Alex Rothberg cancan101

## perspective-quadrilateral.ipynb

      
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                cancan101
                / perspective-quadrilateral.ipynb
            
            
              Created
              May 1, 2014 23:48
            
              
                Automatic perspective correction for quadrilateral objects
              
          
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## load_gif_url.py
from PIL import Image
import requests
import tempfile

def load_gif_url(url):
    with tempfile.NamedTemporaryFile(suffix=".gif") as f:
        f.write(requests.get(url).content)
        f.flush()
        img = Image.open(f.name)

## image_utils.py
def get_bw(src):
    return cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)

def show_color(src):
    plt.imshow(cv2.cvtColor(src, cv2.COLOR_BGR2RGB))
    _ = plt.xticks([]), plt.yticks([])

def show_bw(bw):
    plt.imshow(bw, cmap='gray')
    _ = plt.xticks([]), plt.yticks([])

## get_state_v0.py
def get_state_v0(state):
    url = make_url(state)

    IN = load_gif_url(url)

    #Drop the text at the top
    IN = IN[150:]

    #Convert 3 color channels to 1
    IN_bw = get_bw(IN)

## get_state_v1.py
def get_state_v1(state):
    url = make_url(state)

    IN = load_gif_url(url)

    #Drop the text at the top
    IN = IN[150:]

    #Convert 3 color channels to 1
    IN_bw = get_bw(IN)

## Map Recognition.ipynb

      
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                cancan101
                / Map Recognition.ipynb
            
            
              Last active
              August 29, 2015 14:01
            
              
                Notebook Demonstrating Technique to Identify US State Maps
              
          
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## MLP Hu.ipynb

      
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                cancan101
                / MLP Hu.ipynb
            
            
              Created
              July 21, 2014 06:59
            
              
                Notebook Demonstrating Using MLPs to Classify State Map Images
              
          
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## Linear Interpolator Test Pub.ipynb

      
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                cancan101
                / Linear Interpolator Test Pub.ipynb
            
            
              Created
              August 12, 2014 04:42
            
              
                Linear Interpolator Test
              
          
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## .numpy-site.cfg
[default]
library_dirs = /usr/local/lib
[atlas]
atlas_libs = openblas
library_dirs = /usr/local/lib
[lapack]
lapack_libs = openblas
library_dirs = /usr/local/lib
[openblas]
libraries = openblas

## broken_convfft.py
import os
os.environ['THEANO_FLAGS']="optimizer_including=conv_fft_valid:conv_fft_full"

from pylearn2.config import yaml_parse
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix
import numpy as np


train_str = """!obj:pylearn2.train.Train {
    dataset: &train !import '__main__ .train_set',
	from PIL import Image
	import requests
	import tempfile

	def load_gif_url(url):
	with tempfile.NamedTemporaryFile(suffix=".gif") as f:
	f.write(requests.get(url).content)
	f.flush()
	img = Image.open(f.name)
	def get_bw(src):
	return cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)

	def show_color(src):
	plt.imshow(cv2.cvtColor(src, cv2.COLOR_BGR2RGB))
	_ = plt.xticks([]), plt.yticks([])

	def show_bw(bw):
	plt.imshow(bw, cmap='gray')
	_ = plt.xticks([]), plt.yticks([])
	def get_state_v0(state):
	url = make_url(state)

	IN = load_gif_url(url)

	#Drop the text at the top
	IN = IN[150:]

	#Convert 3 color channels to 1
	IN_bw = get_bw(IN)
	def get_state_v1(state):
	url = make_url(state)

	IN = load_gif_url(url)

	#Drop the text at the top
	IN = IN[150:]

	#Convert 3 color channels to 1
	IN_bw = get_bw(IN)
	[default]
	library_dirs = /usr/local/lib
	[atlas]
	atlas_libs = openblas
	library_dirs = /usr/local/lib
	[lapack]
	lapack_libs = openblas
	library_dirs = /usr/local/lib
	[openblas]
	libraries = openblas
	import os
	os.environ['THEANO_FLAGS']="optimizer_including=conv_fft_valid:conv_fft_full"

	from pylearn2.config import yaml_parse
	from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix
	import numpy as np


	train_str = """!obj:pylearn2.train.Train {
	dataset: &train !import '__main__ .train_set',