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توضیحات

A data quality assessment package

ویژگی	مقدار
سیستم عامل	OS Independent
نام فایل	QPrism-0.4.0
نام	QPrism
نسخه کتابخانه	0.4.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Ramzi Halabi, Zixiong Lin, Rahavi Selvarajan, Jana Kabrit, Abhishek Pratap
ایمیل نویسنده	-
آدرس صفحه اصلی	-
آدرس اینترنتی	https://pypi.org/project/QPrism/
مجوز	MIT License Copyright (c) 2022 CAMH / Krembil Center of Neuroinformatics Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

# QPrism ## Overview The QPrism Python package serves as a quality assessment toolbox for data collected using sensors in smartphones and wearables (eg. accelerometer, gyroscope, audio and video). The package leverages digital signal and image processing techniques along with machine learning algorithms to assess the quality of sensor data covering data availability, interpretability, noise contamination and consistency. QPrism is completely data-driven, requiring no a priori data assumptions or application-specific parameter tuning to generate a comprehensive data quality report. ## Installation The installation can be done with pip. Since pip does not resolve the dependencies' version efficiently, please install QPrism with the following steps. ``` $ python3 -m pip install --upgrade pip ``` ``` $ pip install -r https://raw.githubusercontent.com/aid4mh/QPrism/main/requirements.txt ``` ``` $ pip install --no-deps QPrism ``` ## Documentation The full documentation for QPrism can be accessed [here](https://qprism.readthedocs.io/en/latest/). ## Examples: We have provided throughout demo notebooks in Google Colab covered all functions. The notebooks can be accessed [here](https://github.com/aid4mh/QPrism/tree/main/tests). Note: In the sensor folder, it also contains notebooks that can validate each metric we have created, and a script demo that can be adopted by user with minor modifications. Detailed explanation for the provided examples can be found in the [documentation](https://qprism.readthedocs.io/en/latest/) ## Contributing to the project We welcome and encourage project contributions! Please see the [CONTRIBUTING.md](https://github.com/aid4mh/QPrism/blob/main/CONTRIBUTING.md) for details. ## Acknowledgments The development of QPrism package is supported by Krembil Foundation. The authors also like to acknowledge Aditi Surendra for designing the module function illustration. ## Authors - [@Ramzi Halabi](https://github.com/RamziHalabi) - [@RahaviSelvarajan](https://github.com/RahaviSelvarajan) - [@Jana-kabrit](https://github.com/Jana-kabrit) - [@ZixiongLin1](https://github.com/ZixiongLin1) - [@apratap](https://github.com/apratap) ## License [MIT License](https://github.com/aid4mh/QPrism/blob/main/LICENSE)

نیازمندی

مقدار	نام
-	combo==0.1.3
-	imageio==2.21.1
-	moviepy==1.0.3
-	numpy>=1.17.3
-	opencv-python==4.5.3.56
-	pandas==1.2.4
-	pillow==9.0.1
-	pydub==0.25.1
-	pyod==1.0.1
-	scipy==1.7.3
-	tensorflow-hub==0.10.0
-	tensorflow==2.9.1
-	torch==1.12.0

زبان مورد نیاز

مقدار	نام
>=3.7	Python

نحوه نصب

نصب پکیج whl QPrism-0.4.0:

pip install QPrism-0.4.0.whl

نصب پکیج tar.gz QPrism-0.4.0:

pip install QPrism-0.4.0.tar.gz