Suchergebnisse - Pip Install Opencv-Python

QRGB++ in Python running in Visual Studio Code with a graphical interface (pip install kivy) + pip install pillow + pip install qrcode[pil] + pip install opencv-python

Autoren: Anderson, Ibar Federico

Schlagwörter: opencv-python (cv2), Pillow (PIL), Code QR, qrcode[pil], os, App, webbrowser, Diseño Industrial, RGB color system, Python, Kivy

Dateibeschreibung: application/pdf

QRGB++ en Python corriendo en Visual Studio Code con interfaz grafica (pip install kivy) + pip install pillow + pip install qrcode[pil] + pip install opencv-python

Autoren: Anderson, Ibar

QRGB++: App sustentable, solidaria e innovadora para aumentar la densidad de información acumulada en un Código QR por el método 3-en-1 del sistema de colores RGB, utilizando librerías de código abierto en Python en Visual Studio Code

Autoren: Ibar Federico Anderson

Schlagwörter: Visual Studio Code, Engineering, Pip Install Opencv-Python, Code QR, Color RGB, App pip install kivy Pip Install Pillow, Pip Install Qrcode[pil], Arts and Humanities, App Python, Diseño Industrial, Pip Install Kivy, Education

Dateibeschreibung: application/pdf

QRGB++: App sustentable, solidaria e innovadora para aumentar la densidad de información acumulada en un Código QR por el método 3-en-1 del sistema de colores RGB, utilizando librerías de código abierto en Python en Visual Studio Code

Autoren: Anderson, Ibar Federico

Schlagwörter: Diseño Industrial, App Python, Pip Install Kivy, Pip Install Opencv-Python, App pip install kivy Pip Install Pillow, Pip Install Qrcode[pil], Code QR, Color RGB, Visual Studio Code

Dateibeschreibung: application/pdf

Relation: http://sedici.unlp.edu.ar/handle/10915/175074

Verfügbarkeit: http://sedici.unlp.edu.ar/handle/10915/175074

QRGB+: Advanced QR Code Generator with RGB Color Method in Python to Expand Data Capacity

Autoren: Anderson, Ibar Federico

Schlagwörter: RGB, Engineering, Pip install open-cv python, Pip install qrcode(pil), Pip install pillow, QR Code, Color, Arts and Humanities, Rep.it IDE, Diseño Industrial, Education, Python

Dateibeschreibung: application/pdf

Zugangs-URL: http://sedici.unlp.edu.ar/handle/10915/169498

Python: How it Helps Run IoT Devices: Python's strength lies in its English-like syntax, the nimble MicroPython, and an extensive library of modules. It's a great tool for prototyping, developing, and operating various IoT devices.

Autoren: Arichandrapandian, Thangaselvi

Quelle: Open Source For You; Dec2023, Vol. 12 Issue 2, p78-81, 4p

Schlagwörter: PYTHON programming language, DEEP learning, PYTHONS, INTERNET of things, COMPUTER vision, DATABASES, SYNTAX (Grammar)

ModuleGuard: Understanding and Detecting Module Conflicts in Python Ecosystem.

Autoren: Zhu, Ruofan Wang, Xingyu Liu, Chengwei et al.

Quelle: ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

Schlagwörter: PYTHON programming language, COMPUTER software development, INTEGRATED software, NAMESPACE (Computer science), SOFTWARE engineering

Apprendre à YOLO à jouer à Pierre/Feuille/Ciseaux. (French)

Autoren: Philippart, Stéphane

Quelle: Programmez! Le Magazine des Programmeurs; mar/avr2025, Issue 268, p11-17, 7p, 5 Color Photographs, 3 Diagrams

Hand-Gesture Recognition System for Sustainable Technology in Environmental Monitoring.

Autoren: Nayak, Pooja Dixit, Kanchana M. Patil, Keerti et al.

Quelle: International Journal of Environmental Sciences (2229-7359); 2025, Vol. 11 Issue 7, p216-222, 7p

Schlagwörter: HUMAN-computer interaction, MACHINE learning, BIOMETRIC identification, DEEP learning

Detection of drowsiness to ensure safety while driving.

Autoren: Manoli, Sunil Priya, Navneet Chaitra et al.

Quelle: AIP Conference Proceedings; 2024, Vol. 2742 Issue 1, p1-6, 6p

Schlagwörter: TRANSPORTATION security measures, FATIGUE (Physiology), TRAFFIC accidents, DROWSINESS, PHYSICAL training & conditioning

Teoría, práctica e innovación pedagógica, un estudio de caso multidisciplinario en la E.E.T. Nº 2 “Independencia” (E.R., R.A.): Integrando STEM, ciencias sociales y publicaciones internacionales a través del Proyecto B374, SCyT-FBA-UNLP. (Spanish)

Autoren: Federico Anderson, Ibar

Quelle: Cuadernos del Centro de Estudios de Diseño y Comunicación; 2025/2026, Vol. 28 Issue 279, p137-146, 10p

Schlagwörter: TECHNICAL education, INDUSTRIAL revolution, TECHNOLOGICAL revolution, SECULARIZATION, PROFESSIONALIZATION

SIGN LANGUAGE DETECTION USING CNN MODEL.

Autoren: NAGA KEERTHI, MUPPALA KALAHYNDAVI, PRATHAPARAO

Quelle: International Scientific Journal of Engineering & Management; Jul2025, Vol. 4 Issue 7, p1-10, 10p

Schlagwörter: NATURAL language processing, CONVOLUTIONAL neural networks, COMPUTER vision, ORAL communication, DEEP learning, SIGN language

RASPBERRY PI КОМПЬЮТЕРЛІК КӨРУДІ ПАЙДАЛАНАТЫН ҚЫЗМЕТКЕРЛЕРДІҢ ЭМОЦИОНАЛДЫҚ КҮЙІН ТАНУ ЖҮЙЕСІН ӘЗІРЛЕУ. (Kazakh)

Alternate Title: EVELOPMENT OF A SYSTEM FOR RECOGNITION OF THE EMOTIONAL STATE OF EMPLOYEES USING COMPUTER VISION ON RASPBERRY PI. (English)
РАЗРАБОТКА СИСТЕМЫ РАСПОЗНАВАНИЯ ЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ СОТРУДНИКОВ С ПРИМЕНЕНИЕМ КОМПЬЮТЕРНОГО ЗРЕНИЯ НА RASPBERRY PI. (Russian)

Autoren: Есенгалиева, Ж. С. Каиржан, Р. С. Глазырина, Н. С.

Quelle: Vestnik KazUTB; 2025, Vol. 2 Issue 27, p101-111, 11p

Schlagwörter: ARTIFICIAL neural networks, ARTIFICIAL intelligence, PATTERN recognition systems, COMPUTER vision, CONVOLUTIONAL neural networks

YukiHoshino0203/KokoroSystem-ARC-AGI2: KokoroSystem-ARC-AGI2

Autoren: YukiHoshino0203

Relation: https://github.com/YukiHoshino0203/KokoroSystem-ARC-AGI2/tree/v1.0.2; https://zenodo.org/records/16756179; oai:zenodo.org:16756179; https://doi.org/10.5281/zenodo.16756179

Verfügbarkeit: https://doi.org/10.5281/zenodo.16756179
https://zenodo.org/records/16756179

An evolutionarily conserved pathway mediated by neuroparsin-A regulates reproductive plasticity in ants.

Autoren: Zhang, Xiafang Xie, Nianxia Ding, Guo et al.

Quelle: PLoS Biology; 8/12/2024, Vol. 22 Issue 8, p1-27, 27p

Schlagwörter: GENE regulatory networks, QUEENS (Insects), PHENOTYPIC plasticity, PEPTIDES, OVARIES

Grapevine Branch Recognition and Pruning Point Localization Technology Based on Image Processing.

Autoren: Chen, Zhangnan Wang, Yaxiong Tong, Siyuan et al.

Quelle: Applied Sciences (2076-3417); Apr2024, Vol. 14 Issue 8, p3327, 20p

Schlagwörter: IMAGE processing, CABERNET wines, TREE pruning, COMPUTER vision, FRUIT trees, PROBLEM solving

Knowledge-based environment dependency inference for python programs.

Autoren: Ye, Hongjie Chen, Wei Dou, Wensheng et al.

Quelle: ICSE: International Conference on Software Engineering; 2022, p1245-1256, 12p

Schlagwörter: PYTHON programming language, LIBRARIES, EMPIRICAL research, TRANSLATORS, SUBGRAPHS, GRAPH theory

A detailed protocol for cell force measurement by traction force microscopy.

Autoren: Man Zhang Yu Zhang Peng Wang et al.

Quelle: Smart Materials in Medicine; Mar2024, Vol. 5 Issue 1, p106-113, 8p

Schlagwörter: PARTICLE image velocimetry, CYTOLOGY, MICROSCOPY, FOURIER transforms, DATA analysis

Novel Artificial Intelligence Tool for Real-time Patient Identification to Prevent Misidentification in Health Care.

Autoren: Rajurkar, Shriram Verma, Teerthraj Mishra, S. P. et al.

Quelle: Journal of Medical Physics; Jan-Mar2024, Vol. 49 Issue 1, p41-48, 8p

Schlagwörter: ARTIFICIAL intelligence, IDENTIFICATION, PYTHON programming language, MEDICAL care, ANONYMOUS persons, ACQUISITION of data

Detecting-Warning-Labels-on-E-Cigarette-Content

Autoren: Babaeianjelodar, Marzieh orcid:0009-0002-3514- Sharp, Kellen et al.

Relation: https://zenodo.org/records/15191022; oai:zenodo.org:15191022; https://doi.org/10.5281/zenodo.15191022

Verfügbarkeit: https://doi.org/10.5281/zenodo.15191022
https://zenodo.org/records/15191022