Python interface to the COCO-CameraTrap datasets.
Project description
pycococt
COCO-CameraTrap Indexer. An extension to pycocotools including location and sequence indexing.
Features
- Extends / Backwards compatable with pycocotools
- Indexing for Locations and Sequences
Install
pip install pycococt
Usage
from pycococt.cococt import COCOCT
ds = COCOCT('path to COCO-CameraTrap')
# all the core indexes and helpers in pycocotools
ds.imgs
ds.anns
ds.cats
ds.catToImgs
ds.imgToAnns
# with aditional camera trap indexes
ds.locs # = [
# 'Location1',
# 'Location2',
# 'Location3',
# ...
# ]
ds.locToImgs # = { 'Location1': {
# 'imageid': {
# 'id': 'imageid',
# 'location': 'Location1',
# 'height': ...
# }
# },
# ...
# }
ds.locToSeqs # = {
# 'Location1': [
# 'seq id 1_1',
# 'seq id 1_2',
# ...
# ],
# 'Location2': [
# 'seq id 2_1',
# 'seq id 2_2',
# ...
# ]
# ...
# }
ds.seqToImgs # = { 'sequence 1 id': [
# {
# 'id': 'image id',
# ...
# },
# {
# 'id': 'image id',
# ...
# },
# ...
# ],
# 'sequence 2 id: [
# ...
# ]
# ...
# }
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
pycococt-0.1.tar.gz
(2.4 kB
view details)
Built Distribution
File details
Details for the file pycococt-0.1.tar.gz
.
File metadata
- Download URL: pycococt-0.1.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/0.0.0 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 483bf3ba775c16a9f5b824f56b2ec5ad7f59e27df2a3bb5abcdfacc25203849a |
|
MD5 | 0359104771f3e969777417a7b9990a41 |
|
BLAKE2b-256 | 89173a57a9428bb7ca78d5ff610e1c02a5b95407125cf6b56ed34c9f0a720bbf |
File details
Details for the file pycococt-0.1-py3-none-any.whl
.
File metadata
- Download URL: pycococt-0.1-py3-none-any.whl
- Upload date:
- Size: 2.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/0.0.0 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3e4858f0e14b8fae18423fae6655662533d65203d5c2b5e06b0e7be7d87cf25c |
|
MD5 | 0e1ad3b7c5120bcda916b17b8290b858 |
|
BLAKE2b-256 | 70e485df681b0d65a7f5eb2e2b87c58552d53e80a70ba806c8e1c5ed9c552dd3 |