A differentiable renderer with Pytorch,Tensorflow and Matlab interfaces.
Project description
The author of this package has not provided a project description
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
deodr-0.1.25.tar.gz
(1.4 MB
view hashes)
Built Distributions
Close
Hashes for deodr-0.1.25-cp39-cp39-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 719121aafbd9aa078bd99b413eea427551835d94562b3980f724a7f3fe051451 |
|
MD5 | 1b842831a5ee005c76a1c972e2a0344d |
|
BLAKE2b-256 | 3cc7f544a6b071cf03b0a7685608b6f5964d218eadacd8b4d8f032e4d4a48ddf |
Close
Hashes for deodr-0.1.25-cp38-cp38-win_amd64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3973d958bdad9e6d6fd3e46ca94e3b5bf2bba044e459ca98b186e513cd17d731 |
|
MD5 | a421a7d0906d00234fb02eb0d2d2d91a |
|
BLAKE2b-256 | fe52737f287c2cb5022f51b23e44f0da0cce6b2437d9c67e9ea8bdb15bfafb09 |
Close
Hashes for deodr-0.1.25-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 95bfff1bb5ed29a124eef0fac4ab5d4cba81cd1c05dff4d38d6a43970651acde |
|
MD5 | 1812b3386e5408f2bf794241b5ee40c9 |
|
BLAKE2b-256 | 434760f0e29885321a1ee90518965ddc2d0e9f84e6649477652a93ab2ffcd600 |
Close
Hashes for deodr-0.1.25-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ceac09c3cb9dec5f3298f99f18459fd24f5ffdd28c93efac688bdb1f25f6b9ad |
|
MD5 | c1d527041c2d33e693abf8eec328b833 |
|
BLAKE2b-256 | 615080cf5deaa19ca86ffe46eeb679073d9fe11d52de771fa27a4032c49b1879 |