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,,
