Apply 3D Luts .cube files into an image using Python [closed] - python

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I'm searching for a way to do this, I have looked at OpenCV but at least I could find only ways to apply 1D Luts files with it (256 long). Does anyone knows how to apply 3D Luts (64x64x64) to an image using python? thanks.

This worked for me.
$ pip install pillow pillow-lut
And then using a random .cube file from an Adobe Photoshop installation:
from PIL import Image
from pillow_lut import load_cube_file
lut = load_cube_file("NightFromDay.CUBE")
im = Image.open("image.png")
im.filter(lut).save("image-with-lut-applied.png")

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I am looking for machine vision ways to detect the boxes to allow for the automation of these splits images [closed]

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I need help! I am looking for machine vision ways to detect the boxes to allow for the automation of these splits Image every box.
I tried many ways but I can't detect the grid/corner properly.
I need help, how I can do this work?
You can use the MatchTemplate function with the below template image.
After detecting all matching points with the template image, you can determine the corners of the each box.

Python library for looking patterns in an image [closed]

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Im looking for a python library that could search an image and find the coordinates of smaller image file i give like the one in https://pyautogui.readthedocs.org/en/latest/screenshot.html#the-locate-functions. For example if i had http://i.stack.imgur.com/hWfBm.png
and i wanted to find all the spots with wild grass what would be the library that could help me do it?
Install the OpenCV library and link to the Python bindings in the system path. If you don't know how to do this, try Youtube for instructions that pertain to your operating system. From there, save an image containing one block of grass.
import cv2
import numpy as np
world = cv2.imread("world.png") # entire world image
grass = cv2.imread("grass.png") # grass image
result = cv2.matchTemplate(world, grass, cv2.TM_CCOEFF_NORMED)
print np.unravel_index(result.argmax(), result.shape)

Drawing 3D animations in Python [closed]

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Looking for a library or framework to aid me with the following:
I receive (x,y,z) vectors every few milliseconds telling me how an object is moving. I want to draw a point in the center of the screen to start, and have it move about - outlining its path - until I tell it to stop.
Being in 3D, I'd need some easy way to rotate or pan around this animation to get different perspectives.
Any recommendations for what to use in Python to accomplish this? Maybe a simple game/graphics library?
I believe that PyOpenGL will give you access directly to OpenGL from python.
You could use pyqtgraph. I have been using it for 3d graphics plots. It has a method scatterplot that is quick in updating a point on the screen. You can also access the view with azimuth and elevation to orbit around the object. http://www.pyqtgraph.org/documentation/3dgraphics/glscatterplotitem.html it uses pyopengl underneath, but its a fast and simple way to access those functions.

Create video with effects from image [closed]

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I am currently working on a project where I generate several images and then transform them into a video.
I am using OpenCV for the whole image processing thing, and especially cv.WriteFrame.
Even though it is working quite well, I would like to add some effects for image transition.
Simple things in fact, I would like the images to blend into each other to avoid the "violent" way it is currently done.
I also have problems with the fps in cv.WriteFrames (which is not accurate).
I searched on the internet without finding any library/utility to do that, so I started thinking about implementing it by myself. It would be quite a hassle though.
Would you know about an option to do such a thing?
I am open to any solution !
Thanks
To have a smooth transition you most likely have to put some extra frames between the 2 images. Those extra frames could be the 2 images progressively adding each other.
Usually opencv addWeighted is used to blend 2 images, it has parameters to set the weights.
addWeighted docs:
http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#addweighted
Well, I've never worked with OpenCV, but if you want to do a fade in or fade out I could envision doing something like creating frames that have progressively more alpha transparency and adding them into the stack thats being written to the video file. Something like that could be done in just a few lines of code with PIL.

Interactive visualization of a graph in python [closed]

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I have a program written in python using the module networkx to create a dynamic graph. It is a planer graph where the vertices remain constant but the edges change. Now I'm looking for a library that allows me to do two things, in a fast and quick manner preferably:
Drawing the vertices as the lattice points inside a rectangle, i.e.
Being able to select edges and vertices to change their color, position, weights, etc. as shown in the picture.
Thanks
For modest graph sizes, any good python graphics library should provide sufficient primitives to address this issue. For example, either Pyglet or PyGame would be suitable.

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