Package providing utilities to load, manipulate, convert and visualize COCO format datasets.

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Project description

Rpycocotools

Tool to handle COCO-like data in python. This repo is very much a wip.

Build

Build and install into local virtualenv with maturin develop.

Usage example

Visualize image with a given id:

import rpycocotools
coco_dataset = rpycocotools.COCO("../data_samples/coco_25k/annotations.json", "../data_samples/coco_25k/images")
coco_dataset.visualize_img(174482)

rpycocotools_visu_example

import rpycocotools
coco_dataset = rpycocotools.COCO("../data_samples/coco_25k/annotations.json", "../data_samples/coco_25k/images")
anns = coco_dataset.get_img_anns(174482)
mask = rpycocotools.mask.decode_poly_rs(anns[0].segmentation)
mask = 255 * mask

The mask is a numpy array and can be visualized (for example with opencv):

bike_segmentation

Run the tests

python -m pytest . -vv

Project details

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Release history Release notifications | RSS feed

0.0.7

May 25, 2023

0.0.6

May 17, 2023

0.0.5

May 11, 2023

0.0.4

May 8, 2023

This version

0.0.3

Mar 27, 2023

0.0.2

Mar 22, 2023

0.0.1

Mar 17, 2023

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MD5	`da882d85f7ca02818ed34a946fc56dd5`
BLAKE2b-256	`496932f2450120e85504977301c567005e10e52aca6a60d74f73bad80e912a39`

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`1dbe81566b20d39cb0b0d482238023111ad0ae270e25af2dd4a6666ee5fc3b09`
MD5	`0ea1b82b08089aa7be08f41ca5287c0b`
BLAKE2b-256	`1a45050472c2c9211260ddfef225468e3ae86b4fe2da0ae88e6d7ea3c2a80020`

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm	Hash digest
SHA256	`9bbe487ec8dfa39ef94954f165d453c680b7f29cbf192efb37b4e099deed5573`
MD5	`1e7dff04f2283bd5cbfe9413bb6a3bf4`
BLAKE2b-256	`4b8c6e2eb8a923390af2b82f653667f131e5830ad70de4a469d0071b121d9dd1`

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm	Hash digest
SHA256	`0ad0bd02057f067da313abfabbd7cf4ec25b714878af6c7039fc1902cfcef245`
MD5	`a85a3f28d4ed4d66c41a7143e0907b55`
BLAKE2b-256	`5da8fb1cca34166300b8bfe2e27bc398a4a2d9dee2c717c72b0d0af2fe035a18`

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rpycocotools-0.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`02298a108d2cd37cedf4befcf277b7627ba0101b9162b1e5401f413a1bed1265`
MD5	`46fdfbb50f29b2f35d188c04143fa227`
BLAKE2b-256	`d7ef296ed38a4063542278376b86f1be890c6322d32ac2e2c14d8188a23b0d05`

Hashes for rpycocotools-0.0.3-cp310-cp310-macosx_11_0_arm64.whl

Hashes for rpycocotools-0.0.3-cp310-cp310-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`32b3df2985b41c307326393ac32e4b464597df624e7c198d4222bfdf742c7b8a`
MD5	`c5eed0b4114c935bd1cfbda246457cda`
BLAKE2b-256	`b69b0a3b28ad8fa51debe24e81937c6cc86f79f2e5733e0a560e0f562268a75a`

Hashes for rpycocotools-0.0.3-cp310-cp310-macosx_10_7_x86_64.whl

Hashes for rpycocotools-0.0.3-cp310-cp310-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`98cba5338faa69669b03f768cfcf9cf77f7142bec04e3b9f93cd09b8af9121c5`
MD5	`c60250b5b28bd04754133500c804663c`
BLAKE2b-256	`02bc8da3e55a23baa8f9a5cbd61436632ed8fc32ba5a859f6c6adceb34ac2d29`

Hashes for rpycocotools-0.0.3-cp39-none-win_amd64.whl

Hashes for rpycocotools-0.0.3-cp39-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`54c50ef6b36a500d05283124a48ae026b5f5386b7cbf539f9845656b5ba3d93f`
MD5	`40d2b25f73ead46b06d9f2f66f1f232d`
BLAKE2b-256	`f8aea0103fc1f57ce95c5d64add7a0a93019579c8c2e9b79206ec2741f4e32e5`

Hashes for rpycocotools-0.0.3-cp39-none-win32.whl

Hashes for rpycocotools-0.0.3-cp39-none-win32.whl
Algorithm	Hash digest
SHA256	`e56716e9508f9cf139c4cd061c13a84b2eb85fdd4b4bd5c199e79890f523a3e9`
MD5	`adfefb281fda01fa8ad86757ef10fae6`
BLAKE2b-256	`502f6ad2a3dd585fc2030fcfa19a3a47680ed7abf47dafa31eb8f1e212a41da9`

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`164758e075f1baff8215f18ac57dac45b825af0a1a64b0abf5f9a65d5ef17560`
MD5	`ec3aff7f9103563b1f62146afdb934e4`
BLAKE2b-256	`813a2b10c67fe220c0f3692709248da7e4f934a3e7bb512d59080d22c8f4106d`

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm	Hash digest
SHA256	`b5f386a7a5a9ed65137f2d54a663ea8bed004c2da0c73db7ee2c27fcf4c3b3c9`
MD5	`a36263c576429291bc3b0ab921ff63c3`
BLAKE2b-256	`7b28f72062587abb3da70969ba8231b3807fd05366dbeec867f4d70d000334ad`

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm	Hash digest
SHA256	`1101584c4ff5360265f7cbf779b62310f1cfc998c93a2d83e259f5a8978e6bc1`
MD5	`bb2c92af1a708e1c4af3b873293f00b4`
BLAKE2b-256	`1f224c90080ab8190c1240ec57e017bc73f87d560888a7dc39a16efec1e6df25`

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rpycocotools-0.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`d359d28098386668897daef319f7d9aa17372800a2203b2f9856519636bc1ba3`
MD5	`d703c133d225a59209940a3af2a3cb0f`
BLAKE2b-256	`424fd57e5a7b0b0302e02f256c87df7bdf1e88deabbc04c1d2db16d9a1ddd202`

Hashes for rpycocotools-0.0.3-cp38-none-win_amd64.whl

Hashes for rpycocotools-0.0.3-cp38-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`2bbad3c4d8fcc114379fb7f5a593d8837bd04a4aa53938ced55ee26c82e25cff`
MD5	`e3ef0a5fe41fd654da2cba07ffba2a5a`
BLAKE2b-256	`eda14fabb45338f60161ac5814c8411d4413c156c3b6fb07c366ce263c8adbf2`

Hashes for rpycocotools-0.0.3-cp38-none-win32.whl

Hashes for rpycocotools-0.0.3-cp38-none-win32.whl
Algorithm	Hash digest
SHA256	`f8f00ad356bc98bcc47b27563fd127b899c212fe26196b59f99ba876df737333`
MD5	`ee8e803830071f339c1449d164efeaac`
BLAKE2b-256	`975b0b29f6c920fd758c72eda19ff3ec04bfceffb9931813fa92bfd8cb7abe0f`

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`ef7d72dd4b80f3c7ce6350c133f5347a7d10f14d8fde4229dc30a25368c7893b`
MD5	`d300d62684f32da699717c9790b3759f`
BLAKE2b-256	`76c05d2e886fbac845c066a741aea9e1eb3aba49bf0aa74d8c7400f6b032a137`

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm	Hash digest
SHA256	`57c54d12a3a65da3c16e4de22a23d2ff13367418f447d7b03ce6ab00d6646458`
MD5	`4741a464ad8663b153e31b7d316fb6f4`
BLAKE2b-256	`767c90e5742af0a98da0a82d268ffa6d3531ee326ec2521dc45bbad1501d1a9e`

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm	Hash digest
SHA256	`32ebc14cd2b4fb604014aa5cb8d06b31a84006fa8a4935bfeea7d89163a6a266`
MD5	`f66eb2b455fef3d5c2c674cfca64020c`
BLAKE2b-256	`1ac9e5190b7ffe3db34f338928bb45e8c7db5ba506629544b43fd19df6fd1e84`

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for rpycocotools-0.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`d0f123a38b9780af72a5cb322122d1be4c06d6043c5440b2813514d33c0d3e4a`
MD5	`044deef2e0127503621da4d0096250ba`
BLAKE2b-256	`3dcd3892f7c1a9faa555598f9da078badba8af1e90d02af368dc7144acb85df2`