diff options
author | Naushir Patuck <naush@raspberrypi.com> | 2020-05-03 16:49:53 +0100 |
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committer | Laurent Pinchart <laurent.pinchart@ideasonboard.com> | 2020-05-11 23:54:45 +0300 |
commit | c01cfe14f5540ba96b458088185ac7ae90bb3534 (patch) | |
tree | f9112e0195de83ea1b20cf81cb62144cd50174f9 /utils/raspberrypi/ctt/ctt_tools.py | |
parent | 0db2c8dc75e466e7648dc1b95380495c6a126349 (diff) |
libcamera: utils: Raspberry Pi Camera Tuning Tool
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>
Diffstat (limited to 'utils/raspberrypi/ctt/ctt_tools.py')
-rw-r--r-- | utils/raspberrypi/ctt/ctt_tools.py | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/utils/raspberrypi/ctt/ctt_tools.py b/utils/raspberrypi/ctt/ctt_tools.py new file mode 100644 index 00000000..5a5cf54d --- /dev/null +++ b/utils/raspberrypi/ctt/ctt_tools.py @@ -0,0 +1,141 @@ +# SPDX-License-Identifier: BSD-2-Clause +# +# Copyright (C) 2019, Raspberry Pi (Trading) Limited +# +# ctt_tools.py - camera tuning tool miscellaneous + +import time +import re +import binascii +import os +import cv2 +import numpy as np +import imutils +import sys +import matplotlib.pyplot as plt +from sklearn import cluster as cluster +from sklearn.neighbors.nearest_centroid import NearestCentroid as get_centroids + +""" +This file contains some useful tools, the details of which aren't important to +understanding of the code. They ar collated here to attempt to improve code +readability in the main files. +""" + +""" +obtain config values, unless it doesnt exist, in which case pick default +Furthermore, it can check if the input is the correct type +""" +def get_config(dictt,key,default,ttype): + try: + val = dictt[key] + if ttype == 'string': + val = str(val) + elif ttype == 'num': + if 'int' not in str(type(val)): + if 'float' not in str(type(val)): + raise ValueError + elif ttype == 'dict': + if type(val) != type(dictt): + raise ValueError + elif ttype == 'list': + if type(val) != type([]): + raise ValueError + elif ttype == 'bool': + ttype = int(bool(ttype)) + else: + val = dictt[key] + except (KeyError, ValueError): + val = default + return val +""" +argument parser +""" +def parse_input(): + arguments = sys.argv[1:] + if len(arguments)%2 != 0: + raise ArgError('\n\nERROR! Enter value for each arguent passed.') + params = arguments [0::2] + vals = arguments [1::2] + args_dict = dict(zip(params,vals)) + json_output = get_config(args_dict,'-o',None,'string') + directory = get_config(args_dict,'-i',None,'string') + config = get_config(args_dict,'-c',None,'string') + log_path = get_config(args_dict,'-l',None,'string') + if directory == None: + raise ArgError('\n\nERROR! No input directory given.') + if json_output == None: + raise ArgError('\n\nERROR! No output json given.') + return json_output,directory,config,log_path +""" +custom arg and macbeth error class +""" +class ArgError(Exception): + pass +class MacbethError(Exception): + pass + +""" +correlation function to quantify match +""" +def correlate(im1,im2): + f1 = im1.flatten() + f2 = im2.flatten() + cor = np.corrcoef(f1,f2) + return cor[0][1] + +""" +get list of files from directory +""" +def get_photos(directory='photos'): + filename_list = [] + for filename in os.listdir(directory): + if 'jp' in filename or '.dng' in filename: + filename_list.append(filename) + return filename_list + +""" +display image for debugging... read at your own risk... +""" +def represent(img,name='image'): + # if type(img) == tuple or type(img) == list: + # for i in range(len(img)): + # name = 'image {}'.format(i) + # cv2.imshow(name,img[i]) + # else: + # cv2.imshow(name,img) + # cv2.waitKey(0) + # cv2.destroyAllWindows() + # return 0 + """ + code above displays using opencv, but this doesn't catch users pressing 'x' + with their mouse to close the window.... therefore matplotlib is used.... + (thanks a lot opencv) + """ + grid = plt.GridSpec(22,1) + plt.subplot(grid[:19,0]) + plt.imshow(img,cmap='gray') + plt.axis('off') + plt.subplot(grid[21,0]) + plt.title('press \'q\' to continue') + plt.axis('off') + plt.show() + + # f = plt.figure() + # ax = f.add_subplot(211) + # ax2 = f.add_subplot(122) + # ax.imshow(img,cmap='gray') + # ax.axis('off') + # ax2.set_figheight(2) + # ax2.title('press \'q\' to continue') + # ax2.axis('off') + # plt.show() + + +""" +reshape image to fixed width without distorting +returns image and scale factor +""" +def reshape(img,width): + factor = width/img.shape[0] + return cv2.resize(img,None,fx=factor,fy=factor),factor |