pye3d

3D eye model

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Project description

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pye3d Detector

pye3d implements a published mathematical 3D eye model capturing ocular kinematics and optics (see Swirski and Dodgson, 2013, as well as Dierkes, Kassner, and Bulling, 2019.

Installation

We recommend installing the pre-packaged binary wheels from PyPI:

pip install pye3d

For more information see the documentation.

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.3.2

Jan 30, 2023

0.3.1.post1

Oct 11, 2022

0.3.1

Oct 6, 2022

0.3.0

Nov 10, 2021

0.2.0

Oct 12, 2021

0.1.1

Jul 7, 2021

0.1.0

Jul 7, 2021

0.0.8

Jun 17, 2021

0.0.7

May 11, 2021

0.0.6

Mar 9, 2021

0.0.5

Feb 9, 2021

0.0.4

Dec 10, 2020

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pye3d-0.3.2.tar.gz (68.5 kB view hashes)

Uploaded Jan 30, 2023 Source

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pye3d-0.3.2-cp311-cp311-win_amd64.whl (224.9 kB view hashes)

Uploaded Jan 30, 2023 CPython 3.11 Windows x86-64

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Uploaded Jan 30, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

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pye3d-0.3.2-cp39-cp39-win_amd64.whl (230.8 kB view hashes)

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Uploaded Jan 30, 2023 CPython 3.9 macOS 10.9+ x86-64

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Uploaded Jan 30, 2023 CPython 3.8 Windows x86-64

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Uploaded Jan 30, 2023 CPython 3.7m macOS 10.9+ x86-64

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Hashes for pye3d-0.3.2.tar.gz

Hashes for pye3d-0.3.2.tar.gz
Algorithm	Hash digest
SHA256	`12793dd0b2926539252d6b2ba9df6b0c1774947a007661b2c1670ef73c905339`
MD5	`0f7da930887052a9f042fd10ab6a0eca`
BLAKE2b-256	`575dfc8603abf15b5d4978a40ccd8bc93acdd78296e0af220d6cb7bc921a3774`

Hashes for pye3d-0.3.2-cp311-cp311-win_amd64.whl

Hashes for pye3d-0.3.2-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`b1577c6081414a07a457d9e8b6bd6920cd3ccc86415eec286f5b92504bb597c0`
MD5	`c74e80c1b33e09e8cb156ff1d4e426c0`
BLAKE2b-256	`315448e1295b995efd654f1e5a94e24c2775acfbd6ece3bd3c69c084ee124088`

Hashes for pye3d-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pye3d-0.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`c356f102334b4f0f50bc459c85e556567c6b115a48fb689cd293588ef80ca0e3`
MD5	`15d1c89d921b216f341d040401b2b449`
BLAKE2b-256	`7223e72581ac8fb3e3ad360fb6f764078fce126ff4e9416ef34562dc0d1998b2`

Hashes for pye3d-0.3.2-cp311-cp311-macosx_10_9_x86_64.whl

Hashes for pye3d-0.3.2-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`e5b61e47761dc6f455447ffb817a8a2900b0c231f6ac2744cbe77633317a2007`
MD5	`9d1f0ed9ccb381f8af5bb64118e08ff5`
BLAKE2b-256	`500315841f4a9b8df91f0da6c3d8fe43ec2fd8b5f176836b7a30f985e1e16793`

Hashes for pye3d-0.3.2-cp310-cp310-win_amd64.whl

Hashes for pye3d-0.3.2-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`01f96d315f218e2a3da27eb6a831eb8d0f1e56a62292ff08f7ca839d0eb98e61`
MD5	`d10db6634aff14553dc747bfb9072431`
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Hashes for pye3d-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pye3d-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`7b527a02a3872f8a38f8a74fb2f5b3d2bad677190f13fae6d1997c963be264eb`
MD5	`753c778195028bca2e09dc27e0347be2`
BLAKE2b-256	`b436e3db844991b78c561603d7f7fa0b4305c0d490451b94f4df847c9831be75`

Hashes for pye3d-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for pye3d-0.3.2-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`25875702bfb644171b7e5ffc7c778289e4adf3d57aa3959aa8935b44f9ed81f9`
MD5	`73d289eb19ab001cdc2f6ad7a9cb87fc`
BLAKE2b-256	`33789dff2b77830e3aa8e44c61c7ed89a8ff34b95fdc0c0ddce2c194a29b82fc`

Hashes for pye3d-0.3.2-cp39-cp39-win_amd64.whl

Hashes for pye3d-0.3.2-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`50780d21a6d4fdf2758493e855f56c6a7c92912bb938a5eb3df6805ecbf8fce9`
MD5	`50719365a0ba30f638452a53b484a295`
BLAKE2b-256	`7e4eaba3eac414ca5e1da1c4e0a095e3b3ba720937cdd7ebb6b969b22ccff910`

Hashes for pye3d-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pye3d-0.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`8e58f0b8f8cfb7bbe956cd9b7eb4d5cdbfea62138e80158200aa2da52e703374`
MD5	`ebfd3db9c9a120b9a6e25f5805ca6d22`
BLAKE2b-256	`cf1f969efe066aa95fe05128b1b736cfa378cba4654723ce88c523ee6a42b592`

Hashes for pye3d-0.3.2-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for pye3d-0.3.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`aa3a52b9f52ce1b6681b7e49ea870f825a86a1ee82d81d90f1b0079b651e0932`
MD5	`9abd774531779f20a7dc97b12411c839`
BLAKE2b-256	`e56f7640fa6d8302e843948a000d41eab75510ca25f84f7fc0355447f31e5e59`

Hashes for pye3d-0.3.2-cp38-cp38-win_amd64.whl

Hashes for pye3d-0.3.2-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`239cc403748bab8b08b1c682552163dc8eeb3d93a70e1a9a20bba3d429ffe5c5`
MD5	`40a9543b018dff4656f6f858f7bb851f`
BLAKE2b-256	`64262b4193916b3b81b9a28d4ab60143d1121d5c5fc6df18d78bb7ad028d08dc`

Hashes for pye3d-0.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pye3d-0.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`8ddda0564ec37d6a150222c2c826ba9e1090d5559f7ec1ea5a7dc877f45c7b33`
MD5	`05f3b8285c8cf7949508f860afcd8e9e`
BLAKE2b-256	`6010d54b947a8c947eb13c1c37bdda54b075522e2326562808eadce14ab65044`

Hashes for pye3d-0.3.2-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for pye3d-0.3.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`ba5f9208736709dbd328122ecb7153324490a885291fd1b0942add179e59a258`
MD5	`f154b437a74c65d2e694379e42ecc059`
BLAKE2b-256	`756851fa79770090bfdb89d653db99977398bfd79a341b10ba9f71ead210662a`

Hashes for pye3d-0.3.2-cp37-cp37m-win_amd64.whl

Hashes for pye3d-0.3.2-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`0f03a946bb3caa8153e3b22f3464598096396e3038f26f75ea5234cb0b7c43ca`
MD5	`3c2234f2b504e6c175379c26d24fbc93`
BLAKE2b-256	`74296307a52f8731a2c1c2f8e54342fc8f559695e58930f6b8e2b9326f4b1f4b`

Hashes for pye3d-0.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pye3d-0.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`b785502d21aac56fea97a382227e69ddc8ecbcf9dc31d5025f66e2ca1cb1a998`
MD5	`348904f4eb584665c8a2c451a910cdad`
BLAKE2b-256	`ac278258b1f5ac01ee65dc3ce861eab53d503e6ac1a7077287315b704159a341`

Hashes for pye3d-0.3.2-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for pye3d-0.3.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`5cead11165c0936ee12e3021ab9bafa600400981726c2d53c51350a89f74f18d`
MD5	`a6953437589a4ac534a22aec46584a73`
BLAKE2b-256	`bf2740ced24157b7c8e403401c258d5a518f1b8b33c121def242b629b8256106`

Hashes for pye3d-0.3.2-cp36-cp36m-win_amd64.whl

Hashes for pye3d-0.3.2-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`3c5ec18e11cc21e44ec438ea86e8d4b79702032eb3738e0272f7104b9d01364a`
MD5	`4cc349e49a74d7a3a932386684847a78`
BLAKE2b-256	`6e1b907e0e3cd6f5cbef7f0cfa1409203b5b977e398d1bd1602288d8ccd55473`

Hashes for pye3d-0.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for pye3d-0.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ffe579fdb90491a7ae16e9bf541c0ceab2e940e1502f35e747b441a776d61989`
MD5	`d6b3fd7caf775edca2d94d7cc58667a0`
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Hashes for pye3d-0.3.2-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for pye3d-0.3.2-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`569bcfb86f29cd7c3f54fcb5849583c8299168e4f4b2bc01616dacd02af7f9c8`
MD5	`b3e7f236527831e7737d27d7889da5c9`
BLAKE2b-256	`3f8ae4ff766c950f54794b181eb3808bb71b278dc6c3f5380f423de1533cf14d`