Bu uygulamada Python ve Opencv kullanarak bilgisayar kamerasından yüz tespiti yapıyoruz.
Bilgisarın kendi kamerasını kullanmak için; KAMERA = cv2.VideoCapture(0)
Bilgisayara USB ile bağlanan bir kamera için; KAMERA = cv2.VideoCapture(1) kullanılmalıdır.
Kodları açıkladığım video'ya buradan ulaşabilirsiniz: https://www.youtube.com/watch?v=f2wAuvJ4594
Attention-OCR Authours: Qi Guo and Yuntian Deng Visual Attention based OCR. The model first runs a sliding CNN on the image (images are resized to hei
Scene-Referred Image Collection A collection of OpenEXR Scene-Referred images, encoded as max 2048px width, DWAA 80 compression. All exrs are encoded
GenshinAutoPlayBalladsofBreeze 原神风花节自动弹琴辅助（已适配1920*1080分辨率） 本程序基于opencv图像识别技术，不存在任何封号。 因为正确率取决于你的cpu性能，10900k都不一定全对。 由于图像识别存在误差，根本无法确定出错时间。更不用说被检测到了。
Screenshot OCR Tool Extracting data from screen time screenshots in iOS and Android. We are exploring 3 options: Simple OCR with no text position usin
R2CNN_Faster_RCNN_Tensorflow Abstract This is a tensorflow re-implementation of R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detecti
2021-06-08 paper code optimal network slicing for service-oriented networks with flexible routing and guaranteed e2e latency networkslicing multi-moda
EasyVtuber Facial landmark와 GAN을 이용한 Character Face Generation Google Meets, Zoom 등에서 자신만의 웹툰, 만화 캐릭터로 대화해보세요! 악세사리는 어느정도 추가해도 잘 작동해요! 안타깝게도 RTX 2070
onemetric Installation Install onemetric from PyPI (recommended): pip install onemetric Install onemetric from the GitHub source: git clone https://gi
A simple QR-Code Reader written in Python, that copies the content of a QR-Code directly into the copy clipboard.
Scene-Text-Detection-with-SPCNET Unofficial repository for [Scene Text Detection with Supervised Pyramid Context Network][https://arxiv.org/abs/1811.0
Speed Prediction using Optical Flow and 2D CNN About the challenge: Comma.AI Speed Challenge This challenge was developed by Comma.AI to predict the s
TC2008B Course material for the Multi-agents and computer graphics course. Setup instructions Strongly recommend using a custom conda environment. Ins
Real Time Object Recognition From your Screen Desktop . In this post, I will explain how to build a simply program to detect objects from you desktop
Awesome Scene Text A curated list of papers and resources for scene text detection and recognition The year when a paper was first published, includin
Ocular Ocular is a state-of-the-art historical OCR system. Its primary features are: Unsupervised learning of unknown fonts: requires only document im
ReviewKD Distilling Knowledge via Knowledge Review Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia This project provides an implementation for the
Requirements: Python 3 (probably at least 3.4) pipenv (pip3 install pipenv) tesseract (brew install tesseract, at least if you have a mac and homebrew
EnergyExpenditure Code for the "Sensing leg movement enhances wearable monitoring of energy expenditure" paper. Additional data for replicating this s
Overview Nidaba is the central controller for the entire OGL OCR pipeline. It oversees and automates the process of converting raw images into citable
DeRPN: Taking a further step toward more general object detection DeRPN is a novel region proposal network which concentrates on improving the adaptiv
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