Tag Archives: OpenCV

Opencv Python realizes the paint filling function in PS, one click filling color and the possible reasons for opencv’s frequent errors

First of all, first solve the opencv error problem, once up on the error report headache
cv2.error: OpenCV(4.5.3) C:\Users\runneradmin\AppData\Local\Temp\pip-req-build-z4706ql7\opencv\modules\highgui\src\window.cpp:1274: error: (-2:Unspecified error) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Cocoa support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function ‘cvShowImage’

This version is probably not downloaded well, delete and start again

 

pip uninstall opencv-python

Then download the command

pip3 install opencv-contrib-python

Nice successfully solved the problem. Of course, there may be errors in the path with Chinese or spaces, and sometimes errors will be reported.

No more code, no more nonsense

import cv2 as cv
import numpy as np

def fill_color_demo(image):    #Define the function to fill the color with one click
    Img2 = image.copy() # make a copy of the input image
    h, w = image.shape[:2] #Get the length and width of the image
    mask = np.zeros([h+2, w+2],np.uint8) #mask must be row and column plus 2, and must be uint8 single-channel array, fill the edges need more than 2 pixels, otherwise it will report an error
    cv.floodFill(Img2, mask, (100, 100), (127, 127, 127), (100, 100, 100), (50, 50 ,50), cv.FLOODFILL_FIXED_RANGE)
    #cv.floodFill, parameter 1,: indicates the input image, parameter 2: indicates the mask of a single channel, parameter 3: indicates the starting point of the flooding algorithm, parameter 4 indicates the color of the fill, and parameters 5,6 indicate the maximum positive and negative difference between the currently observed pixel point and the neighboring pixel points
    #x coordinates are from left to right, y coordinates are from top to bottom
    cv.imshow("result", Img2) # display the result image

img = cv.imread('. /1.jpg') # read in the image
cv.imshow('input', img) #Show the input image
fill_color_demo(img) #Transfer the input image into the defined fill color function
cv.waitKey(0)

Then there is the result, as shown below

On the left is the original image of input and on the right is the output image. The color is (127127) gray and the coordinates are (100100). You can change the color coordinates as you like. It’s still very fun

Remember to like, pay attention to and collect

Could NOT find CUDNN: Found unsuitable version “..“, but required is at least “6“

Phenomenon: when compiling CUDA version of opencv4.1, cudnn was not found when using cmake configuration, but it was actually installed

Reason: since the cudnn version installed is 8.2, the macro definition (cudnn) of cudnn version was originally recorded_ Major and cudnn_ Minor) moved from cudnn. H to   cudnn_ version.h。

Resolution: not processed

It’s not known if it will affect the compilation, but camke found cudnn. So ((found/usr/local/cuda-11.1/lib64/libcudnn. So)).

[Solved] Opencv3. X fatal error: opencv2/nonfree/nonfree.hpp: there is no such file or directory

When SIFT algorithm is used for matching, an error is reported during compilation:

fatal error: opencv2/nonfree/nonfree.hpp: Not having that file or directory
#include <opencv2/nonfree/nonfree.hpp>

When you go online, you basically say to download opencv nonfree:

sudo apt-get update
sudo add-apt-repository --yes ppa:xqms/opencv-nonfree
sudo apt-get update
sudo apt-get install libopencv-nonfree-dev

As a result, a new error is reported when the second instruction is run:

sudo add-apt-repository --yes ppa:xqms/opencv-nonfree
Cannot add PPA: 'ppa:~xqms/ubuntu/opencv-nonfree'.
ERROR: '~xqms' user or team does not exist.

After careful review, it is found that the opencv2. X version is still very good to install under the Ubuntu system. You only need to install it through the above instructions

opencv-3.4.0/opencv_contrib-3.4.0/modules/xfeatures2d/include/opencv2/xfeatures2d/nonfree.hpp

Put #include < opencv2/nonfree/nonfree.hpp> Change to absolute path and solve it.

[Solved] error: OpenCV(4.5.2) :-1: error: (-5:Bad argument) in function ‘copyMakeBorder‘

Question:

##Boundary fill
import cv2
top_size,bottom_size,left_size,right_size=(50,50,50,50)
replicate=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_REPLICATE)
reflect=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_REFLECT)
reflect101=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_REFLECT101)
wrap=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_WRAP)
constant=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_CONSTANT,value=0) 
Outcome:
error Traceback (most recent call last)
<ipython-input-39-820a457b4770> in <module>
      2 import cv2
      3 top_size,bottom_size,left_size,right_size=(50,50,50,50)
----> 4 replicate=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_REPLICATE)
      5 reflect=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_REFLECT)
      6 reflect101=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,boderType=cv2.BORDER_REFLECT101)

error: OpenCV(4.5.2) :-1: error: (-5:Bad argument) in function 'copyMakeBorder'
> Overload resolution failed:
>  - copyMakeBorder() missing required argument 'borderType' (pos 6)
>  - copyMakeBorder() missing required argument 'borderType' (pos 6)

analysis:

error: OpenCV(4.5.2) :-1: error: (-5:Bad argument) in function 'copyMakeBorder'
> Overload resolution failed:
>  - copyMakeBorder() missing required argument 'borderType' (pos 6)
>  - copyMakeBorder() missing required argument 'borderType' (pos 6)

“Bordertype” spelling error!!!!

Correct code:

##Boundary fill
import cv2
top_size,bottom_size,left_size,right_size=(50,50,50,50)
replicate=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType=cv2.BORDER_REPLICATE)
reflect=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType=cv2.BORDER_REFLECT)
reflect101=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType=cv2.BORDER_REFLECT101)
wrap=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType=cv2.BORDER_WRAP)
constant=cv2.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,borderType=cv2.BORDER_CONSTANT,value=0) 


import matplotlib.pyplot as plt
plt.subplot(231),plt.imshow(img,'gray'),plt.title('ORIGINAL')
plt.subplot(232),plt.imshow(replicate,'gray'),plt.title('REPLICATE')
plt.subplot(233),plt.imshow(reflect,'gray'),plt.title('REFLECT')
plt.subplot(234),plt.imshow(reflect101,'gray'),plt.title('REFLECT101')
plt.subplot(235),plt.imshow(wrap,'gray'),plt.title('WRAP')
plt.subplot(236),plt.imshow(constant,'gray'),plt.title('CONSTANTL')

plt.show()

Output results:

    cv2.BORDER_ Replicate copy method, copy the edge pixel CV2. Border_ Reflect reflection method, the interested image pixels on both sides of the entry CV2. Border_ Reflect101 reflection method, with the most edge pixel as the axis, symmetrical CV2. Border_Wrap method cv2.border_Constant good method

[Solved] Could not find a package configuration file provided by “moveit_core“

Error resolution

Could not find a package configuration file provided by "moveit_core" with
  any of the following names:

    moveit_coreConfig.cmake
    moveit_core-config.cmake

  Add the installation prefix of "moveit_core" to CMAKE_PREFIX_PATH or set
  "moveit_core_DIR" to a directory containing one of the above files.  If
  "moveit_core" provides a separate development package or SDK, be sure it
  has been installed.

[Solved] Denseflow Install Error: fatal error: opencv2/cudaarithm.hpp: No such file or directory

Installing denseflow compiles with the following error./home/m/src/denseflow/src/denseflow_gpu.cpp:2:10: fatal error: opencv2/cudaarithm.hpp: No such file or directory
#include “opencv2/cudaarithm.hpp”
where the keywords are
/home/m/src/denseflow/src/denseflow_gpu.cpp
cudaarithm.hpp
The solution is as follows.
1、Find the path where cudaarithm.hpp is located

sudo find/-name "cudaarithm.hpp"

A path similar to:

/home/m/src/opencv_contrib/modules/cudaarithm/include/opencv2/cudaarithm.hpp
/home/m/include/opencv4/opencv2/cudaarithm.hpp
............
..............

Then fill the absolute path into denseflow_ Gpu.cpp replaces relative path

#You have to fill in the absolute paths, and our paths may be different, you have to follow your own
sudo vim /home/m/src/denseflow/src/denseflow_gpu.cpp

Before replacing
#include “opencv2/cudaarithm.hpp”
After replacement
#include “/home/m/include/opencv4/opencv2/cudaarithm.hpp”
Compile again, the problem is solved.

Opencv opencvsharpexternal compilation and recording process

1-35013;- VS2019-36733;- OpenCvSharpExterior-283044;-

2’38468;’21547;’ 24405s;

D:\VS2019\opencvsharp-4.4.0.20200916\opencv files\opencv440 win x64\include\3rdparty\ippicv\ippicv win\icv\include

D:\VS2019\opencvsharp-4.4.0.20200916\\\opencv files\opencv440 wine x64\include

3-38745;- 24577;- 24211;- 38468;-

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opencv aruco440d.lib
opencv bgsegm440d.lib
opencv bioinspired440d.lib
opencv calib3d440d.lib
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opencv fuzzy440d.lib
opencv hfs440d.lib
opencv highgui440d.lib
opencv imgcodecs440d.lib
opencv imgproc440d.lib
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opencv quality 440d.lib
opencv reg440d.lib
opencv rgbd440d.lib
opencv saliency440d.lib
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opencv ts440d.lib
opencv video440d.lib
opencv videoio440d.lib
opencv videostab440d.lib
opencv xfeatures2d440d.lib
opencv ximgproc440d.lib
opencv xobjdetect440d.lib
opencv xphoto440d.lib

OpenCV 357933387454524577;24211s;

[Solved] Win10 and Linux address reading format is different (CV2. Error: opencv (4.2.0)/Io/opencv…)

img = cv2.resize(img, (512, 1024))
cv2.error: OpenCV(4.2.0) /io/opencv/modules/imgproc/src/resize. cpp:4045 : error: (-215:Assertion failed) ! ssize.empty() in function ‘resize’

The code can run normally in win10, but the above error is reported in Linux. My analysis is due to the different address reading formats between win10 and Linux.

img   = cv2.imread(item['path'])
#item['path']：'./data/TuSimple/LaneDetection\clips/0313-2/42120/20.jpg'

There is a ‘\’ in the address of item [‘path ‘], which results in an error in Linux operation
so change the’ \ ‘in the address of item [‘path’] to ‘/’

item['path']=item['path'].replace('\\', '/')#Add this code
img   = cv2.imread(item['path'])

OpenCV(-206:Bad flag (parameter or structure field)) Unrecognized or unsupported array type [How to Solve]

This problem occurred when I ran C + + opencv code. I realized that the mask format I entered was incorrect, not the. PNG or. JPG problem I wrote. The source of the problem may be that CV2. Imread() is loading an empty matrix. Instead of delving into this problem, I will check your input image and mask name and format again. I think this error is a sign that the image cannot be loaded correctly. You need to check your code imread read read problem, whether the file name is correct and whether there is a problem with the file input path. Finally, I changed the way the file path was read

My modification: change the input path in the program parameters to:

The above is my solution to this problem, the correct operation of the modified code.

Opencv (4.5.1) error: assertion failed (((npoints > = 4) | (npoints = = 3 & & flags = = s)

Solve the problem of solvepnp (outdim, indim, cameramatrix, distcoeff, RVEC, tvec); There is an unhandled exception at 0x00007ffbc3844b89 (in biaoding.exe): Microsoft C + + exception: CV:: exception, in the memory location of 0x000000571351b2d0
 
Mapping 3D point cloud to 2D image, using OpenCV solvepnp, running error

OpenCV(4.5.1) Error: Assertion failed (( (npoints >= 4) || (npoints == 3 && amp; flags == SOLVEPNP_ ITERATIVE && amp; useExtrinsicGuess) || (npoints >= 3 && amp; flags == SOLVEPNP_ SQPNP) ) && amp; npoints == std::max(ipoints.checkVector(2, CV_ 32F), ipoints.checkVector(2, CV_ 64F))) in cv::solvePnPGeneric, file C:\build\master_ winpack-build-win64-vc15\opencv\modules\calib3d\src\solvepnp.cpp, line 802

The error is as follows:

The input coordinates of 3D point cloud and 2D pixel are:

Conversion type:

After the conversion, the output of outdim and indim is changed, and it is no longer a 6 * 3 matrix, so an error will be reported

So the error is because the matrix dimensions in solvepnp are inconsistent. The solution is to use push again in the most stupid way_ Back redefines outdim and indim, instead of using for loop to define outdim and indim, just in case cameramatrix is also redefined

Finally, the rotation translation matrix from radar to camera and the result map of point cloud mapping to image are obtained