c01cfe14f5
Initial implementation of the Raspberry Pi (BCM2835) Camera Tuning Tool. All code is licensed under the BSD-2-Clause terms. Copyright (c) 2019-2020 Raspberry Pi Trading Ltd. Signed-off-by: Naushir Patuck <naush@raspberrypi.com> Acked-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com> Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
141 lines
3.8 KiB
Python
141 lines
3.8 KiB
Python
# SPDX-License-Identifier: BSD-2-Clause
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#
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# Copyright (C) 2019, Raspberry Pi (Trading) Limited
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#
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# ctt_tools.py - camera tuning tool miscellaneous
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import time
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import re
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import binascii
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import os
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import cv2
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import numpy as np
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import imutils
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import sys
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import matplotlib.pyplot as plt
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from sklearn import cluster as cluster
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from sklearn.neighbors.nearest_centroid import NearestCentroid as get_centroids
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"""
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This file contains some useful tools, the details of which aren't important to
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understanding of the code. They ar collated here to attempt to improve code
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readability in the main files.
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"""
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"""
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obtain config values, unless it doesnt exist, in which case pick default
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Furthermore, it can check if the input is the correct type
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"""
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def get_config(dictt,key,default,ttype):
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try:
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val = dictt[key]
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if ttype == 'string':
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val = str(val)
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elif ttype == 'num':
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if 'int' not in str(type(val)):
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if 'float' not in str(type(val)):
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raise ValueError
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elif ttype == 'dict':
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if type(val) != type(dictt):
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raise ValueError
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elif ttype == 'list':
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if type(val) != type([]):
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raise ValueError
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elif ttype == 'bool':
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ttype = int(bool(ttype))
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else:
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val = dictt[key]
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except (KeyError, ValueError):
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val = default
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return val
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"""
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argument parser
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"""
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def parse_input():
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arguments = sys.argv[1:]
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if len(arguments)%2 != 0:
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raise ArgError('\n\nERROR! Enter value for each arguent passed.')
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params = arguments [0::2]
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vals = arguments [1::2]
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args_dict = dict(zip(params,vals))
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json_output = get_config(args_dict,'-o',None,'string')
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directory = get_config(args_dict,'-i',None,'string')
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config = get_config(args_dict,'-c',None,'string')
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log_path = get_config(args_dict,'-l',None,'string')
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if directory == None:
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raise ArgError('\n\nERROR! No input directory given.')
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if json_output == None:
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raise ArgError('\n\nERROR! No output json given.')
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return json_output,directory,config,log_path
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"""
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custom arg and macbeth error class
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"""
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class ArgError(Exception):
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pass
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class MacbethError(Exception):
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pass
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"""
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correlation function to quantify match
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"""
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def correlate(im1,im2):
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f1 = im1.flatten()
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f2 = im2.flatten()
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cor = np.corrcoef(f1,f2)
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return cor[0][1]
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"""
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get list of files from directory
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"""
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def get_photos(directory='photos'):
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filename_list = []
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for filename in os.listdir(directory):
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if 'jp' in filename or '.dng' in filename:
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filename_list.append(filename)
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return filename_list
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"""
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display image for debugging... read at your own risk...
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"""
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def represent(img,name='image'):
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# if type(img) == tuple or type(img) == list:
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# for i in range(len(img)):
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# name = 'image {}'.format(i)
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# cv2.imshow(name,img[i])
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# else:
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# cv2.imshow(name,img)
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# cv2.waitKey(0)
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# cv2.destroyAllWindows()
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# return 0
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"""
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code above displays using opencv, but this doesn't catch users pressing 'x'
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with their mouse to close the window.... therefore matplotlib is used....
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(thanks a lot opencv)
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"""
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grid = plt.GridSpec(22,1)
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plt.subplot(grid[:19,0])
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plt.imshow(img,cmap='gray')
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plt.axis('off')
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plt.subplot(grid[21,0])
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plt.title('press \'q\' to continue')
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plt.axis('off')
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plt.show()
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# f = plt.figure()
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# ax = f.add_subplot(211)
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# ax2 = f.add_subplot(122)
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# ax.imshow(img,cmap='gray')
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# ax.axis('off')
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# ax2.set_figheight(2)
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# ax2.title('press \'q\' to continue')
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# ax2.axis('off')
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# plt.show()
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"""
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reshape image to fixed width without distorting
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returns image and scale factor
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"""
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def reshape(img,width):
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factor = width/img.shape[0]
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return cv2.resize(img,None,fx=factor,fy=factor),factor
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