linarphy
fcb3172399
Start of the transition from jupyter to plain python. Still WIP ! For now, only give the cropped image.
69 lines
1.6 KiB
Python
69 lines
1.6 KiB
Python
import numpy as np
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import utils
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import sys
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data = utils.load( sys.argv[1] )
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"""
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find fill points
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"""
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points = []
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points += utils.find_point( data[ : , 0 ] , 0 ) # x_min
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points += utils.find_point(
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data[ : , data.shape[1] - 1 ],
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data.shape[1] - 1 ,
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) # x_max
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index_min = 0
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while data.shape[0] - 1 > index_min:
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index_min += 1
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if len( utils.find_point( data[ index_min , : ] , index_min , 'y' ) ) == 3:
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break
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points.append(
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utils.find_point( data[ index_min , : ] , index_min , 'y' )[1]
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) # y_min
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index_max = data.shape[0] - 1
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while index_min < index_max:
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index_max -= 1
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if len( utils.find_point( data[ index_max , : ] , index_max , 'y' ) ) == 3:
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break
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points.append(
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utils.find_point( data[ index_max , : ] , index_max , 'y' )[1]
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) # y_max
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small_data = utils.compress( data , 5 )
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points = utils.big_to_small( points , 5 )
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points[ 1 ][ 1 ] -= 1
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points[ 3 ][ 0 ] -= 1
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extremum = []
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for point in points:
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taken_points = utils.small_to_big( utils.fill( small_data , point , 1000 ) , 5 )
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extremum.append( [
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np.min( taken_points[ : , 1 ] ),
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np.max( taken_points[ : , 1 ] ),
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np.min( taken_points[ : , 0 ] ),
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np.max( taken_points[ : , 0 ] ),
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] )
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border = {
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'x': {
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'min': extremum[0][1] + 1,
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'max': extremum[1][0] ,
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},
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'y': {
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'min': extremum[2][3] + 1,
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'max': extremum[3][2] ,
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},
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}
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import matplotlib.pyplot as plt
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plt.imshow( data[ border[ 'y' ][ 'min' ] : border[ 'y' ][ 'max' ] , border[ 'x' ][ 'min' ] : border[ 'x' ][ 'max' ] ] )
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plt.savefig( 'test.png' )
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