Lee Kamentsky LeeKamentsky

## yea_nay.ipynb

      
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                LeeKamentsky
                / yea_nay.ipynb
            
            
              Created
              June 11, 2018 13:01
            
              
                nuggt.yea_nay example
              
          
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## neuroglancer-alignment.ipynb

      
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                LeeKamentsky
                / neuroglancer-alignment.ipynb
            
            
              Created
              April 13, 2018 12:41
            
              
                Neuroglancer for alignment inspection
              
          
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## label_centers.py
def centers(l):
    z, y, x = np.where(l > 0)
    a = np.bincount(l[z, y, x])
    xx = np.bincount(l[z, y, x], x)
    yy = np.bincount(l[z, y, x], y)
    zz = np.bincount(l[z, y, x], z)
    return np.column_stack(
        (zz.astype(float) / a, yy.astype(float) / a, xx.astype(float) / a))

## keybase.md

      
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                LeeKamentsky
                / keybase.md
            
            
              Created
              November 15, 2016 19:42
            
          
    Keybase proof

I hereby claim:

I am LeeKamentsky on github.
I am leek (https://keybase.io/leek) on keybase.
I have a public key whose fingerprint is 3121 F2B2 72A5 B170 CDD2  354C 9B73 EE8C 668F 943B

To claim this, I am signing this object:

  
## warp.ipynb

      
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                LeeKamentsky
                / warp.ipynb
            
            
              Created
              September 16, 2016 18:28
            
          
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## cudasift.ipynb

      
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                LeeKamentsky
                / cudasift.ipynb
            
            
              Created
              April 22, 2016 19:49
            
          
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## AQLM_Machine_Learning.ipynb

      
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                / AQLM_Machine_Learning.ipynb
            
            
              Last active
              February 28, 2017 22:49
            
          
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## AQLM_2016.ipynb

      
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                LeeKamentsky
                / AQLM_2016.ipynb
            
            
              Last active
              November 28, 2016 15:57
            
              
                AQLM 2016 presentation on image analysis
              
          
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## kirsch.py
def rotate(direction, index):
            return direction[-index:] + direction[:-index]

def make_kernel(convolution_mask):
    k = list(convolution_mask)
    k.insert(4, 0)
    return np.array(k).reshape(3, 3)

def kirsch(img):
    convolution_mask = [5, -3, -3, -3, -3, -3, 5, 5]

## ASCIICP.txt
                                     oMMy
+++++++++++++++++++++++++++++++++++++hMMd++++++++++++++++++++++++++++++++++++++++++++++++++++:
MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMh
MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMh
MMMsooooooooooohMMMNNMMMMMMMmdyyhyhhhmMMmhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhdddMMMMMMMMMMh
MMM:-----------oMMMh+sdNMMMMMNdhsoooohMMdoooooooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
MMM/-----------oMMMh/:/+sdNMMMMMNNdyshMMdoooooooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
MMM/-----------:hMMd/:-:::/ohmNMMMMMNNMMmsooooooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
MMM/::::::::::::hMMd/:---::::/+shdNMMMMMMNmdyyooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
MMM/::::::::::::hMMd/-----:::::://+oyhmNNMMMMMNNdhhssoooooooooooooooosssssssssssyyhMMMMMMMMMMh
	def centers(l):
	z, y, x = np.where(l > 0)
	a = np.bincount(l[z, y, x])
	xx = np.bincount(l[z, y, x], x)
	yy = np.bincount(l[z, y, x], y)
	zz = np.bincount(l[z, y, x], z)
	return np.column_stack(
	(zz.astype(float) / a, yy.astype(float) / a, xx.astype(float) / a))
	def rotate(direction, index):
	return direction[-index:] + direction[:-index]

	def make_kernel(convolution_mask):
	k = list(convolution_mask)
	k.insert(4, 0)
	return np.array(k).reshape(3, 3)

	def kirsch(img):
	convolution_mask = [5, -3, -3, -3, -3, -3, 5, 5]
	oMMy
	+++++++++++++++++++++++++++++++++++++hMMd++++++++++++++++++++++++++++++++++++++++++++++++++++:
	MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMh
	MMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMMh
	MMMsooooooooooohMMMNNMMMMMMMmdyyhyhhhmMMmhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhdddMMMMMMMMMMh
	MMM:-----------oMMMh+sdNMMMMMNdhsoooohMMdoooooooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
	MMM/-----------oMMMh/:/+sdNMMMMMNNdyshMMdoooooooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
	MMM/-----------:hMMd/:-:::/ohmNMMMMMNNMMmsooooooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
	MMM/::::::::::::hMMd/:---::::/+shdNMMMMMMNmdyyooooooooooooooooooooooosssssssssssyyhMMMMMMMMMMh
	MMM/::::::::::::hMMd/-----:::::://+oyhmNNMMMMMNNdhhssoooooooooooooooosssssssssssyyhMMMMMMMMMMh