pelya

Saving arbitrary metadata is the exact use case for pickle module, you just put it together with your numpy array into a tuple. jpeg format has support for storing metadata, but they are an afterthought like .mp3 tags, half of applications do not support them.

I can imagine multichannel jpeg to be used in photo editing software, so you can effortlessly create false-color plots of your infrared data, maybe even apply a beauty filter to your Eagle Nebula microwave scans.

What, pickle.dump your enormous Numpy array not good enough for you anymore? Not even fancy zlib.compress(pickle.dumps(enormousNumpyArray)) will satisfy you? Are you a scientist or a spectral data photographer?

Missing a Raspberry PI 4 setup which hosts a print server, an RTP server with two surveillance webcams and no password, and also seeds a terabyte of torrents over the local flower shop’s unencrypted WiFi.