Platform: macOS-15.6.1 (arm64) Python 3.14.2 OpenCV: 4.11.0 NumPy: 2.2.6 cv2.imread() with 16-bit TIFF files creates float32 arrays that cause np.maximum() and np.minimum() to behave inconsistently.

llama.cpp supports a number of hardware acceleration backends to speed up inference as well as backend specific options. See the llama.cpp README for a full list.

Abstract: We propose a robust and fast QR code deblurring method using local maximum and minimum intensity (LMMI). The motivation for this work stems from a common characteristic observed during the ...

RIGA - In response to the increase in the value-added tax (VAT) rate, retailer Maxima Latvija will "freeze" the prices of Latvian vegetables and fruit from January 1, while retailers Rimi and Lidl did ...

Abstract: In close connection with time-frequency uncertainty relations, spectrograms are known to have some built-in redundancy which constrains the landscape of their surface, thus calling for ...

An excited gaggle of Dutch ex-pats and Bay Area reporters tried to find some shade outside the GLBT Historical Society to welcome Queen Maxima of the Netherlands on what is possibly the hottest day ...