled and assessed in parallel.
A cross-product is used to get plane equations from triplets.
The refinement, post identification of inliers, is done with an eigen decomposition of P.T @ P where P is the matrix of points in homogeneous coordinates.
Classicially, an SVD decomposition of P is used but this can be slow and memory intensive with large number of points.
We thus opted for the eigen decomposition approach despite it being less numerically stable.

  
## !Muxing with meta
Hack file to get a nicer Gist name

## synthetic10bit.py
import numpy as np
import matplotlib.pyplot as plt
import imageio
url = 'https://archive.org/download/10thframekixxc64800dpi48bit/10th%20Frame%20%28Kixx%29_C64_Cassette_800dpi_48bit.tif'
im0 = imageio.imread(url)
print('im0:',np.min(im0),np.max(im0),im0.shape,im0.dtype)

im0gray = 0.299*np.float32(im0[:,:,0]) + 0.587*np.float32(im0[:,:,1]) + 0.114*np.float32(im0[:,:,2])
im0gray = im0gray / np.max(im0gray)
im1 = np.uint16(np.round( im0gray*((1<<10)-1) ))

## !spectra.md

      
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                tvercaut
                / !spectra.md
            
            
              Last active
              July 5, 2022 15:33
            
          
    Spectral information

https://omlc.org/spectra/hemoglobin/summary.html
https://omlc.org/spectra/icg/

  
## fip-playlist.m3u
#EXTM3U
#EXTINF:0,Radio France - FIP
https://stream.radiofrance.fr/fip/fip_hifi.m3u8
#EXTINF:0,Radio France - FIP Reggae
https://stream.radiofrance.fr/fipreggae/fipreggae_hifi.m3u8
#EXTINF:0,Radio France - FIP World
https://stream.radiofrance.fr/fipworld/fipworld_hifi.m3u8
#EXTINF:0,Radio France - FIP Nouveautés
https://stream.radiofrance.fr/fipnouveautes/fipnouveautes_hifi.m3u8
#EXTINF:0,Radio France - FIP Electro

## !Latex to MS Word tests
Hack file to get a nicer Gist name

## compresspdf2ebookpdf
#!/bin/sh

# Sanity checks
if ! [ -x "$(command -v gs)" ]; then
    echo "gs is not installed -> exit"
    exit 1
fi

# Define some handy options to use with ghostscript
export PDF2PDFFLAGS="-dCompatibilityLevel=1.5 -dPDFSETTINGS=/ebook -dPrinted=false -dColorConversionStrategy=/UseDeviceIndependentColor -dDownsampleColorImages=true -dDownsampleGrayImages=true -dDownsampleMonoImages=true -dMaxSubsetPct=100 -dSubsetFonts=true -dEmbedAllFonts=true -dOptimize=true -dUseFlateCompression=true -dNOPAUSE -dBATCH -sDEVICE=pdfwrite"

## fortunegenerator.html
<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN">
<html>
<head>

<!-- Get jquery -->
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>

<link href="https://fonts.googleapis.com/css?family=Lato%3A300%2C300italic%2C400%2C400italic%2C700%2C700italic" rel="stylesheet" type="text/css"/>
<link href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Source+Code+Pro:400,700" rel="stylesheet" type="text/css">
<link rel="stylesheet" href="https://www.gstatic.com/_/atari/_/ss/k=atari.vw.-2q1obhhypir7.L.W.O/d=1/rs=AGEqA5mToJSdsBqoIabxpABkzJkjFu3hJg"/>

## exp_derivative_tensorflow_test.py
#!/usr/bin/env python
from __future__ import absolute_import, division, print_function
import tensorflow as tf
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import sparse_ops

import numpy as np
import scipy.linalg
	#!/usr/bin/env python3

	import numpy as np
	import matplotlib.pyplot as plt

	def wavelength_to_rgb(wavelengths, gamma=0.8):
	'''This converts a given wavelength of light to an
	approximate RGB color value. The wavelength must be given
	in nanometers in the range from 380 nm through 750 nm
	(789 THz through 400 THz).
	import numpy as np
	import matplotlib.pyplot as plt
	import imageio
	url = 'https://archive.org/download/10thframekixxc64800dpi48bit/10th%20Frame%20%28Kixx%29_C64_Cassette_800dpi_48bit.tif'
	im0 = imageio.imread(url)
	print('im0:',np.min(im0),np.max(im0),im0.shape,im0.dtype)

	im0gray = 0.299np.float32(im0[:,:,0]) + 0.587np.float32(im0[:,:,1]) + 0.114*np.float32(im0[:,:,2])
	im0gray = im0gray / np.max(im0gray)
	im1 = np.uint16(np.round( im0gray*((1<<10)-1) ))
	#EXTM3U
	#EXTINF:0,Radio France - FIP
	https://stream.radiofrance.fr/fip/fip_hifi.m3u8
	#EXTINF:0,Radio France - FIP Reggae
	https://stream.radiofrance.fr/fipreggae/fipreggae_hifi.m3u8
	#EXTINF:0,Radio France - FIP World
	https://stream.radiofrance.fr/fipworld/fipworld_hifi.m3u8
	#EXTINF:0,Radio France - FIP Nouveautés
	https://stream.radiofrance.fr/fipnouveautes/fipnouveautes_hifi.m3u8
	#EXTINF:0,Radio France - FIP Electro
	#!/bin/sh

	# Sanity checks
	if ! [ -x "$(command -v gs)" ]; then
	echo "gs is not installed -> exit"
	exit 1
	fi

	# Define some handy options to use with ghostscript
	export PDF2PDFFLAGS="-dCompatibilityLevel=1.5 -dPDFSETTINGS=/ebook -dPrinted=false -dColorConversionStrategy=/UseDeviceIndependentColor -dDownsampleColorImages=true -dDownsampleGrayImages=true -dDownsampleMonoImages=true -dMaxSubsetPct=100 -dSubsetFonts=true -dEmbedAllFonts=true -dOptimize=true -dUseFlateCompression=true -dNOPAUSE -dBATCH -sDEVICE=pdfwrite"
	<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN">
	<html>
	<head>

	<!-- Get jquery -->
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>

	<link href="https://fonts.googleapis.com/css?family=Lato%3A300%2C300italic%2C400%2C400italic%2C700%2C700italic" rel="stylesheet" type="text/css"/>
	<link href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700\|Source+Code+Pro:400,700" rel="stylesheet" type="text/css">
	<link rel="stylesheet" href="https://www.gstatic.com/_/atari/_/ss/k=atari.vw.-2q1obhhypir7.L.W.O/d=1/rs=AGEqA5mToJSdsBqoIabxpABkzJkjFu3hJg"/>
	#!/usr/bin/env python
	from __future__ import absolute_import, division, print_function
	import tensorflow as tf
	from tensorflow.python.framework import ops
	from tensorflow.python.ops import array_ops
	from tensorflow.python.ops import sparse_ops

	import numpy as np
	import scipy.linalg