how to i specify the upper and the lower value of a color in HSV opencv python
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I found way to convert RGB to HSV, but still I am unable to find the upper and lower value of color. How to do i calculate that?
I have to take out the pickachu from the image
and this my code till now
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_red = np.array([30,50,50])
upper_red = np.array([255,255,180]) #it is trial and error
mask = cv2.inRange(frame, lower_red, upper_red)
res = cv2.bitwise_and(frame, frame, mask= mask)
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
please help me
python opencv hsv
edited Nov 12 at 9:13
api55
6,47032443
asked Nov 12 at 8:52
Tanay Kumar
12
add a comment |
up vote
0
down vote
favorite
I found way to convert RGB to HSV, but still I am unable to find the upper and lower value of color. How to do i calculate that?
I have to take out the pickachu from the image
and this my code till now
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_red = np.array([30,50,50])
upper_red = np.array([255,255,180]) #it is trial and error
mask = cv2.inRange(frame, lower_red, upper_red)
res = cv2.bitwise_and(frame, frame, mask= mask)
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
please help me
python opencv hsv
edited Nov 12 at 9:13
api55
6,47032443
asked Nov 12 at 8:52
Tanay Kumar
12
1
Possible duplicate of How to convert a single BGR array to HSV array in Python with OpenCV?
– Dan Mašek
Nov 12 at 8:57
so, what color do you want to extract? Yellow? That is around Hue = 60, so in openCV (at least C++, not sure about python) it is around hue = 30. Try lower = np.array([20,50,50]) upper = np.array([40,255,255])
– Micka
Nov 12 at 8:58
stackoverflow.com/users/2393191/micka thank you but still some above portion on the right side is till not visible
– Tanay Kumar
Nov 12 at 9:16
try allowing smaller saturation and value (2nd and 3rd param in lower range) and/or allow more hue variation.
– Micka
Nov 12 at 10:13
Possible duplicate of Choosing the correct upper and lower HSV boundaries for color detection with`cv::inRange` (OpenCV)
– Silencer 金
Nov 13 at 0:33
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I found way to convert RGB to HSV, but still I am unable to find the upper and lower value of color. How to do i calculate that?
I have to take out the pickachu from the image
and this my code till now
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_red = np.array([30,50,50])
upper_red = np.array([255,255,180]) #it is trial and error
mask = cv2.inRange(frame, lower_red, upper_red)
res = cv2.bitwise_and(frame, frame, mask= mask)
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
please help me
python opencv hsv
edited Nov 12 at 9:13
api55
6,47032443
asked Nov 12 at 8:52
Tanay Kumar
12
I found way to convert RGB to HSV, but still I am unable to find the upper and lower value of color. How to do i calculate that?
I have to take out the pickachu from the image
and this my code till now
import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_red = np.array([30,50,50])
upper_red = np.array([255,255,180]) #it is trial and error
mask = cv2.inRange(frame, lower_red, upper_red)
res = cv2.bitwise_and(frame, frame, mask= mask)
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
please help me
python opencv hsv
python opencv hsv
edited Nov 12 at 9:13
api55
6,47032443
asked Nov 12 at 8:52
Tanay Kumar
12
edited Nov 12 at 9:13
api55
6,47032443
asked Nov 12 at 8:52
Tanay Kumar
12
edited Nov 12 at 9:13
api55
6,47032443
edited Nov 12 at 9:13
api55
6,47032443
edited Nov 12 at 9:13
api55
6,47032443
6,47032443
asked Nov 12 at 8:52
Tanay Kumar
12
asked Nov 12 at 8:52
Tanay Kumar
12
asked Nov 12 at 8:52
Tanay Kumar
12
12
1
Possible duplicate of How to convert a single BGR array to HSV array in Python with OpenCV?
– Dan Mašek
Nov 12 at 8:57
so, what color do you want to extract? Yellow? That is around Hue = 60, so in openCV (at least C++, not sure about python) it is around hue = 30. Try lower = np.array([20,50,50]) upper = np.array([40,255,255])
– Micka
Nov 12 at 8:58
stackoverflow.com/users/2393191/micka thank you but still some above portion on the right side is till not visible
– Tanay Kumar
Nov 12 at 9:16
try allowing smaller saturation and value (2nd and 3rd param in lower range) and/or allow more hue variation.
– Micka
Nov 12 at 10:13
Possible duplicate of Choosing the correct upper and lower HSV boundaries for color detection with`cv::inRange` (OpenCV)
– Silencer 金
Nov 13 at 0:33
add a comment |
1
Possible duplicate of How to convert a single BGR array to HSV array in Python with OpenCV?
– Dan Mašek
Nov 12 at 8:57
so, what color do you want to extract? Yellow? That is around Hue = 60, so in openCV (at least C++, not sure about python) it is around hue = 30. Try lower = np.array([20,50,50]) upper = np.array([40,255,255])
– Micka
Nov 12 at 8:58
stackoverflow.com/users/2393191/micka thank you but still some above portion on the right side is till not visible
– Tanay Kumar
Nov 12 at 9:16
try allowing smaller saturation and value (2nd and 3rd param in lower range) and/or allow more hue variation.
– Micka
Nov 12 at 10:13
Possible duplicate of Choosing the correct upper and lower HSV boundaries for color detection with`cv::inRange` (OpenCV)
– Silencer 金
Nov 13 at 0:33
1
1
Possible duplicate of How to convert a single BGR array to HSV array in Python with OpenCV?
– Dan Mašek
Nov 12 at 8:57
Possible duplicate of How to convert a single BGR array to HSV array in Python with OpenCV?
– Dan Mašek
Nov 12 at 8:57
so, what color do you want to extract? Yellow? That is around Hue = 60, so in openCV (at least C++, not sure about python) it is around hue = 30. Try lower = np.array([20,50,50]) upper = np.array([40,255,255])
– Micka
Nov 12 at 8:58
so, what color do you want to extract? Yellow? That is around Hue = 60, so in openCV (at least C++, not sure about python) it is around hue = 30. Try lower = np.array([20,50,50]) upper = np.array([40,255,255])
– Micka
Nov 12 at 8:58
stackoverflow.com/users/2393191/micka thank you but still some above portion on the right side is till not visible
– Tanay Kumar
Nov 12 at 9:16
stackoverflow.com/users/2393191/micka thank you but still some above portion on the right side is till not visible
– Tanay Kumar
Nov 12 at 9:16
try allowing smaller saturation and value (2nd and 3rd param in lower range) and/or allow more hue variation.
– Micka
Nov 12 at 10:13
try allowing smaller saturation and value (2nd and 3rd param in lower range) and/or allow more hue variation.
– Micka
Nov 12 at 10:13
Possible duplicate of Choosing the correct upper and lower HSV boundaries for color detection with`cv::inRange` (OpenCV)
– Silencer 金
Nov 13 at 0:33
Possible duplicate of Choosing the correct upper and lower HSV boundaries for color detection with`cv::inRange` (OpenCV)
– Silencer 金
Nov 13 at 0:33
add a comment |
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1
Possible duplicate of How to convert a single BGR array to HSV array in Python with OpenCV?
– Dan Mašek
Nov 12 at 8:57
so, what color do you want to extract? Yellow? That is around Hue = 60, so in openCV (at least C++, not sure about python) it is around hue = 30. Try lower = np.array([20,50,50]) upper = np.array([40,255,255])
– Micka
Nov 12 at 8:58
stackoverflow.com/users/2393191/micka thank you but still some above portion on the right side is till not visible
– Tanay Kumar
Nov 12 at 9:16
try allowing smaller saturation and value (2nd and 3rd param in lower range) and/or allow more hue variation.
– Micka
Nov 12 at 10:13
Possible duplicate of Choosing the correct upper and lower HSV boundaries for color detection with`cv::inRange` (OpenCV)
– Silencer 金
Nov 13 at 0:33