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dlib is not compatibile with numpy 2.x


I spent way too long trying to figure out this problem with dlib while using the Python face_recognition library that wraps it, and since I couldn't find anyone giving the correct diagnosis and solution online, I'm posting it as a public service to the next person who hits it.

Here's the error I was getting:

RuntimeError: Error while calling cudaMallocHost(&data, new_size*sizeof(float)) in file /home/jonathan/Projects/dlib/dlib/cuda/gpu_data.cpp:211. code: 2, reason: out of memory

Eventually I gave up and switched from the GPU model ("cnn") to the CPU one ("hog").  Then I started getting errors about 

RuntimeError: Unsupported image type, must be 8bit gray or RGB image.

This one was easier to track down on Google: it happens when you have numpy 2.x installed, which is not compatible with dlib.  Seems like something along the way should give a warning about that!

At any rate, with numpy downgraded to the latest 1.x version, the cudaMallocHost error also went away.  I guess something in numpy 2.x is getting interpreted as a Very Large image size value.

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