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""" | |
This project incorporates track bars and image processing techniques to demonstrate | |
OpenCV's capability to process images and frames. | |
""" | |
import cv2 as cv | |
import numpy as np | |
# Image stacker utility | |
def stack_images(scale, img_array): | |
rows = len(img_array) | |
cols = len(img_array[0]) | |
rows_available = isinstance(img_array[0], list) | |
width = img_array[0][0].shape[1] | |
height = img_array[0][0].shape[0] | |
if rows_available: | |
for x in range(0, rows): | |
for y in range(0, cols): | |
if img_array[x][y].shape[:2] == img_array[0][0].shape[:2]: | |
img_array[x][y] = cv.resize(img_array[x][y], (0, 0), None, scale, scale) | |
else: | |
img_array[x][y] = cv.resize(img_array[x][y], (img_array[0][0].shape[1], img_array[0][0].shape[0]), | |
None, scale, scale) | |
if len(img_array[x][y].shape) == 2: | |
img_array[x][y] = cv.cvtColor(img_array[x][y], cv.COLOR_GRAY2BGR) | |
img_blank = np.zeros((height, width, 3), np.uint8) | |
hor = [img_blank] * rows | |
hor_con = [img_blank] * rows | |
for x in range(0, rows): | |
hor[x] = np.hstack(img_array[x]) | |
ver = np.vstack(hor) | |
else: | |
for x in range(0, rows): | |
if img_array[x].shape[:2] == img_array[0].shape[:2]: | |
img_array[x] = cv.resize(img_array[x], (0, 0), None, scale, scale) | |
else: | |
img_array[x] = cv.resize(img_array[x], (img_array[0].shape[1], img_array[0].shape[0]), None, scale, | |
scale) | |
if len(img_array[x].shape) == 2: | |
img_array[x] = cv.cvtColor(img_array[x], cv.COLOR_GRAY2BGR) | |
hor = np.hstack(img_array) | |
ver = hor | |
return ver | |
cap = cv.VideoCapture(1) | |
def color_spaces_1(): | |
def nothing(x): | |
pass | |
cv.namedWindow('Track bars') | |
cv.resizeWindow('Track bars', 640, 240) | |
cv.createTrackbar('Hue min', 'Track bars', 0, 179, nothing) | |
cv.createTrackbar('Hue max', 'Track bars', 179, 179, nothing) | |
cv.createTrackbar('Sat min', 'Track bars', 0, 255, nothing) | |
cv.createTrackbar('Sat max', 'Track bars', 255, 255, nothing) | |
cv.createTrackbar('Val min', 'Track bars', 0, 255, nothing) | |
cv.createTrackbar('Val max', 'Track bars', 255, 255, nothing) | |
cv.createTrackbar('Option', 'Track bars', 1, 15, nothing) | |
o = -1 | |
while True: | |
# Take each frame | |
ret, frame = cap.read() | |
if ret: | |
# Convert BGR to HSV | |
hsv = cv.cvtColor(frame, cv.COLOR_BGR2HSV) | |
# define range of target color in HSV | |
h_min = cv.getTrackbarPos('Hue min', 'Track bars') | |
h_max = cv.getTrackbarPos('Hue max', 'Track bars') | |
s_min = cv.getTrackbarPos('Sat min', 'Track bars') | |
s_max = cv.getTrackbarPos('Sat max', 'Track bars') | |
v_min = cv.getTrackbarPos('Val min', 'Track bars') | |
v_max = cv.getTrackbarPos('Val max', 'Track bars') | |
lower_range = np.array([h_min, s_min, v_min]) | |
upper_range = np.array([h_max, s_max, v_max]) | |
# Threshold the HSV image to get your colors | |
mask = cv.inRange(hsv, lower_range, upper_range) | |
# Bitwise-AND mask and original image | |
res = cv.bitwise_and(frame, frame, mask=mask) | |
stack = stack_images(0.6, [frame, mask, res]) | |
cv.imshow('Result', stack) | |
if cv.waitKey(1) & 0xFF == ord('q'): | |
break | |
o = cv.getTrackbarPos('Option', 'Track bars') | |
else: | |
return -2 | |
cv.destroyAllWindows() | |
cap.release() | |
return o | |
def start_up(): | |
def nothing(x): | |
pass | |
img = np.zeros((300, 512, 3), np.uint8) | |
cv.namedWindow('image') | |
cv.resizeWindow("image", 640, 240) | |
cv.createTrackbar('R', 'image', 0, 255, nothing) | |
cv.createTrackbar('G', 'image', 0, 255, nothing) | |
cv.createTrackbar('B', 'image', 0, 255, nothing) | |
switch = '0 : OFF \n1 : ON' | |
cv.createTrackbar(switch, 'image', 0, 1, nothing) | |
cv.createTrackbar('Option', 'image', 0, 15, nothing) | |
o = -1 | |
while True: | |
cv.imshow('canvas', img) | |
if cv.waitKey(1) & 0xFF == ord('q'): | |
break | |
r = cv.getTrackbarPos('R', 'image') | |
g = cv.getTrackbarPos('G', 'image') | |
b = cv.getTrackbarPos('B', 'image') | |
s = cv.getTrackbarPos(switch, 'image') | |
o = cv.getTrackbarPos('Option', 'image') | |
if s == 0: | |
img[:] = 0 | |
else: | |
img[:] = [b, g, r] | |
cv.destroyAllWindows() | |
return o | |
option = 0 | |
while 1: | |
if option == 0: | |
option = start_up() | |
elif option == 1: | |
print('Debug') | |
option = color_spaces_1() | |
elif option == -1: | |
print('Exeunt') | |
break | |
else: | |
print('Error, ret = False. Check cv.VideoCapture(webcam ID)') | |
break |
<?xml version="1.0"?> | |
<!-- | |
Stump-based 20x20 frontal eye detector. | |
Created by Shameem Hameed (http://umich.edu/~shameem) | |
//////////////////////////////////////////////////////////////////////////////////////// | |
IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. | |
By downloading, copying, installing or using the software you agree to this license. | |
If you do not agree to this license, do not download, install, | |
copy or use the software. | |
Intel License Agreement | |
For Open Source Computer Vision Library | |
Copyright (C) 2000, Intel Corporation, all rights reserved. | |
Third party copyrights are property of their respective owners. | |
Redistribution and use in source and binary forms, with or without modification, | |
are permitted provided that the following conditions are met: | |
* Redistribution's of source code must retain the above copyright notice, | |
this list of conditions and the following disclaimer. | |
* Redistribution's in binary form must reproduce the above copyright notice, | |
this list of conditions and the following disclaimer in the documentation | |
and/or other materials provided with the distribution. | |
* The name of Intel Corporation may not be used to endorse or promote products | |
derived from this software without specific prior written permission. | |
This software is provided by the copyright holders and contributors "as is" and | |
any express or implied warranties, including, but not limited to, the implied | |
warranties of merchantability and fitness for a particular purpose are disclaimed. | |
In no event shall the Intel Corporation or contributors be liable for any direct, | |
indirect, incidental, special, exemplary, or consequential damages | |
(including, but not limited to, procurement of substitute goods or services; | |
loss of use, data, or profits; or business interruption) however caused | |
and on any theory of liability, whether in contract, strict liability, | |
or tort (including negligence or otherwise) arising in any way out of | |
the use of this software, even if advised of the possibility of such damage. | |
--> | |
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<?xml version="1.0"?> | |
<!-- | |
Tree-based 20x20 frontal eye detector with better handling of eyeglasses. | |
Created by Shameem Hameed (http://umich.edu/~shameem) | |
//////////////////////////////////////////////////////////////////////////////////////// | |
IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. | |
By downloading, copying, installing or using the software you agree to this license. | |
If you do not agree to this license, do not download, install, | |
copy or use the software. | |
Intel License Agreement | |
For Open Source Computer Vision Library | |
Copyright (C) 2000, Intel Corporation, all rights reserved. | |
Third party copyrights are property of their respective owners. | |
Redistribution and use in source and binary forms, with or without modification, | |
are permitted provided that the following conditions are met: | |
* Redistribution's of source code must retain the above copyright notice, | |
this list of conditions and the following disclaimer. | |
* Redistribution's in binary form must reproduce the above copyright notice, | |
this list of conditions and the following disclaimer in the documentation | |
and/or other materials provided with the distribution. | |
* The name of Intel Corporation may not be used to endorse or promote products | |
derived from this software without specific prior written permission. | |
This software is provided by the copyright holders and contributors "as is" and | |
any express or implied warranties, including, but not limited to, the implied | |
warranties of merchantability and fitness for a particular purpose are disclaimed. | |
In no event shall the Intel Corporation or contributors be liable for any direct, | |
indirect, incidental, special, exemplary, or consequential damages | |
(including, but not limited to, procurement of substitute goods or services; | |
loss of use, data, or profits; or business interruption) however caused | |
and on any theory of liability, whether in contract, strict liability, | |
or tort (including negligence or otherwise) arising in any way out of | |
the use of this software, even if advised of the possibility of such damage. | |
--> | |
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