#FSLINFO DIM1 DIM2 DIM3 VOLUME CODE#

You can only specify a particular volume serial. Undistorted_img = cv2.remap(img, map1, map2, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_CONSTANT) It should show 10 volumes (vol 0-9), and the noise-volumes should be removed. Enclose it in single quotation marks if it contains any special characters. This is the dimension of the box you want to keep after un-distorting the image. Map1, map2 = (scaled_K, D, np.eye(3), new_K, dim3, cv2.CV_16SC2) There are 3 different dimensions involved here: dim1. New_K = (scaled_K, D, dim2, np.eye(3), balance=balance) OpenCV document failed to make this clear! # This is how scaled_K, dim2 and balance are used to determine the final K used to un-distort image. Liczba tych wskaników odpowiada liczbie wierszy w macierzy. Najpierw tworzymy zmienn matrix2d typu double i wpisujemy tam adres zaalokowanej tablicy wskaników typu double. Scaled_K = 1.0 # Except that K is always 1.0 Zmienne dim1 i dim2 oznaczaj wymiary tablicy: dim1 jest liczb wierszy, dim2 liczb kolumn. Scaled_K = K * dim1 / DIM # The values of K is to scale with image dimension.

#FSLINFO DIM1 DIM2 DIM3 VOLUME CODE#

The relevant code snippet looks like this import numpy as npĭef undistort_image(img, DIM, K, D, balance=0.0, dim2=None, dim3=None):ĭim1 = img.shape #dim1 is the dimension of input image to un-distort Sooo… I’m hoping that since I’m on a Tegra… there’s a way to tell the GPU to help out OpenCV? CPU load average went to like 5 and top said python3 started to take 125% of CPU. I basically followed the instructions on Calibrate fisheye lens using OpenCV - part 1 | by Kenneth Jiang | Medium and then added the undistorting function into JetBot’s camera.pyĮrr… surprise! Frame rate dropped to crap. I went through the steps to calibrate my camera’s wide angle lens using cv2’s fisheye module.

Fslinfo dim1 dim2 dim3 volume