DIST facenet-pytorch-2.5.3.tar.gz 1885286 BLAKE2B fb01fd4331bdee4f79ce7d77542c591e5217e5ebb79c675752ecc053e53af7836ef017aca0a91a50089ba3c1a565b390c5f6dd2752b5ddc8c7a1c23e5e1942a7 SHA512 2c6a36bef9dcda6a9212061baf947f911b6cf45761b4435141d5030916dd8fd1d534e5aa2aa7ee8a5dd2fa5161a3ad7a50363784163d651b3cb5863d12df18e7
DIST facenet_pytorch-2.6.0-py3-none-any.whl 1881930 BLAKE2B c740532115f73a5161a001bab6b693274f27ebfc79e92dca05c9a886cb278006a73f3ea5b328a44310e76e963cc2c0d9a2510cf1604955edce3a807b5a5766e1 SHA512 8ab0c896126a6c367cfcbe0fa32605ea8e6931db07ea1a3e0ceeb923a01facfe8e8a55e85cb9f964673329aaf59a8a9a12d8cbe23db62849032555c180d0338e
EBUILD facenet-pytorch-2.5.3.ebuild 860 BLAKE2B c13f63021746c0dcee69203e987ee1363a76ab2fa1806a48ac2bd54cc4925a8949c6ce150eec91f3f17c234d523dd8acc269a2713ebe0345963dac5ce56a2356 SHA512 fe139a5ebdbde478a21840536d1db991997afe550efae25163b5ff25167b37aa200c6cebd86713a577793346be19f7e978d1e9f4e3e92a546f193b82b1197870
MISC metadata.xml 250 BLAKE2B 2c1826692a57fc34172d2287536917d1bed0eab294a590a769caf13b71f79727ca1cbd7b2fbb6ba65164e477be04d1ba1f029d1441d11167c7282e47b47eb8d8 SHA512 6705fbef3cc4702ae20e4ffcffa99663fc11e3fb3eee7d95f1c86096e07e2a0a7f74ae91f8ef242034593d50078dbaa4018673a9ed49581886be49522e5829f3