Eigen is a C++ library for linear algebra that you need to install and include the correct headers. The source code seems to target Linux. /usr/local/include/eigen3/Eigen/Eigen implies a unix path. You are on Windows, that won’t work. you have to modify the code to work. 1 solved When i run the code of curve matching,error … Read more
I tried switching out and frame in and using frame.copyTo(out, mask) instead of Core.bitwise_and(frame, mask, out) It worked!! Here is my final code: // frame is input, out is output Scalar minValues = new Scalar(RFrom, GFrom, BFrom); Scalar maxValues = new Scalar(RTo, GTo, BTo); Mat mask = new Mat(); Core.inRange(frame, minValues, maxValues, mask); frame.copyTo(out, mask); … Read more
You don’t plot an image, you plot data, either in the plain form, or resulting from equations, for images, you just display them, using functions like image Of course, images are in there raw form are data too, but they have special formats. solved What is means by Plotting an Image ?What is the purpose … Read more
cv::norm can be used to find distance between two points. I have taken 6 random points on a board of 200 x 200. Now i have just looped over the rest of the points to find the smallest distance using cv::norm and then exchanged its index with the next point. My result is: Sorry but … Read more
Here is my Python/OpenCV code. I can get the region by a judicious choice of area thresholding. But this is not likely going to be robust for other images. Input: import cv2 import numpy as np # read image img = cv2.imread(“younas.jpg”) # convert img to grayscale gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # median filter gray … Read more
Jeru’s answer is correct for this case. If you have a case with bigger noise where morpholigocal operations won’t take them out, you can make a cutoff with the contour size, something like for contour in contours if cv2.contourArea(contour) > minimal_length before counting 1 solved How to calculate the number of shapes detected after thresholding
This simplest way is to use cv::add, which overloads the + operator for the Mat class: // Create a Mat of all 0’s cv::Mat dots = cv::Mat(5, 4, CV_8UC3, cv::Scalar(0,0,0)); std::cout << “dots:\n” << dots << std::endl; // Add 0 to the B channel, 3 to the G channel, and 5 to R cv::Mat newdots … Read more
When I use DLLs the header files for those DLLs also need to be included. You will provide headers to your client. 1 solved Does the Client Required OpenCv Installation on their machine to run the C++ DLL ( used Opencv Libraries )? [closed]
You can use Azure Cognitive service https://azure.microsoft.com/en-gb/services/cognitive-services/computer-vision/ It has a free tier(more than enough if you have less than 100 users I’d say) to use. 1 solved How to Verify People’s faces Using Camera [closed]
You mean this? : import cv2 import numpy as np img = cv2.imread(“image.jpg”) hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) mask = cv2.inRange(hsv, (0, 0, 0), (75, 255, 255)) imask = mask > 0 green = np.zeros_like(img, np.uint8) green[imask] = img[imask] cv2.imwrite(“result.png”, green) Output 1 solved How to remove the background of an object using OpenCV (Python) [closed]
If you’re asking are there any web hosts that will let you run OpenCV code, then yes. Most VPS hosts will let you install whatever software on the server you need, all you do is SSH into it, and if it’s a Deb, platform per-say you may install anything you want with ‘apt-get… ‘ For … Read more
You can’t send the whole Pandas dataframe into cv2.imread. You want to access the actual file itself. You also want to append with the image, not a list containing just the image to allow for easier accessing: data = [] for i in range(len(train_data)): img_array = cv2.imread(train_data.loc[i, ‘file’], 1) data.append(img_array) solved Getting an error while … Read more
sample #include <stdio.h> #include <string.h> int main(void){ unsigned char a[64*128]; int i,r,c; for(i=0;i<64*128;i++){ a[i]=i; } //not fill unsigned char (*b)[64][128] = (unsigned char (*)[64][128])a; for(r=0;r<64;++r){ for(c=0;c<128;++c){ printf(“%i,”, (*b)[r][c]); } printf(“\n”); } //FILL unsigned char b2[64][128]; memcpy(b2, a, sizeof(b2)); printf(“\nFill ver\n”); for(r=0;r<2;++r){ for(c=0;c<16;++c){ printf(“%i,”, b2[r][c]); } printf(“\n”); } return 0; } solved Transpose a 1D byte-wise … Read more
I found some time to work on this. Now I understand what you tried to achieve with the offset computation, but I’m not sure whether yours is correct. Just change all the cv::Vec3b to unsigned char or uchar and load as grayscale, if wanted. Please try this code and maybe you’ll find your error: // … Read more
[DllImport(@”../data/stasm_dll.dll”)] internal static extern void AsmSearchDll ( [Out] out Int32 pnlandmarks, [Out] out Int32[] landmarks, [In, MarshalAs(UnmanagedType.LPStr)] String image_name, [In, MarshalAs(UnmanagedType.LPStr)] String image_data, [In] Int32 width, [In] Int32 height, [In] Int32 is_color, [In, MarshalAs(UnmanagedType.LPStr)] String conf_file0, [In, MarshalAs(UnmanagedType.LPStr)] String conf_file1 ); IplImage img = cvlib.cvLoadImage(image_name, cvlib.CV_LOAD_IMAGE_COLOR); String imageData = Marshal.PtrToStringAnsi(img.imageData); AsmSearchDll(out nlandmarks, out landmarks, image_name, … Read more