![]() ![]() ffmpeg - framerate 24 - i "img%03d.png" "out.mp4" Once the images are created and present in the working directory, you can run FFMPEG from the command line with the required arguments. One pitfall is that numbers have to be left-padded with zeros up to the largest number of digits present, otherwise the ordering of the images gets screwed up during the video rendering process. They must be named in order, for example I used the naming scheme “img#.png”, where # is the image’s place in the sequence. This can be done repeatedly to get a sequence of images. ![]() The image is then saved to the disk as a PNG file. Once complete, the texture is converted into a PIL image using ‘fromarray’, which happily enough is a-ok with taking a NumPy array. Rendering the image consists of literally just iterating over the array, and assigning colours to each pixel. I’m also specifying the use of 8 bit integers, as the RGB values are bounded between 0 and 255 anyway, but it’s optional. To store the image I’m using a 3 dimensional NumPy array, the first two store each pixel location, and the third is a 3-tuple for the RGB values. For this I’m using the Pillow library for Python, but you can use whatever process you want, as long as you get an ordered sequence of image files at the end of it.Ī digital image is a big grid of square pixels, each with an RGB value. The ImagesĪ video is just a sequence of images, so we first need to render each frame individually. ![]() If you’re on a different platform just look up how to set the PATH environment variable and you should be good.
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