#Opencv 310 visual studio code tutorial install#
#Opencv 310 visual studio code tutorial windows#

Line 58-61 – Calculate the x,y,w, and h of the bounding box.Line 55-56 – Calculate the center x and center y points.Line 54 – If the confidence is greater than 30%, proceed further.Because our main purpose in this use case is just to detect persons. Line 51-52 – If the class_id is not 0 (person), continue.Line 50 – Get the class id by getting the index of that element that has the highest score.The first four indices are for coordinates of the box and indexes starting from 5 to 85 are for class confidences. Line 49 – There are 85 points in the detection array.Line 48 – Now traverse in all the detections.Line 47 – Traverse in all the outputs from that frame.Line 42 – Get output from output layers.Line 41 – Give this blob as input to the net using.Line 38 – Create a blob of shape 416X416 from the image.Line 37 – Extract image height and width.Line 36- If the cam object is returning something then the ret will be True.Line 35 – Start reading from the input video.

Line 28-29 – We will be saving our results in a video output also as shown below using VideoWriter.

Line 26 – Read a frame from the video just to get the height and width of it.

Line 22 – Get a list of all layer names in the network.

Line 16-20 – A simple distance function that calculates the distance between two coordinates on the plane.

Line 14 – Instantiate the VideoCapture object which will help us in reading frames from the video file.

Line 12 – Set the distance threshold to 50 pixels.

Line 8-10 – Read the Yolo files and enable Cuda.

Line 1-6 – Importing required libraries.

Output_layers = for i in net.getUnconnectedOutLayers()] Net.setPreferableTarget(_TARGET_CUDA)Ĭap = cv2.VideoCapture('data/humans.mp4')

#Opencv 310 visual studio code tutorial install#

Pip install opencv-python numpy Code for Social Distancing project… import cv2 Create a conda environment and install the required librariesĬreate a conda environment and install the required libraries conda create -n sd python=3.9.Otherwise you get a BadImageFormat exception. Moral of story is to use the correct format (Read the docs!) and make sure to create a new CPU configuration and set the platform to 圆4 instead of 'Any CPU,' just like one would with a C++ OpenCV project Using (var window = new Window('window', image: image, flags: WindowMode.AutoSize)) Marshal.WriteByte(image.Data, offset, value) Int w = image.Width int h = image.Height Reinstalled and tested a sample C++ project with OpenCV according to this guide to make sure it works, then compiled & launched it with this code: using Got it working thanks to the advice given by Ceopee. The reference is in place and the package is inluded with using, so Why does Visual Studio not recognize the definitions? Using (CvWindow window = new CvWindow(image))īut when I try to compile it I get errors for the OpenCvSharp functions and types: CS0246 The type or namespace 'IplImage' was not foundĬS0246 The type or namespace 'IplImage' was not foundĬS0103 The name 'BitDepth' is not defined in current contextĬS0246 The type or namespace 'CvWindow' was not foundĬS0103 The name 'CvWindow' is not defined in current context Marshal.WriteByte(image.ImageData, offset, value) Using (IplImage image = new IplImage(128, 128, BitDepth.U8, 1)) I just copied the sample Program.cs code from the wiki, using System Next, I downloaded the OpenCvSharp DLL files and added an OpenCvSharp.dll reference to my sample project:Īs well as adding OpenCvSharpExtern.dll to the EXE output directory, though that doesn't help because I can't compile the executable in the first place. I got the latest OpenCV binaries from SourceForge and added the folder to my environment variables and Path:

#Opencv 310 visual studio code tutorial windows#

I followed the instruction from the OpenCvSharp wiki Windows tutorial to the tee. I am trying to set up OpenCvSharp, but thus far I haven't been able to successfuly compile even the basic code examples, despite following the documentation.