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GUI.py is the file for GUI to play with camera parameters. The projected points and the original mesh points are used to compute a map and finally a remapping function is applied on the image. We compute the camera projection matrix and thus the image coordinates corresponding to these 3D points. As Sx increases the apparent pixel width increases making the image stretch horizontally and similarly Sy increases the apparent pixel height, making the image stretch vertically.īasically the plane is a mesh of 3D points. When you control the sx and sy trackbars the apparent pixel size in x and y direction changes. Camera apparent pixel size and focal lenght The computations performed in numpy also take into account the equation for lens distortions for a pin hole camera.
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When you control the k and p trackbars you are controlling the distortion coefficients. When you control the alpha, beta, gamma trackbars you are controlling the rotations of camera in 3D world. You can also objserve the changes in the last column of the camera projection matrix being prined in the right terminal. The plane remains fixed and thus we can observe shifting of the plane as we move the camera. When you control the X, Y, Z trackerbars you are basically controlling the position of camera in the 3D world. Run the GUI using the following command.
#Cammask review install#
Install the virtual camera library using the following command.Link to the post about FunMirrors Instructions to run the GUI i slowed the speed a liddle bit so its not triggering my sickness works perfect :) thanks. An interesting application of this library can be seen in FunMirrors project Listing review by Koto San thanks to the vid in the file, i could even use it in streamlabs, i didnt find the 'blend' menu like in obs but still works important is a round cammask + add new mediafile and put it BEHIND the cam, and it works. The opportuinity to sit through the CS763: Computer Vision Spring 2020 course at IIT Bombay also helped me to clear my fundamental concepts related to the geometry of image formation and camera projection matrix. I also refered this blog from to understand the geometry of image formation. Standard books related to multi-view geometry and computer vision were refered to ensure validty of equations in the code. By changing the extrinsic parameters of the camera (rotation and translation) you can simulate how the image being formed changes. An interractive GUI is also provided which simulates a virtual camera and a plane in 3D world. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera. It can be used to understand concepts of image formation and to understand the intrinsic and extrinsic camera parameters. Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera. Virtual camera is created only using OpenCV and numpy.