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0.1.7 smart_reid-0.1.7-py3-none-any.whl

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Project: smart-reid
Version: 0.1.7
Filename: smart_reid-0.1.7-py3-none-any.whl
Download: [link]
Size: 20312
MD5: 177c3371fa00539a486fdb987349153f
SHA256: 2e58f85f3950a97ba25d1b2d187fe7bb9db69f824e425f49971db6a2c2dd031c
Uploaded: 2024-12-22 00:04:43 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: smart_reid
Version: 0.1.7
Summary: With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.
Author: Roboflow
Author-Email: help[at]roboflow.com
Home-Page: https://github.com/roboflow/inference
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Typing :: Typed
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8,<=3.12
Requires-Dist: supervision (==0.22.0)
Requires-Dist: numpy (==1.26.4)
Requires-Dist: pydantic (==2.8.2)
Requires-Dist: typing (==3.7.4.3)
Requires-Dist: scipy (==1.14.0)
Requires-Dist: open-clip-torch (==2.26.1)
Requires-Dist: timm (==1.0.8)
Requires-Dist: torch (==2.4.0)
Requires-Dist: mediapipe (==0.10.14)
Requires-Dist: super-image (==0.1.7)
Requires-Dist: image_similarity_measures (==0.3.6)
Requires-Dist: huggingface-hub (==0.24.6)
Description-Content-Type: text/markdown
[Description omitted; length: 146 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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smart_reid/basetrack.py sha256=JtdZ1MphYLWNgZxNBIRBGetxiyoxUD07tfY1kNzjqTI 1312
smart_reid/core.py sha256=qymYDlqZHnGC9CEZLzi8rqoijnNnsJjNjQbl077Qwis 26131
smart_reid/embed.py sha256=446vTA6PRlvryuoIrDStJ7DyAJQ444kKYjp1SkQELs8 8936
smart_reid/kalman_filter.py sha256=lpv5ZUG3L03nLL8jaOHjMudFSFS3a1LVmG_tbkj-KoE 7291
smart_reid/matching.py sha256=IBUv8_-BmBGZtMS8BiPCksmOHmzWsAHtuYXkztH17gc 2331
smart_reid/sam_cost.py sha256=OkWRDbW3imZZyBAXB5A7fi2zi2vUrK-MNac0wrYgkBY 8506
smart_reid/strack.py sha256=rEgvPUKFdMY6H4n9CdTVz_ap4SlHbYakQCsllfAzxcs 5405
smart_reid-0.1.7.dist-info/METADATA sha256=viScHhfH1yXLzEfkgfMQwrkyQQb2EYryGyt_y602BqU 1566
smart_reid-0.1.7.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
smart_reid-0.1.7.dist-info/top_level.txt sha256=T8C6j_HFE-yRra3Zto3eKzlHIb9PxlR1FGl9XyaHtGU 11
smart_reid-0.1.7.dist-info/RECORD — —

top_level.txt

smart_reid