From c01cfe14f5540ba96b458088185ac7ae90bb3534 Mon Sep 17 00:00:00 2001
From: Naushir Patuck <naush@raspberrypi.com>
Date: Sun, 3 May 2020 16:49:53 +0100
Subject: 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>
---
 utils/raspberrypi/ctt/ctt_tools.py | 141 +++++++++++++++++++++++++++++++++++++
 1 file changed, 141 insertions(+)
 create mode 100644 utils/raspberrypi/ctt/ctt_tools.py

(limited to 'utils/raspberrypi/ctt/ctt_tools.py')

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
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