Wheelodex » Projects » cnstd

cnstd

View on PyPI — Reverse Dependencies (3)

1.2.3.6 cnstd-1.2.3.6-py3-none-any.whl

Wheel Details

Project: cnstd
Version: 1.2.3.6
Filename: cnstd-1.2.3.6-py3-none-any.whl
Download: [link]
Size: 246507
MD5: 159092cd3e8c3db454604178660990f4
SHA256: a43fb60d17970b97d5ae5518552a0e997e4c43d398f8571c873cb31cadd12cc4
Uploaded: 2024-04-10 14:00:09 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: cnstd
Version: 1.2.3.6
Summary: Python3 package for Chinese/English Scene Text Detection (STD), Mathematical Formula Detection (MFD), and Layout Analysis, with free pretrained models
Author: breezedeus
Author-Email: breezedeus[at]163.com
Home-Page: https://github.com/breezedeus/cnstd
License: Apache 2.0
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: Implementation
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Platform: Mac
Platform: Linux
Platform: Windows
Requires-Dist: click
Requires-Dist: tqdm
Requires-Dist: pyyaml
Requires-Dist: unidecode
Requires-Dist: torch (>=1.8.0)
Requires-Dist: torchvision (>=0.9.0)
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: pytorch-lightning
Requires-Dist: pillow (>=5.3.0)
Requires-Dist: opencv-python (>=4.0.0)
Requires-Dist: shapely
Requires-Dist: Polygon3
Requires-Dist: pyclipper
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: onnx
Requires-Dist: huggingface-hub
Requires-Dist: pip-tools; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: onnxruntime; extra == "ort-cpu"
Requires-Dist: onnxruntime-gpu; extra == "ort-gpu"
Provides-Extra: dev
Provides-Extra: ort-cpu
Provides-Extra: ort-gpu
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 20118 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
cnstd/__init__.py sha256=sRmiFtNuv0kTI1hVa56H_MD1ybpt370mRuBg6Ehdv10 1025
cnstd/__version__.py sha256=RzSAr0giPyXH8fYjBr0BXUZ-qNNpU4H8Lk6BuEqDb4U 898
cnstd/app.py sha256=_Rj5HZZC9b-ra7J1MK8F1D3TXriO6JeAKjneRNw5eMs 4891
cnstd/cli.py sha256=QfAeC5HvM1aCT9kr6LDYDheknajAzdTzEKrecIFaxEc 14425
cnstd/cn_std.py sha256=pQH3_TXtWw8xnolZ6enxuRzpLuKntk5VUFR0UwKH2cM 10018
cnstd/consts.py sha256=aBYbEWLiGoylWjoatzG0Rj5gwb5bgMe3M8KMhl-CkdA 9107
cnstd/detector.py sha256=mGGOe_ICDc-RPw8DdBGW7t2gO7qLr8BXInMcPJuLSCo 12290
cnstd/lr_scheduler.py sha256=J4GR0r2BL4TNunTGrL7qUu5t_0FBEzg-3q16kgvJVPk 7573
cnstd/trainer.py sha256=M77chRVIZrFWV4am9P2mbkwIeDaqcKQkoxDd-14CLz4 8872
cnstd/datasets/__init__.py sha256=gFDPNJLC7V_AuVMFk4RZy3eyJ6pyrOsWbwPOOpZ3wDw 916
cnstd/datasets/dataset.py sha256=Z5gmZdxT3ZZABO8bSe5FuzcegS4cLIeD95fsp26_d2o 10658
cnstd/datasets/util.py sha256=Zl92B4UDCOHstn7zfCgcrneCPW4x9z7zRElK0P4FA90 8936
cnstd/model/__init__.py sha256=96ShVdPTdm3oX5xY-sRQM9BbjwfJ3MUxjrA8Z_HqMJo 1733
cnstd/model/base.py sha256=LOlyDvbIBfC-1PaXTCJrbP8wUBadlW9Dl3tU7R4ddzg 15884
cnstd/model/core.py sha256=T862x9CL1G9J9LXozkGBUb5q1wp_irvF0m8WDgBCIxc 10519
cnstd/model/dbnet.py sha256=peEp2dgXuGBLf6gisZ9nWE8nlokkMSjmJsRLuh5WA00 10061
cnstd/model/fpn.py sha256=xtCEmDgC7UW4kFzr5zCZ2yUPD5zzbD60DStZATy_ZaM 4061
cnstd/ppocr/__init__.py sha256=eUPKAMg9g6L_rsR4MW-VRvDotq4aPO0d4IjRr_QNcog 1070
cnstd/ppocr/angle_classifier.py sha256=lk22JzoR53UHCweV1Fymf3pSG-FjLGarsaBDcTkP7K0 7636
cnstd/ppocr/consts.py sha256=MXqlK9kPFl1SMGCVv-RdCU97s2BKu_5XZb0jEjsoPZM 1192
cnstd/ppocr/img_operators.py sha256=gCyzxi_P_bXlxDQ_g0KPMNNRi2H6hVrRHGAOMXWnH5I 14517
cnstd/ppocr/opt_utils.py sha256=iDZaj2IvLznm1Lx7rBsTIyxX8OCllL6Vf8da5TJP0Es 1856
cnstd/ppocr/pp_detector.py sha256=GzxXfSRP6D_IX0KP9VNtz0ENYuMEh7zZhl9M3PbJtq4 11682
cnstd/ppocr/predict_rec.py sha256=AqcsjA4lv2kk1ki3YYT4Ni51hK3p1ZzEsDew-_39qZ0 17083
cnstd/ppocr/predict_system.py sha256=cUVp33M0lnEFTOBqqF1xlt6efPJU96xm1NoakDPmGvs 8506
cnstd/ppocr/utility.py sha256=XyEiFdA5mzMTvPzrFuNE8dL_caF3Jqnxlfs2w-kBROY 18879
cnstd/ppocr/postprocess/__init__.py sha256=5ez-KY6giMjUMOVgxrr0jddqTyHL5o_4Zd_YZFTIaFA 1636
cnstd/ppocr/postprocess/cls_postprocess.py sha256=3-6zc4Uhdeuzj6zDzu49RRnvZ5A5bMEWvP90WjQnVSM 1522
cnstd/ppocr/postprocess/db_postprocess.py sha256=ougBm047ZVeOjkkSA9jLRFle6Iyrl-q6jS2flAThLn4 8091
cnstd/ppocr/postprocess/east_postprocess.py sha256=Pr1OR3KY46pTUBhviFbH2QbAF-ggK61xSrYn2lGL6sM 5103
cnstd/ppocr/postprocess/locality_aware_nms.py sha256=jZdEh8UXiL5PE-T16QuHE5xDA9FjNg045UEM_o-Mj44 5034
cnstd/ppocr/postprocess/pg_postprocess.py sha256=BavWTslrnfjniDv-MQxJphJfwN1ucz2wR0xsSLko8_g 1813
cnstd/ppocr/postprocess/rec_postprocess.py sha256=AfMYMZ-HNAGN-Ry2r6ZBtPiNjjxnRwxwBS7n98VpreE 25211
cnstd/ppocr/postprocess/sast_postprocess.py sha256=DVA_SFxQLlnIUmQOcMGTpgaEwDHt6ET7yGTqedMTS9I 13673
cnstd/ppocr/postprocess/pse_postprocess/__init__.py sha256=bsMGz9LSGP9Z-yhaeD3bmryUeXYOyBrHq4v9V-la4H0 654
cnstd/ppocr/postprocess/pse_postprocess/pse_postprocess.py sha256=6L-ul4A7sDWxMRSbqRpksJ7DDcW6HF24zzRelsMRo0w 4047
cnstd/ppocr/postprocess/pse_postprocess/pse/__init__.py sha256=e4yL3dNTyXFNuo283r5nStuSR4p-pUHuw34jeY55C1o 1145
cnstd/ppocr/postprocess/pse_postprocess/pse/setup.py sha256=snDmCxv7wF-ZJET1xoE477zLdUFoZqgU58TLM3CIYwo 326
cnstd/transforms/__init__.py sha256=ewDrV8HoDGj4Oj_MgDT1U-Oa9JMnsPx7thF_g8IsIEY 1009
cnstd/transforms/base.py sha256=v_tTUFciE0BB184CBpsAT0b5kikiyigSgZjrwy8Idr4 4029
cnstd/transforms/process_data.py sha256=8DR68dQdiFRXANYeKfcvqc8qUNAuvAHvh8dMsaC8-VY 11529
cnstd/transforms/random_crop.py sha256=9n-hQbyk8swNPQahJ_ocMqzAb_FF3v5Cc4JwZ-vLCwU 2836
cnstd/transforms/resize.py sha256=t85aueEkJAqel7tYRCc9mrQpiMx4yxiy61bJ5bPaw-Y 3018
cnstd/transforms/utils.py sha256=bZNk2kzCu1xIhb7AyQbfjg6WZltombGvxuQscGPh0Z4 4109
cnstd/utils/__init__.py sha256=vV7C54KQPEG6tMlrhtxaa9RDZ_EeLsZTWRSJooCHH_Y 1043
cnstd/utils/_utils.py sha256=ZTNao4mj2vsjNf03n--WESPVMkvx04z1zkxo61La7IM 9475
cnstd/utils/common_types.py sha256=jNuCYhCVoTGVSXlLQco6sAORGcbZdvWC-sBMBwbYM_8 1236
cnstd/utils/geometry.py sha256=k6uuj-ivOaJqqB4soXhFtzQ2Hw2TOZzUlPM-GaUyXqw 4329
cnstd/utils/metrics.py sha256=mrj10aTrM-w4Ac_oJ0KQ-2MjVszbMmQH8hQ8K8u-fDw 15158
cnstd/utils/repr.py sha256=i1seLc5IZEXaqo0fR1KWNEEEDBdZPCyhF4xeuROhzgs 2649
cnstd/utils/utils.py sha256=24HgXWzl8K_zylhEQXMFFv3VqobcpECnWeJLuvMl4jo 18273
cnstd/yolov7/__init__.py sha256=59kegTiKoCfxSfCnoh-LPL0Hgs51hD4hSpthDLgfNxs 869
cnstd/yolov7/autoanchor.py sha256=MFk1Se5oQnRPdLrTVSIMvYVpdsGOEAwCCkfC4lANP9o 8109
cnstd/yolov7/common.py sha256=CkzX5juPCJVHg7H74qjDChOEc2lpYRWUayrPeVD_pSA 85276
cnstd/yolov7/consts.py sha256=YIO1k4dmHOllU2T4RFYE7--PrfBXYfP1jvYLDvFfx9A 1300
cnstd/yolov7/datasets.py sha256=o0Ml0tkRlRklkkAzj8CHNrhS2aL7D0Wk6-JK7IOs0Tg 57174
cnstd/yolov7/experimental.py sha256=SWHq6LC17w1F12Mjxvb71buqV4yGPIcKZMFJwmkhEdQ 11822
cnstd/yolov7/general.py sha256=KF7CXeLl4GWsZh6c3zszs3frIoiQqgitMmcTsbeP8sw 38706
cnstd/yolov7/layout_analyzer.py sha256=fSrxltsG4oarBvAaYNWYvYnKISaLWuKpcmYTq_h8zkY 15109
cnstd/yolov7/loss.py sha256=aqfjVdDJdh96xM9H4L7DBEer7qi8Ik74_UReDLrg04g 75901
cnstd/yolov7/metrics.py sha256=0TzzgcF-cMIfXJYO8_BXYQqEm-jAbmDyTB-KRrpXfaY 10277
cnstd/yolov7/plots.py sha256=g4SXnSy5LieVaMgGrH81LEYhexfUulUQ8fRN7wtuKzk 22030
cnstd/yolov7/torch_utils.py sha256=6x0LwYobLfrb9J30icD5-Jq34Jz9QGbX_UFET4yFEQE 16420
cnstd/yolov7/yolo.py sha256=X6AbM-T0ySTF0267-gDUmuwRIXn6WqCBbsuHX_cUCP8 40992
cnstd/yolov7/yolov7-mfd.yaml sha256=jhzzDj2QVO9yGibi3WndBrVwBz45eLKAI5_PGTLCvY0 5010
cnstd/yolov7/yolov7-tiny-layout.yaml sha256=VhvHYSJlyYvdCXMQ1lTfjGY9kX8MwsbaohgrnwYlOXc 5586
cnstd/yolov7/yolov7-tiny-mfd.yaml sha256=zyFWKFWi4Q1hiu1oDLyQPdkYf5nh7lvMe3P-ThaYnp0 5630
cnstd-1.2.3.6.data/data/yolov7-mfd.yaml sha256=jhzzDj2QVO9yGibi3WndBrVwBz45eLKAI5_PGTLCvY0 5010
cnstd-1.2.3.6.data/data/yolov7-tiny-layout.yaml sha256=VhvHYSJlyYvdCXMQ1lTfjGY9kX8MwsbaohgrnwYlOXc 5586
cnstd-1.2.3.6.data/data/yolov7-tiny-mfd.yaml sha256=zyFWKFWi4Q1hiu1oDLyQPdkYf5nh7lvMe3P-ThaYnp0 5630
cnstd-1.2.3.6.dist-info/LICENSE sha256=pwB8QIJy_YfO6c5QcQV5YylKzCZPp3BJfUAwnOSCnb8 41980
cnstd-1.2.3.6.dist-info/METADATA sha256=lG-3NXM-PY-FmpB5ikKZx-d9rMa4LdKRH7FymRJvCfY 30319
cnstd-1.2.3.6.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
cnstd-1.2.3.6.dist-info/entry_points.txt sha256=M0Xboot7DwDY6YA3ggqxhiI_gOCIv-PHVENV2CW-eJY 41
cnstd-1.2.3.6.dist-info/top_level.txt sha256=z56Op57p8mWt92ICQBfRP1OC2Radh3qQMaVdvMATicM 6
cnstd-1.2.3.6.dist-info/RECORD — —

top_level.txt

cnstd

entry_points.txt

[console_scripts]
cnstd = cnstd.cli:cli