OpenCV

OpenCV v3.2 for Windows (commit: 70bbf17b133496bd7d54d034b0f94bd869e0e810, 23/12/2016).

• VS2015
  • OpenCV v3.2 x64, VS2015 with CUDA
    Decryption key: !gxqpnR0Qol9NZbfAjxZvjFG-iXuxsDpsvxQGK72CK3c
    Configuration:
    • CUDA 8.0 (binaries compatible with compute 2.0-6.1, –-use_fast_math enabled).
    • Intel MKL (2017 update 1) & TBB (2017 update 2).
    • Eigen 3.33.
    • SIMD optimizations (SSE, SSE2, SSE3, SSE41, SSE42, SSSE3, AVX, AVX2, FMA3).
  • OpenCV v3.2 x86, VS2015 without CUDA
    Decryption key: !tIZh7bPHLq1zm_mQkUDAarJELe6BNSxN8cvtvl3FYyo
    Configuration:
    • SIMD optimizations (SSE, SSE2, SSE3, SSE41, SSE42, SSSE3, AVX, AVX2, FMA3).
• VS2013
  • OpenCV v3.2 x64, VS2013 with CUDA
    Decryption key: !OSYb1OoWm98IYFb-xjOiLjoU6zZbOaG-go3uWpnA1ds
    Configuration:
    • CUDA 8.0 (binaries compatible with compute 2.0-6.1, –-use_fast_math enabled).
    • Intel MKL (2017 update 1) & TBB (2017 update 2).
    • Eigen 3.31.
    • SIMD optimizations (SSE, SSE2, SSE3, SSE41, SSE42, SSSE3, AVX, AVX2, FMA3).
  • OpenCV v3.2 x86, VS2013 without CUDA
    Decryption key: !U1xhT5dS-Zi42SXajQE2o9wsQQjm5fii3oMeoAqNpXQ
    Configuration:
    • SIMD optimizations (SSE, SSE2, SSE3, SSE41, SSE42, SSSE3, AVX, AVX2, FMA3).