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Python code able to convert / compress image to PI (3.14, π) Indexes
Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction.
ZIP also include 16 MB file with 16,7 mil numbers of PI
Benchmark(Single-Thread):
Hardware & Environment
Apple Silicon: Apple M2 (Mac mini/MacBook)
x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores)
OS 1: Fedora 43 (GNOME)
OS 2: Windows 11 Pro (23H2/24H2)
Software: Python 3.14.3 + Numba JIT (latest)
Results (Lower is better)
Platform / OS CPU Time (Seconds)
macOS (Native) Apple M2 52.151311 s (in default setup)
Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced)
Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! ...
Framework for GPU-accelerated video and image processing
...By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a RaspberryPi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.