W-Net-AI

int cv_Mat_set_Type(Mat* self, int val) {
    self->type() = val;
}

W-Net-AI

CPP file contents:


typedef vector<DMatch> vector_DMatch;

DMatch* cv_vector_DMatch_at(vector_DMatch* self, int idx) {
  DMatch & temp = self->at<DMatch>(idx);
}

HPP file contents:

W-Net-AI

 uchar a[10] = {1,2,3,4,5,6,7,8,9};
 Mat b = Mat(3,3,0,a);
 Mat c = b.diag(0);
 cout <<  b.at<uchar>(0);

W-Net-AI

const int MAX_CORNERS = 500;

int main()
{
	// Load two images and allocate other structures
	IplImage* imgA = cvLoadImage("/d1", CV_LOAD_IMAGE_GRAYSCALE);
	IplImage* imgB = cvLoadImage("d1", CV_LOAD_IMAGE_GRAYSCALE);

	CvSize img_sz = cvGetSize( imgA );
	int win_size = 15;

W-Net-AI

int main( int argc, const char** argv )
{
  cv::Point seed(4,4);
  cv::Mat img = cv::Mat::zeros(100,100,CV_8UC1);
  cv::circle(img, seed, 20, cv::Scalar(128),3);
  cv::Mat mask;
  cv::Canny(img, mask, 100, 200);
  cv::copyMakeBorder(mask, mask, 1, 1, 1, 1, cv::BORDER_REPLICATE);

  //Fill mask with value 128

W-Net-AI

import numpy as np
import cv2

img1 = cv2.imread('/m1')
size = 200, 200
e1 = cv2.getTickCount()
for x in range(0, 10000):
  np.zeros((500, 500), np.uint32)
e2 = cv2.getTickCount()
t = (e2 - e1)/cv2.getTickFrequency()

W-Net-AI

void cv_KeyPoint_setPT(KeyPoint* self, Point2f* val) {
  self->pt = (val);
}

W-Net-AI

(let ((previous nil))
  (defun %mat-data (rows cols type cffi-type val-list )

	 (unless (equal data (car previous))
	   (setf previous (cons data (gced-foreign-alloc cffi-type
							 :initial-contents val-list))))
	 (mat-data rows cols type (cdr previous)))

W-Net-AI

(declaim (ftype (function (integer integer integer list ) cv-mat) make-mat-data1))

(let ((previous nil))
;; GET ERROR HERE, defun is underlined "Type assertion too complex to check (VALUES CV-MAT &REST T)"
  (defun make-mat-data1 (rows cols type data)
(let ((cffi-type (case type 
		      (#.+8uc1+ ':uchar)
		      (#.+8sc1+ ':char)
		      (#.+16uc1+ ':ushort)

W-Net-AI

void cv_delete(char* self) {
    delete self;
}