def/b-content
Archived
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity

Удалить color.py

Browse source
This commit is contained in:
def 2022-03-13 21:20:13 +00:00
parent 7f6ed1cc88
commit dc29dd5790
1 changed files with 0 additions and 76 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

76
ai/color.py
View file

@ -1,76 +0,0 @@
from __future__ import division
import cv2
import numpy as np
def nothing(*arg):
pass
# Initial HSV GUI slider values to load on program start.
icol = (36, 202, 59, 71, 255, 255) # Green
#icol = (18, 0, 196, 36, 255, 255) # Yellow
#icol = (89, 0, 0, 125, 255, 255) # Blue
#icol = (0, 100, 80, 10, 255, 255) # Red
cv2.namedWindow('colorTest')
# Lower range colour sliders.
cv2.createTrackbar('lowHue', 'colorTest', icol[0], 255, nothing)
cv2.createTrackbar('lowSat', 'colorTest', icol[1], 255, nothing)
cv2.createTrackbar('lowVal', 'colorTest', icol[2], 255, nothing)
# Higher range colour sliders.
cv2.createTrackbar('highHue', 'colorTest', icol[3], 255, nothing)
cv2.createTrackbar('highSat', 'colorTest', icol[4], 255, nothing)
cv2.createTrackbar('highVal', 'colorTest', icol[5], 255, nothing)
# Raspberry pi file path example.
frame = cv2.imread('box.png')
# Windows file path example.
#frame = cv2.imread('colour-circles-test.jpg')
while True:
# Get HSV values from the GUI sliders.
lowHue = cv2.getTrackbarPos('lowHue', 'colorTest')
lowSat = cv2.getTrackbarPos('lowSat', 'colorTest')
lowVal = cv2.getTrackbarPos('lowVal', 'colorTest')
highHue = cv2.getTrackbarPos('highHue', 'colorTest')
highSat = cv2.getTrackbarPos('highSat', 'colorTest')
highVal = cv2.getTrackbarPos('highVal', 'colorTest')
# Show the original image.
cv2.imshow('frame', frame)
# Blur methods available, comment or uncomment to try different blur methods.
frameBGR = cv2.GaussianBlur(frame, (7, 7), 0)
#frameBGR = cv2.medianBlur(frameBGR, 7)
#frameBGR = cv2.bilateralFilter(frameBGR, 15 ,75, 75)
"""kernal = np.ones((15, 15), np.float32)/255
frameBGR = cv2.filter2D(frameBGR, -1, kernal)"""
# Show blurred image.
cv2.imshow('blurred', frameBGR)
# HSV (Hue, Saturation, Value).
# Convert the frame to HSV colour model.
hsv = cv2.cvtColor(frameBGR, cv2.COLOR_BGR2HSV)
# HSV values to define a colour range.
colorLow = np.array([lowHue,lowSat,lowVal])
colorHigh = np.array([highHue,highSat,highVal])
mask = cv2.inRange(hsv, colorLow, colorHigh)
# Show the first mask
#cv2.imshow('mask-plain', mask)
kernal = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (7, 7))
mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernal)
mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernal)
# Show morphological transformation mask
#cv2.imshow('mask', mask)
# Put mask over top of the original image.
#result = cv2.bitwise_and(frame, frame, mask = mask)
# Show final output image
cv2.imshow('colorTest', result)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break