Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
SharpCV
A image library combines OpenCV and NumSharp together. SharpCV returns Mat object with NDArray supported, which makes it easier to do data manipulation like slicing.
How to use
Install OpenCV prebuild binary
PM> Install-Package SharpCV
PM> Install-Package OpenCvSharp4.runtime.winImport SharpCV and OpenCV library
using SharpCV;
using static SharpCV.Binding;Interact with NDArray
NDArray kernel = new float[,]
{
{ 0, -1, 0 },
{ -1, 5, -1 },
{ 0, -1, 0 }
};
var mat = new Mat(kernel);
Assert.AreEqual((3, 3), mat.shape);
Assert.AreEqual(kernel[0], mat.data[0]); // { 0, -1, 0 }
Assert.AreEqual(kernel[1], mat.data[1]); // { -1, 5, -1 }
Assert.AreEqual(kernel[2], mat.data[2]); // { 0, -1, 0 }Pixel level access
var img = cv2.imread(imgSolar, IMREAD_COLOR.IMREAD_GRAYSCALE);
byte p = img[8, 8];
Assert.AreEqual(18, p);
img = cv2.imread(imgSolar);
var (b, g, r) = img[8, 8];
Assert.AreEqual((32, 19, 11), (b, g, r));Convert to black and white image
var img = cv2.imread("solar.jpg");
var gray = cv2.cvtColor(img, ColorConversionCodes.COLOR_RGB2GRAY);
var (ret, binary) = cv2.threshold(gray, 0, 255, ThresholdTypes.THRESH_BINARY | ThresholdTypes.THRESH_TRIANGLE);
cv2.imshow("black and white", binary);
cv2.waitKey(0);Video capture from file or camera
var vid = cv2.VideoCapture("road.mp4");
var (loaded, frame) = vid.read();
while (loaded)
{
(loaded, frame) = vid.read();
cv2.imshow("video", frame);
}If you want to learn more about the API implementation, please refer to the official documentation.
