The gif with facial recognition is actually really really cool. Awesome work
Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
11–20 of 23 posts
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#12I'm not an expert in the topic, but my understanding is RGB is a poor color space for computing color difference. This could be why your mosaics end up so washed out. [1] suggests using a CIELAB color space [2]. Edit: Looking at the code more closely it looks like you were using Lab at one point but commented it out[3], so I'm guessing you're already aware of this. 1: https://stackoverflow.com/a/9019461/185171 2: htt…
It didn’t make a ton of difference empirically when I tried it. But you’re correct, generally that’s the space you want to be in.
It is quite noticeable when you are using a limited selection of tiles or image has desaturated colors.
I've done some similar work[1], but issue with L*ab color is it's terrifically slow to calculate diff, at least in JS.
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#13This is fantastic, great project!
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#14Earlier quoted context omitted.
It didn’t make a ton of difference empirically when I tried it. But you’re correct, generally that’s the space you want to be in.
It is quite noticeable when you are using a limited selection of tiles or image has desaturated colors. I've done some similar work[1], but issue with L*ab color is it's terrifically slow to calculate diff, at least in JS. [1] https://imgur.com/a/g3EzcSV
Totally. Everything improves with more images since that’s your palette for painting, so to speak. The ones I posted were with less than 100 images so you can definitely do better.
L*b was very slow, yes. It’s all done offline but I tend to like quicker feedback...
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#15Way better implementation of the face alignment than what I did for our peru trip. Good going ;-)
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#16Earlier quoted context omitted.
It's using the KMeans[1] library from sklearn.cluster. But this isn't really ML, is it? My ML knowledge is limited. Regardless, it's a cool project. OP might want to update the title to remove ML. [1] https://github.com/worldveil/photomosaic/blob/master/emosaic...
"[Kmeans] algorithm has a loose relationship to the k-nearest neighbor classifier, a popular machine learning technique for classification that is often confused with k-means due to the name." Maybe an ML expert could elaborate? I've been curious on my own projects when to actually mention when they use true ML or not. https://en.wikipedia.org/wiki/K-means_clustering
K-nearest neighbor clusters based upon the k most similar objects.
K-means, clusters on centroids that are means. After every interation new means are calculated and then reclustering occurs.
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#17Is the example image (https://github.com/worldveil/photomosaic/blob/master/media/r...) with or without opacity cheat?
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#18Is the example image ( https://github.com/worldveil/photomosaic/blob/master/media/r... ) with or without opacity cheat?
Both! You can experiment with —-best-k and —randomness Basically what this will do is assign each tile less than 100% of the time randomly and then for each that isn’t, you choose among the top best K matches on L2 distance with equal probability. Gives it a little bit of both.
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#19Is the example image ( https://github.com/worldveil/photomosaic/blob/master/media/r... ) with or without opacity cheat?
Both! You can experiment with —-best-k and —randomness Basically what this will do is assign each tile less than 100% of the time randomly and then for each that isn’t, you choose among the top best K matches on L2 distance with equal probability. Gives it a little bit of both.
I'm talking about `--opacity` - because to me the mosaic images used in the sky can't be that blue originally.
Re: Make photomosaics, GIFs, and murals from pictures in Python with ML/OpenCV
#20Earlier quoted context omitted.
Both! You can experiment with —-best-k and —randomness Basically what this will do is assign each tile less than 100% of the time randomly and then for each that isn’t, you choose among the top best K matches on L2 distance with equal probability. Gives it a little bit of both.
I'm talking about `--opacity` - because to me the mosaic images used in the sky can't be that blue originally.
Right. The opacity setting is superimposed after the tile assignment. Thus you can have both.
I’ve found that opacity if 0.7 is often a nice compromise.