Img_rot_center_skew = warp(img, S.dot(np.linalg.inv(T).dot(H).dot(T)))įor i in :Īx.imshow(i, cmap=plt.cm. # Translation matrix to shift the image center to the origin # Rotation matrix, angle theta, translation tx, ty # from skimage import transformįrom ansform import warp, ProjectiveTransform You combine it using the code below: Create the frames frames files for i in files: newframe Image.open(i) frames.append(newframe) Save into a GIF file that loops forever frames 0.save('3dvis.gif', format 'GIF. It only works with grayscale images too, mine are currently in colour.Īlso this code achieves a somewhat similar effect but it doesn't allow me to specify the angle of rotation, so in effect I have to play about with values to reflect what I think the rotated image should look like. Then we combine all of that into a single video to create a 3D video with Python. I've found the following code, but it doesn't quite do what I want. How can I do this? Specifically how do I construct the rotation and skew matrices? Read 2D image (PNG, JPEG, GIF, etc as long as PIL or matplotlibs imread support) 2. My preferred 3D library is VTK with Python binding. I want to do the opposite, I have a top-down image and want to display it with different angles applied to rotation around the image centre and the X-axis (so it looks like I'm viewing the image on the table from a sitting position). Id like you to write Python code to convert 2D pictures into 3D printabale STL and VRML(or X3D) files, by interpreting grayscale color value of pixel as height.
#2d to 3d video converter python how to
Many of the examples I've found (such as ) show you how to take a 2D image that represents a 3D object and convert to a 2D view (e.g. I want to transform a 2D colour (RGB from OpenCV) image into a 3D image using Python (using OpenCV, PIL, SKImage, etc.).