Heres some of the code that was totally 'linked in the description' #im suffering def stackImages(scale, imgArray): rows = len(imgArray) cols = len(imgArray[0]) rowsAvailable = isinstance(imgArray[0], list) width =imgArray[0][0].shape[1] height = imgArray[0][0].shape[0] if rowsAvailable: for x in range (0, rows): for y in range(0, cols): if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]: imgArray[x][y] = cv2.resize(imgArray[x][y], (0,0), None, scale, scale) else: imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale) if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR) imageBlank = np.zeros((height, width, 3), np.uint8) hor = [imageBlank]*rows hor_con = [imageBlank] *rows for x in range (0,rows): hor[x] = np.hstack(imgArray[x]) ver = np.vstack(hor) else: for x in range(0,rows): if imgArray[x].shape[:2] == imgArray[0].shape[:2]: imgArray[x] = cv2.resize(imgArray[x], (0,0), None, scale, scale) else: imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0]), None, scale, scale) if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR) hor = np.hstack(imgArray) ver = hor return ver
A most interesting OpenCV video. I have a new Orange Pi-5 SBC and would like to do some OpenCV Python examples on it. The Raspberry Pi-4 has a wealth of examples to practice with first. This wonderful Tutorial Shape Detection lesson [9] will be very helpful. 😎 Thank you.
Can you give me the link for this course, the link in description just redirects me to the new website of yours. I cant find this particular project there. Thanks
by now, already have image stack function support by library? so we don't need your custime fuction? library function like below? stacked = np.hstack((frame, foregroundPart, frameCopy))
Thanks for the informative video, can u help me once...how could i label the individual objects? Actually i want to calculate how many objects and their total area.
I am little confuse here? Is it calculating are of the bounding box around the object or area of the object itself? I think it's calculating of bounding box? Btw the tutorial is good ❤️💯
Is this AWESOME! but i cant find this code in website,,,,, also i dont know this opencv's version,, i want slove error plz answer my Q i wait your answer,,
What a great tutorial! You are really saving my grades right now! I've just gotta apply this to only the pip symbols on playing cards. Which of the links in the description leads to the imgStack function?
Hello sir, I have one doubt on ..."is it possible to identification of object in sort manner like....example on one table 5-6 different nd same objects are there, in that 2 glass are at different corners...so i want to show that was not proper that 2 glasses should be placed in one place. Like that i have to show through objects detection is it feasible? Looking for your suggestions Thank you
First, I gave you a LIKE! , Second: I have a question, What code(s) can we use to get the poinst (x,y) of the shape to draw (after) the shape in Autocad?? Thanks for the answer!
Anyone knows how to find out the coordinates of the shapes detected? Any help would be really appreciated. Also the tutorial's really really helpful. Thanks!
this is really great video, just wondering as a next step can we name them as what are these objects? like detecting them as a certain type of object, that is classifying it as a car, scissors and rectangle etc? that will be great help
i have a problem where if there's nothing is detected it will error. especially when i remove the object from camera view. it is either from lines convert into gray or in get contour lines where it says expecting 2 argument received 0.
Hi there! I have got a question: I am looking for an algorithm which gives a proposal on the region of interest in an image. Based on this proposal I want then to run an object detection. Is this video now more a "proposal on the region of interest" or is it alreday the "object detection"? Thanks! :-)
If I use my normal laptop webcam is not detecting properly the objects. I have to take it really close to the screen, then I am getting the details properly. Is there anything wrong with how I am doing it
i'm tryng to run the code but i'm getting cv2.error: OpenCV(4.3.0) /io/opencv/modules/highgui/src/window_QT.cpp:462: error: (-27:Null pointer) NULL window handler in function 'icvFindTrackBarByName'
Thank you very much@@ I have a question about your video. I wanna detect shapes of objects from video files. so I add the code that below. But it doesn't work. what is the problem? cap = cv2.VideoCapture('../2.mp4') while True: success, img = cap.read()
Your file might not be in the correct folder. Try the code in the link for the video . github.com/murtazahassan/OpenCV-Python-Tutorials-for-Beginners/blob/master/Basics/Read_Image_Video_Webcam.py If you are still unable to run . Share the error message and i will have a look .
it seems a matter of how you aproximate the contour, and the shape you draw around it. Maybe there's a function to measure the angles between the segments, and maybe you can compare the are and the perimeter, to see if they are compatible with a circle.
By the way, the link you claimed to give in the video(s) are broken :). I had to copy 45 lines of complicated code from a freakinf 144p screen, and i just hope that nobody else had to go throught that, because by the end, i just gave up on the project entirely. I dont know how to get access to the code, but PLEASE PLEASE PLEASE FIX THE LINK!!!!!! (good video btw)
@@jericreyechavez9 You can follow this tutorial ( ua-cam.com/video/dZ4itBvIjVY/v-deo.html ) with the full body cascade which should give you a bounding box around a human body. Then u could used a fixed coefficient for pixel to cm to find the height. Your camera and target position should be fixed though.
Corrected piece of code: def stackImages(scale, imgArray): rows = len(imgArray) cols = len(imgArray[0]) rowsAvailable = isinstance(imgArray[0], list) width =imgArray[0][0].shape[1] height = imgArray[0][0].shape[0] if rowsAvailable: for x in range (0, rows): for y in range(0, cols): if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]: imgArray[x][y] = cv2.resize(imgArray[x][y], (0,0), None, scale, scale) else: imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale) if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR) imageBlank = np.zeros((height, width, 3), np.uint8) hor = [imageBlank]*rows hor_con = [imageBlank] *rows for x in range (0,rows): hor[x] = np.hstack(imgArray[x]) ver = np.vstack(hor) else: for x in range(0,rows): if imgArray[x].shape[:2] == imgArray[0].shape[:2]: imgArray[x] = cv2.resize(imgArray[x], (0,0), None, scale, scale) else: imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale) if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR) hor = np.hstack(imgArray) ver = hor return ver
you can use the face dlib to get the contours. If you want to use this method in the video, then its better to first detect the face and eye using the haarcascade method. (here is the tutorial).
File "d:\J.A.R.V.I.S\jarvis.py", line 384, in getContours(imgDil, imgContour) File "d:\J.A.R.V.I.S\jarvis.py", line 172, in getContours cv2.rectangle(imgContour, (x, y), (x + w + y + h), (0, 255, 0), 5) TypeError: function takes exactly 4 arguments (2 given) I am getting this error pls help me..... (in that qr code script same error is coming named "TypeError: function takes exactly 2 arguments (3 given) I am using python 3.9.2
Heres some of the code that was totally 'linked in the description'
#im suffering
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width =imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range (0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0,0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank] *rows
for x in range (0,rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0,rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0,0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0]), None, scale, scale)
if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
Моє шанування! Прекрасні уроки, дякую!
I can't thank you enough for this!
Incredible and very well explained tutorial
Glad you liked it!
A most interesting OpenCV video. I have a new Orange Pi-5 SBC and would like to do some OpenCV Python examples on it. The Raspberry Pi-4 has a wealth of examples to practice with first. This wonderful Tutorial Shape Detection lesson [9] will be very helpful. 😎 Thank you.
Thank you so much for the clear explanation. I am currently working on a project,This will definitely help me.
You're welcome. Good luck with your project.
So do i
@Ajay Nair What is the use of it?
I appreciate the little adjustments before using the "main" feature detector more and more
Thank you for explaining it in such an easy and simple way. A Must watch video for everyone. ❤️
Can you give me the link for this course, the link in description just redirects me to the new website of yours. I cant find this particular project there. Thanks
i love you you are awesome, the best videos on youtube for computer vision!
GREAT TO HAVE THIS ON UA-cam SIR
Thank you my friend. It took an hour to translate from python to C++ but I made it
by now, already have image stack function support by library? so we don't need your custime fuction? library function like below? stacked = np.hstack((frame, foregroundPart, frameCopy))
Thanks for the informative video, can u help me once...how could i label the individual objects? Actually i want to calculate how many objects and their total area.
I am little confuse here? Is it calculating are of the bounding box around the object or area of the object itself?
I think it's calculating of bounding box?
Btw the tutorial is good ❤️💯
Thank you so much
You help me to start with my final year project idea
I just need to know how can I crop each rectangle and show it as many photos
Is this AWESOME! but i cant find this code in website,,,,, also i dont know this opencv's version,, i want slove error plz answer my Q i wait your answer,,
What a great tutorial! You are really saving my grades right now! I've just gotta apply this to only the pip symbols on playing cards. Which of the links in the description leads to the imgStack function?
This Channel deserve more Subscribes than it has..!!
Hello sir,
I have one doubt on ..."is it possible to identification of object in sort manner like....example on one table 5-6 different nd same objects are there, in that 2 glass are at different corners...so i want to show that was not proper that 2 glasses should be placed in one place. Like that i have to show through objects detection is it feasible?
Looking for your suggestions
Thank you
When I click the link to get the code, it says the webpage has been moved. How can I obtain the code? Anyone has a direct link?
great work Dr Murtaza, is it possible to like this work with think speak to show the detection of the object.thanks in advance
Can't you use the Numpy function "hstack" (like this: "images = np.hstack((img1, img2))") instead of creating a new function called "stackedImages" ?
Great tutorial Thank you very much, Unfortunately, The reference code is not available in the links. So i had to type all from the beginning.
exactly what i was looking for thank you a million! subbed
Gald it was helpful
First, I gave you a LIKE! , Second: I have a question, What code(s) can we use to get the poinst (x,y) of the shape to draw (after) the shape in Autocad?? Thanks for the answer!
Everything is clear now. Thanks :)
Good contribution, I have a question, how you can transform the area that you get with the function into a value of square meters? Thank you
Anyone knows how to find out the coordinates of the shapes detected? Any help would be really appreciated. Also the tutorial's really really helpful. Thanks!
hi, whats happens the area value if object moving opposite the camare direction?
this is really great video, just wondering as a next step can we name them as what are these objects? like detecting them as a certain type of object, that is classifying it as a car, scissors and rectangle etc? that will be great help
Yolo does that for you.
@@anupambanerjee8336 it does not do automatically, we have to train it, which is what i want to learn too
i have a problem where if there's nothing is detected it will error. especially when i remove the object from camera view. it is either from lines convert into gray or in get contour lines where it says expecting 2 argument received 0.
Greate tutorial, thanks lot
Project is good ❤️....But How to detect size in mm like width and height ....
Hi there! I have got a question: I am looking for an algorithm which gives a proposal on the region of interest in an image. Based on this proposal I want then to run an object detection. Is this video now more a "proposal on the region of interest" or is it alreday the "object detection"? Thanks! :-)
If I use my normal laptop webcam is not detecting properly the objects. I have to take it really close to the screen, then I am getting the details properly. Is there anything wrong with how I am doing it
i'm tryng to run the code but i'm getting
cv2.error: OpenCV(4.3.0) /io/opencv/modules/highgui/src/window_QT.cpp:462: error: (-27:Null pointer) NULL window handler in function 'icvFindTrackBarByName'
Try pasting this error code in google or stack overflow you may get the answer
Hi, can We store the value of points and area of the object detected outside the for loop?
Where is the code you just for the program on your site ? and please mention the installation process too.
check his github
@@tlmyasirs where is the image file 😭
@@kamathprajna use any image
omg you do it with no model lol awesome
I love your channel. Keep up the great projects!
could you post a git hub repository?
How to detect object with position x,y and rotation angle alpha?
Thank you your video help me alot
The area which is the output that is in mm ?And instead of area can we find height and width of that bounding box ? Please help..
It is really helpful. Thank you...
helpful, but can contours used to detect texts from distorted image?
can i use this with infrared images to get animal's name as a output
import cv2
import numpy as np
framewidth = 640
frameheight = 480
cap = cv2.VideoCapture(0)
cap.set(3, framewidth)
cap.set(4, frameheight)
def empty(a):
pass
cv2.namedWindow("Parameters")
cv2.resizeWindow("Parameters", 640, 240)
cv2.createTrackbar("Threshold1", "Parameters", 150, 255, empty)
cv2.createTrackbar("Threshold2", "Parameters", 150, 255, empty)
cv2.createTrackbar("Area", "Parameters", 5000, 30000, empty)
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width =imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range (0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0,0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank] *rows
for x in range (0,rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0,rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0,0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
def getContours(img, imgContour):
contours, hierarchy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for cnt in contours:
area = cv2.contourArea(cnt)
areaMin = cv2.getTrackbarPos("Area", "Parameters")
if area > areaMin:
cv2.drawContours(imgContour, contours, -1, (255, 0, 255), 2)
perimeter = cv2.arcLength(cnt, True)
approx = cv2.approxPolyDP(cnt, 0.02 * perimeter, True)
print(len(approx))
x, y, w, h = cv2.boundingRect(approx)
cv2.rectangle(imgContour, (x, y), (x+w, y+h), (0, 255, 0), 2)
cv2.putText(imgContour, "Points: " + str(len(approx)), (x + w + 20, y + 20), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), 2)
cv2.putText(imgContour, "Area: " + str(int(area)), (x + w + 20, y + 45), cv2.FONT_HERSHEY_COMPLEX, 0.7, (0, 255, 0), 2)
while True:
success, img = cap.read()
imgContour = img.copy()
imgBlur = cv2.GaussianBlur(img, (7, 7), 1)
imgGray = cv2.cvtColor(imgBlur, cv2.COLOR_BGR2GRAY)
threshold1 = cv2.getTrackbarPos("Threshold1", "Parameters")
threshold2 = cv2.getTrackbarPos("Threshold2", "Parameters")
imgCanny = cv2.Canny(imgGray, threshold1, threshold2)
kernel = np.ones((5, 5))
imgDil = cv2.dilate(imgCanny, kernel, iterations=1)
getContours(imgDil, imgContour)
imgStack = stackImages(0.8, ([img, imgBlur, imgCanny],
[imgDil, imgContour, imgContour]))
cv2.imshow("Result", imgStack)
if cv2.waitKey(1) & 0xFF == 27: # Escape key
break
cap.release()
cv2.destroyAllWindows()
Amazing tutorial! very insightful
Thank you!
anyone got a link for the split windows function?
Bro, u have journal of this method? i mean finding contour
nicely done :)
Thanks a lot!
You are the man.
Thank you very much@@
I have a question about your video.
I wanna detect shapes of objects from video files.
so I add the code that below. But it doesn't work. what is the problem?
cap = cv2.VideoCapture('../2.mp4')
while True:
success, img = cap.read()
Your file might not be in the correct folder. Try the code in the link for the video . github.com/murtazahassan/OpenCV-Python-Tutorials-for-Beginners/blob/master/Basics/Read_Image_Video_Webcam.py
If you are still unable to run . Share the error message and i will have a look .
Murtaza's Workshop - Robotics and AI Thank you for your kindness. 😊😊 It works well.
why we used success,img at the 12th lines?
Your video is awesome, I can't find your code, can you share it?
In the description (Updated)
Hi thank you for this , I have a quick question , why i have (invalid syntax) in( ; 0xFF) The last line
this is an html issue of the website. I will fix this. if you find 'amp' remove it.
thanks, how can i get cord?
thanks for video!!
i can't find stackImage funtion code anywhere
How can we detect only textboxes in an image
Great video bro, but, how can i know the area in cm2?
Hola, has logrado conseguir información de como pasar el área que se obtiene a cm2?
@@dennyssantiago3165 can anyone learn
How can i use it for detecting only human contours please, i really need help on that.
I suggest you to check my Pose Estimation video
thank you , but the link does not work
How to get the summation of areas of more than one object ?
can we upload the images and find out the area of that image or pic, using that reference object
Yes i have a similar tutorial on this called object measurement.
@@murtazasworkshop here you represent the area in which format, because in video has 4digit and 5digit valuess , but i don't know the mm2 or cm2
where we must see the codes
How can i take the stack images function on the video ???
Follow the link in the description and go to chapter 6 .
@@murtazasworkshop Thanks a lot 👍👍
How can I use this to detect circle? Circle has infinite number of "points" so we cant use points for that.
it seems a matter of how you aproximate the contour, and the shape you draw around it. Maybe there's a function to measure the angles between the segments, and maybe you can compare the are and the perimeter, to see if they are compatible with a circle.
Great one.
What is the use of it?
thank you so much Murtaza's
You're Welcome
Thank you very much sir👍
You're Welcome
By the way, the link you claimed to give in the video(s) are broken :). I had to copy 45 lines of complicated code from a freakinf 144p screen, and i just hope that nobody else had to go throught that, because by the end, i just gave up on the project entirely. I dont know how to get access to the code, but PLEASE PLEASE PLEASE FIX THE LINK!!!!!! (good video btw)
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width =imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range (0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0,0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank] *rows
for x in range (0,rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0,rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0,0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0]), None, scale, scale)
if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
#Your Welcome :)
Thanks for letting me know. Stack image function can be found in Chapter 6 of the link below
www.computervision.zone/courses/learn-opencv-in-3-hours/
Can you show us sir on how to compute the weight based on an image? Thanks
You could find it based on the area. if your environment is fixed.
@@murtazasworkshop can you demo it Sir show how pls
Can you do a tutorial on detecting plants in real time?
Nice tutorial !!
Thank you
can anybody give me the stacking code..thanks.
i love this video
Superb tutorial! Can you do a tutorial that can measure a height of a person using open cv ? Kind regards
I will look into it .
@@murtazasworkshop Thank you. It will be a great help of my project in which the dealine is this coming feb haha.
@@jericreyechavez9 You can follow this tutorial ( ua-cam.com/video/dZ4itBvIjVY/v-deo.html ) with the full body cascade which should give you a bounding box around a human body. Then u could used a fixed coefficient for pixel to cm to find the height. Your camera and target position should be fixed though.
@@murtazasworkshop Thank you so much! You deserve more followers!
@@murtazasworkshop But I will also love to watch your tutorial about this, if you're planning to.
Corrected piece of code:
def stackImages(scale, imgArray):
rows = len(imgArray)
cols = len(imgArray[0])
rowsAvailable = isinstance(imgArray[0], list)
width =imgArray[0][0].shape[1]
height = imgArray[0][0].shape[0]
if rowsAvailable:
for x in range (0, rows):
for y in range(0, cols):
if imgArray[x][y].shape[:2] == imgArray[0][0].shape[:2]:
imgArray[x][y] = cv2.resize(imgArray[x][y], (0,0), None, scale, scale)
else:
imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
if len(imgArray[x][y].shape) == 2: imgArray[x][y] = cv2.cvtColor(imgArray[x][y], cv2.COLOR_GRAY2BGR)
imageBlank = np.zeros((height, width, 3), np.uint8)
hor = [imageBlank]*rows
hor_con = [imageBlank] *rows
for x in range (0,rows):
hor[x] = np.hstack(imgArray[x])
ver = np.vstack(hor)
else:
for x in range(0,rows):
if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
imgArray[x] = cv2.resize(imgArray[x], (0,0), None, scale, scale)
else:
imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None, scale, scale)
if len(imgArray[x].shape) ==2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
hor = np.hstack(imgArray)
ver = hor
return ver
rather than stacking with this long function u can use numpy to that
The function is using numpy
@@murtazasworkshop nah bro its a one line command
vis = np.concatenate((img1, img2), axis=1)
@@pythonner3644 thank you!
hi how can i get the full code for this?
follow the link in the description and enroll to get access to the code
Thanx so much 💔💔
No problem 😊
Hey, can i have question for you on priv? 😀
sure . you can contact me through this page. facebook.com/murtazasworkshop
thanks god
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
16
17 imgStack = stackImages(0.8, ([img,imgGray,imgCanny],
---> 18 [imgDil,imgDil,imgDil]))
19
20
I'm getting an error, what should I do?
need stack function code
where to find it?
I want to draw contour around my eye pupil only how to do it
you can use the face dlib to get the contours. If you want to use this method in the video, then its better to first detect the face and eye using the haarcascade method. (here is the tutorial).
subbed
File "d:\J.A.R.V.I.S\jarvis.py", line 384, in
getContours(imgDil, imgContour)
File "d:\J.A.R.V.I.S\jarvis.py", line 172, in getContours
cv2.rectangle(imgContour, (x, y), (x + w + y + h), (0, 255, 0), 5)
TypeError: function takes exactly 4 arguments (2 given)
I am getting this error pls help me.....
(in that qr code script same error is coming named "TypeError: function takes exactly 2 arguments (3 given)
I am using python 3.9.2
My image is so noisy how to remove noise
Usually depends on the type of noise. You can try median filter.
kaynak kod paylaş haci
Where code
In description
@@murtazasworkshop no
can anyone give me that stack code please