Udemy - Python and OpenCV for Computer Vision - Quick Starter

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[ FreeCourseWeb.com ] Udemy - Python and OpenCV for Computer Vision - Quick Starter
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Course Starter
    • 1. Course Starter - How to approach the course.mp4 (18.6 MB)
    • 1. Course Starter - How to approach the course.srt (7.0 KB)
    10. Built-in Modules - DateTime, Math, Random, Statistics, Sys, OS
    • 1. Objectives.mp4 (1.8 MB)
    • 1. Objectives.srt (1.4 KB)
    • 2. DateTime.mp4 (29.1 MB)
    • 2. DateTime.srt (7.4 KB)
    • 2.1 DateTime.ipynb (7.9 KB)
    • 3. Math, Random and Statistics.mp4 (22.1 MB)
    • 3. Math, Random and Statistics.srt (6.3 KB)
    • 3.1 Math_Random_Statistics.ipynb (8.2 KB)
    • 4. Sys and OS.mp4 (20.9 MB)
    • 4. Sys and OS.srt (5.6 KB)
    • 4.1 Sys_OS.ipynb (6.2 KB)
    11. External Libraries - Numpy, Pandas, Matplotlib, OpenPyXL
    • 1. Objectives.mp4 (1.8 MB)
    • 1. Objectives.srt (1.4 KB)
    • 2. Numpy.mp4 (55.2 MB)
    • 2. Numpy.srt (17.0 KB)
    • 2.1 numpy.ipynb (19.6 KB)
    • 3. Pandas.mp4 (78.0 MB)
    • 3. Pandas.srt (19.1 KB)
    • 3.1 pandas.ipynb (65.4 KB)
    • 4. Matplotlib.mp4 (29.5 MB)
    • 4. Matplotlib.srt (8.2 KB)
    • 4.1 matplotlib.ipynb (105.8 KB)
    • 5. OpenPyXL.mp4 (52.5 MB)
    • 5. OpenPyXL.srt (11.6 KB)
    • 6. Quiz on Python Concepts.html (0.2 KB)
      • openpyxl
      • employee_data.xlsx (8.1 KB)
      • employee_data_org.xlsx (8.1 KB)
      • employee_details.xlsx (8.1 KB)
      • employee_details_org.xlsx (8.1 KB)
      • openpyxl.ipynb (15.5 KB)
      12. Introduction to OpenCV
      • 1. Objectives.mp4 (1.5 MB)
      • 1. Objectives.srt (0.9 KB)
      • 2. What is OpenCV.mp4 (6.1 MB)
      • 2. What is OpenCV.srt (2.3 KB)
      • 3. Tool Setup - OpenCV - Ubuntu.mp4 (4.8 MB)
      • 3. Tool Setup - OpenCV - Ubuntu.srt (2.6 KB)
      • 4. Tool Setup - OpenCV - Windows.mp4 (5.2 MB)
      • 4. Tool Setup - OpenCV - Windows.srt (2.3 KB)
      • 5. Image Basics.mp4 (33.5 MB)
      • 5. Image Basics.srt (3.0 KB)
      • 6. Image Reading , Writing and Resizing.mp4 (55.1 MB)
      • 6. Image Reading , Writing and Resizing.srt (9.8 KB)
      • 6.1 OpenCV for Reading_Writing_Resizing.ipynb (164.9 KB)
      13. Image Thresholding
      • 1. Objectives.mp4 (1.2 MB)
      • 1. Objectives.srt (0.9 KB)
      • 2. Simple Thresholding, Adaptive Thresholding and Otsu's Binarization.mp4 (41.0 MB)
      • 2. Simple Thresholding, Adaptive Thresholding and Otsu's Binarization.srt (7.3 KB)
      • 2.1 Image Thresholding.ipynb (135.4 KB)
      14. Image Noise Removal
      • 1. Objectives.mp4 (1.3 MB)
      • 1. Objectives.srt (0.8 KB)
      • 2. Noise Removal - Small Dots, Image Blurring, Dilation, Erosion and Kernels.mp4 (94.1 MB)
      • 2. Noise Removal - Small Dots, Image Blurring, Dilation, Erosion and Kernels.srt (16.0 KB)
      • 2.1 Image Noise Removal.ipynb (517.6 KB)
      15. Image Cropping & Rotation Techniques
      • 1. Objectives.mp4 (654.4 KB)
      • 1. Objectives.srt (0.6 KB)
      • 2. Image Cropping & Rotation.mp4 (26.2 MB)
      • 2. Image Cropping & Rotation.srt (5.4 KB)
      • 2.1 Image Cropping_Rotation.ipynb (249.5 KB)
      16. Image Annotation
      • 1. Objectives.mp4 (938.1 KB)
      • 1. Objectives.srt (0.7 KB)
      • 2. Draw Text, Rectangle, Circle and Line on Image.mp4 (29.5 MB)
      • 2. Draw Text, Rectangle, Circle and Line on Image.srt (6.2 KB)
      • 2.1 Image Annotation.ipynb (586.0 KB)
      17. Image Detection Techniques
      • 1. Objectives.mp4 (1,009.1 KB)
      • 1. Objectives.srt (0.8 KB)
      • 2. Image Detection - Blob, Edge and Contour.mp4 (90.4 MB)
      • 2. Image Detection - Blob, Edge and Contour.srt (16.5 KB)
      • 2.1 Image Detection.ipynb (7.5 KB)
      18. OpenCV for Videos
      • 1. Objectives.mp4 (815.9 KB)
      • 1. Objectives.srt (0.6 KB)
      • 2. Reading from Recorded Video & Reading and Writing from LIVE camera.mp4 (62.6 MB)
      • 2. Reading from Recorded Video & Reading and Writing from LIVE camera.srt (11.2 KB)
      • 3. Quiz on OpenCV Concepts.html (0.2 KB)
        • opencv_on_videos
        • Cars.mp4 (13.1 MB)
        • python_for_videos_using_opencv.ipynb (4.5 KB)
        19. LIVE Projects
        • 1. Project 1 - Python Web Scraping using BeautifulSoup and RegEx.mp4 (62.1 MB)
        • 1. Project 1 - Python Web Scraping using BeautifulSoup and RegEx.srt (11.7 KB)
        • 2. Project 2 - Sending Email with Python (Flask).mp4 (39.0 MB)
        • 2. Project 2 - Sending Email with Python (Flask).srt (8.0 KB)
        • 3. Project 3 - Extract text from PDF using Python.mp4 (75.3 MB)
        • 3. Project 3 - Extract text from PDF using Python.srt (10.1 KB)
        • 4. Project 4 - Template matching using OpenCV.mp4 (48.2 MB)
        • 4. Project 4 - Template matching using OpenCV.srt (10.4 KB)
        • 5. Project 5 - Track Object by Marking in Live Camera using OpenCV.mp4 (26.7 MB)
        • 5. Project 5 - Track Object by Marking in Live Camera using OpenCV.srt (3.8 KB)
          • PythonforPDF input
          • example.pdf (28.3 KB)
          • letter.pdf (22.2 KB)
          • resume.pdf (45.9 KB)
          • sample.pdf (8.4 KB)
          • test.pdf (243.7 KB)
          • watermark.pdf (32.2 KB)
          • pdfminerfile.py (0.9 KB)
          • pdftoText.py (2.7 KB)
          • pymupdf.py (0.2 KB)
          • requirements.txt (0.0 KB)
            • SendEmails
            • README.txt (10.5 KB)
            • config.py (0.2 KB)
            • emailSend.py (1.6 KB)
            • requirements.txt (0.0 KB)

              • Description

              Python and OpenCV for Computer Vision - Quick Starter



              Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
              Language: English | Size: 1.81 GB | Duration: 6h 40m
              Learn Python coding language and OpenCV algorithms to build your own Computer Vision and Deep Learning Solutions
              What you'll learn
              Learn Python for practical usage to build your solutions and become expert
              Understand Python with Data Types, Operators, Loops, Functions, Modules, File Handling along with best coding practices
              Work with Advanced Python concepts - Lambda, Object Oriented Programming, Decorator and Generator
              Learn to use Built-in Libraries of Python - DateTime, Math, Random, Statistics, Sys, OS
              Build expertise on Numpy, Pandas, Matplotlib and OpenPyXL
              Understand the basics of OpenCV to work on images and videos
              Use OpenCV to apply Simple Thresholding, Adaptive Thresholding and Otsu's Binarization
              Work with Noise Removal techniques including Morphological Operations, Small Dots and Noise, Image Blurring, Dilation and Erosion
              Become proficient in Image Cropping & Rotation, Image Annotation and Image Detection
              Learn how to use OpenCV for LIVE webcam and recorded video
              Build Python Solutions for Web Scraping, Sending Email using Flask App and Text Extraction from PDF Document
              Build OpenCV Solutions for Template Matching and Tracking Object by Marking in LIVE Camera

              Description
              This is the best course to quickly grasp the knowledge of Python and OpenCV and become proficient to design Computer Vision and Deep Learning solutions.

              With the AI-fueled organization trend getting momentum, the industry is in dire need of Computer Vision experts who are proficient in Python and OpenCV. This course has been designed to start with the basics of Python coding language comprising of Data Types, Operators, Loops, Functions, Modules, File Handling, Exception Handling along with Popular Coding Practices and then slowly take you through the advanced Python concepts such as Lambda, Map, Filter, Object Oriented Programming, Decorator, Generator, DateTime, Math, Random, Statistics, Sys, OS, Numpy, Pandas, Matplotlib and OpenPyXL in detail.

              Not only this, the course takes it one step further by providing comprehensive coverage of OpenCV topics including Image Thresholding, Image Noise Removal, Image Cropping & Rotation, Image Annotation, Image Detection and also OpenCV for Videos with 35+ supporting notebooks available for download that contain examples for practice. The quiz at the end of each key topic helps you to assess your knowledge and identify the improvement areas. In addition to this, the 5 LIVE projects towards the end of course are the most sought-after computer vision solutions in industry right now on which you get a detailed code walkthrough along with downloadable source code.



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Udemy - Python and OpenCV for Computer Vision - Quick Starter

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Download torrent
1.8 GB
seeders:13
leechers:11
Udemy - Python and OpenCV for Computer Vision - Quick Starter

Torrent hash: 92C26F3CF1D0D365C8A111C0238A7686A22AF4BF