本当にいろいろありません。
1. OpenCV 旧バージョンへの講義
2.講義に慣れていないことを言うのはとても滑らかではありません。
3. 内容自体があまりにもシンプルで不良ですね

rlaejdwls8814

名刺認識を実装する実践を通じて、OpenCVを活用し、画像を処理する方法を学びます。
OpenCVについては簡単に説明し、名刺認識を実装するために必要なOpenCV関数はより詳細に説明する方法です。つまり、基礎講座というよりは名刺認識という実戦のためのエキスを提供します。 TesseractとMicrosoftのOCRエンジンを活用する方法も含まれています。

本講義のソースコードはPythonベースですが、活用するOpenCVクラスや関数と画像認識や処理技術を習得するため、これをもとにAndroidやiOSに適用することは無理はないでしょう。 
受講者は講義スライド、実際に動作する名刺認識ソースコードを提供します。 

2017年1月と2月に3回のオフラインセミナーを行い、さらに改善され検証された講義内容を講師が丁寧にオンライン用に再録したものです。

本講義で活用されるOpenCV関数です。
cv2.Canny()
cv2.GaussianBlur()
cv2.VideoCapture()
cv2.adaptiveThreshold()
cv2.approxPolyDP()
cv2.arcLength()
cv2.boundingRect()
cv2.boxPoints()
cv2.contourArea()
cv2.convertScaleAbs()
cv2.createTrackbar()
cv2.cvtColor()
cv2.destroyAllWindows()
cv2.dilate()
cv2.drawContours()
cv2.findContours()
cv2.getAffineTransform()
cv2.getPerspectiveTransform()
cv2.getTrackbarPos()
cv2.imread()
cv2.imshow()
cv2.imwrite()
cv2.minAreaRect()
cv2.namedWindow()
cv2.rectangle()
cv2.resize()
cv2.threshold()
cv2.waitKey()
cv2.warpAffine()
cv2.warpPerspective()


manager8865

OpenCVを活用した名刺認識機能の実装講座

Learn how to use OpenCV and process images through a practical implementation of business card recognition. 
OpenCV is briefly explained, and the OpenCV functions required to implement business card recognition are explained in more detail. In other words, rather than a basic course, it provides an essence for the practical application of business card recognition. It also includes a method of utilizing Tesseract and Microsoft's OCR engine. 

The source code of this lecture is based on Python, but since you will learn the OpenCV classes and functions used and the image recognition and processing technology, it will not be difficult to apply it to Android and iOS based on this. 
Those who take the course will be provided with lecture slides and actual business card recognition source code. 

The lecture contents were further improved and verified through three offline seminars in January and February 2017, and the instructor has carefully recorded them again for online use. 

These are the OpenCV functions used in this lecture. cv2.Canny()
cv2.GaussianBlur()
cv2.VideoCapture()
cv2.adaptiveThreshold()
cv2.approxPolyDP()
cv2.arcLength()
cv2.boundingRect()
cv2.boxPoints()
cv2.contourArea()
cv2.convertScaleAbs()
cv2.createTrackbar()
cv2.cvtColor()
cv2.destroyAllWindows()
cv2.dilate()
cv2.drawContour s()
cv2.findContours()
cv2.getAffineTransform()
cv2.getPerspectiveTransform()
cv2.getTrackbarPos()
cv2.imread()
cv2.imshow()
cv2.imwrite()
cv2.minAreaRect()
cv2.namedWindow()
cv2.rectangle()
cv2.resize()
cv2.threshold()
cv2.waitKey()
cv2.warpAffine()
cv2.warpPerspective()


neuralworks

dongdong1

입문

초급

중급이상

Deep Learning(DL)

오픈CV

OpenCV

Computer Vision(CV)

Business card recognition function implementation course using OpenCV

Orientation

Section 1. Introduction to OpenCV and Preparation for Practice

Section 2. Reading images (OpenCV basics)

Section 3. Extracting the outline of a business card from an image

Section 4. Converting the area drawn from the outer edge to a straight line

Section 5. Removing the influence of lighting by applying a scanned effect

Section 6. Implementing business card recognition

Section 7. Using Optical Character Recognition (OCR) Technology

Section 8. Extracting only the text area