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[ FreeCourseWeb com ] Udemy - Python and OpenCV for Computer Vision - Quick Starter
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Name:[ FreeCourseWeb com ] Udemy - Python and OpenCV for Computer Vision - Quick Starter
Infohash: 92C26F3CF1D0D365C8A111C0238A7686A22AF4BF
Total Size: 1.82 GB
Magnet: Magnet Download
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Leechers: 5
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2024-03-27 04:15:11 (Update Now)
Torrent added: 2021-09-24 03:00:57
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1. Course Starter
1. Course Starter - How to approach the course.mp4
1. Course Starter - How to approach the course.srt
10. Built-in Modules - DateTime, Math, Random, Statistics, Sys, OS
1. Objectives.mp4
1. Objectives.srt
2. DateTime.mp4
2. DateTime.srt
2.1 DateTime.ipynb
3. Math, Random and Statistics.mp4
3. Math, Random and Statistics.srt
3.1 Math_Random_Statistics.ipynb
4. Sys and OS.mp4
4. Sys and OS.srt
4.1 Sys_OS.ipynb
11. External Libraries - Numpy, Pandas, Matplotlib, OpenPyXL
1. Objectives.mp4
1. Objectives.srt
2. Numpy.mp4
2. Numpy.srt
2.1 numpy.ipynb
3. Pandas.mp4
3. Pandas.srt
3.1 pandas.ipynb
4. Matplotlib.mp4
4. Matplotlib.srt
4.1 matplotlib.ipynb
5. OpenPyXL.mp4
5. OpenPyXL.srt
6. Quiz on Python Concepts.html
openpyxl
employee_data.xlsx
employee_data_org.xlsx
employee_details.xlsx
employee_details_org.xlsx
openpyxl.ipynb
12. Introduction to OpenCV
1. Objectives.mp4
1. Objectives.srt
2. What is OpenCV.mp4
2. What is OpenCV.srt
3. Tool Setup - OpenCV - Ubuntu.mp4
3. Tool Setup - OpenCV - Ubuntu.srt
4. Tool Setup - OpenCV - Windows.mp4
4. Tool Setup - OpenCV - Windows.srt
5. Image Basics.mp4
5. Image Basics.srt
6. Image Reading , Writing and Resizing.mp4
6. Image Reading , Writing and Resizing.srt
6.1 OpenCV for Reading_Writing_Resizing.ipynb
13. Image Thresholding
1. Objectives.mp4
1. Objectives.srt
2. Simple Thresholding, Adaptive Thresholding and Otsu's Binarization.mp4
2. Simple Thresholding, Adaptive Thresholding and Otsu's Binarization.srt
2.1 Image Thresholding.ipynb
14. Image Noise Removal
1. Objectives.mp4
1. Objectives.srt
2. Noise Removal - Small Dots, Image Blurring, Dilation, Erosion and Kernels.mp4
2. Noise Removal - Small Dots, Image Blurring, Dilation, Erosion and Kernels.srt
2.1 Image Noise Removal.ipynb
15. Image Cropping & Rotation Techniques
1. Objectives.mp4
1. Objectives.srt
2. Image Cropping & Rotation.mp4
2. Image Cropping & Rotation.srt
2.1 Image Cropping_Rotation.ipynb
16. Image Annotation
1. Objectives.mp4
1. Objectives.srt
2. Draw Text, Rectangle, Circle and Line on Image.mp4
2. Draw Text, Rectangle, Circle and Line on Image.srt
2.1 Image Annotation.ipynb
17. Image Detection Techniques
1. Objectives.mp4
1. Objectives.srt
2. Image Detection - Blob, Edge and Contour.mp4
2. Image Detection - Blob, Edge and Contour.srt
2.1 Image Detection.ipynb
18. OpenCV for Videos
1. Objectives.mp4
1. Objectives.srt
2. Reading from Recorded Video & Reading and Writing from LIVE camera.mp4
2. Reading from Recorded Video & Reading and Writing from LIVE camera.srt
3. Quiz on OpenCV Concepts.html
opencv_on_videos
Cars.mp4
python_for_videos_using_opencv.ipynb
19. LIVE Projects
1. Project 1 - Python Web Scraping using BeautifulSoup and RegEx.mp4
1. Project 1 - Python Web Scraping using BeautifulSoup and RegEx.srt
2. Project 2 - Sending Email with Python (Flask).mp4
2. Project 2 - Sending Email with Python (Flask).srt
3. Project 3 - Extract text from PDF using Python.mp4
3. Project 3 - Extract text from PDF using Python.srt
4. Project 4 - Template matching using OpenCV.mp4
4. Project 4 - Template matching using OpenCV.srt
5. Project 5 - Track Object by Marking in Live Camera using OpenCV.mp4
5. Project 5 - Track Object by Marking in Live Camera using OpenCV.srt
PythonforPDF
input
example.pdf
letter.pdf
resume.pdf
sample.pdf
test.pdf
watermark.pdf
pdfminerfile.py
pdftoText.py
pymupdf.py
requirements.txt
SendEmails
README.txt
config.py
emailSend.py
requirements.txt
templates
base.html
index.html
thank-you.html
TemplateMatching
TemplateMatching.ipynb
image1.jpg
tiger.jpg
TrackObjects
Track_Object.ipynb
WebScarping
Web Scraping using BeautifulSoup & RegEx.ipynb
2. Introduction to Python
1. Objectives.mp4
1. Objectives.srt
2. What is Python.mp4
2. What is Python.srt
3. Journey of Python.mp4
3. Journey of Python.srt
4. Why Learn Python.mp4
4. Why Learn Python.srt
20. More Learnings
1. More Learnings.mp4
1. More Learnings.srt
3. Python Setup
1. Objectives.mp4
1. Objectives.srt
2. Python Setup on Windows.mp4
2. Python Setup on Windows.srt
3. Python Setup on Ubuntu.mp4
3. Python Setup on Ubuntu.srt
4. Using Google Colab.mp4
4. Using Google Colab.srt
4. Data Types and Operators
1. Objectives.mp4
1. Objectives.srt
2. Variables and Data Types.mp4
2. Variables and Data Types.srt
3. Data Type - Numeric and Boolean with Variables.mp4
3. Data Type - Numeric and Boolean with Variables.srt
3.1 Data Types - Numeric and Boolean with Variables.ipynb
4. Data Type - String.mp4
4. Data Type - String.srt
4.1 Data Types - Strings.ipynb
5. Data Type - Lists.mp4
5. Data Type - Lists.srt
5.1 Data Types - Lists.ipynb
6. Data Type -Tuples.mp4
6. Data Type -Tuples.srt
6.1 Data Types - Tuples.ipynb
7. Data Type - Sets.mp4
7. Data Type - Sets.srt
7.1 Data Types - Sets.ipynb
8. Data Type - Dictionaries.mp4
8. Data Type - Dictionaries.srt
8.1 Data Types - Dictionary.ipynb
9. Operators.mp4
9. Operators.srt
9.1 Operators.ipynb
5. Loops - If-Else, For, While
1. Objectives.mp4
1. Objectives.srt
2. If Elif and Else Statements.mp4
2. If Elif and Else Statements.srt
2.1 If_Else.ipynb
3. For and While Loop.mp4
3. For and While Loop.srt
3.1 For and While Loop.ipynb
6. Functions, Modules & File Handling
1. Objectives.mp4
1. Objectives.srt
2. Functions with args and kwargs Arguments.mp4
2. Functions with args and kwargs Arguments.srt
2.1 Function with _args and _kwargs Arguments.ipynb
3. Modules and Packages.mp4
3. Modules and Packages.srt
3.1 Modules and Packages.ipynb
4. IO with Basic Files.mp4
4. IO with Basic Files.srt
4.1 I_O with Basic Files.ipynb
7. Popular Coding Practices and Exception Handling
1. Objectives.mp4
1. Objectives.srt
2. Popular Coding Practices.mp4
2. Popular Coding Practices.srt
2.1 Popular Coding Practices - name and main.ipynb
3. Exception Handling.mp4
3. Exception Handling.srt
3.1 Exception Handling.ipynb
8. Advanced Functions - Lambda, Map, Filter, Reuse
1. Objectives.mp4
1. Objectives.srt
2. Lambda Expressions, Map, and Filter Functions.mp4
2. Lambda Expressions, Map, and Filter Functions.srt
2.1 Advanced Function - Lambda, Map, Filter, Reduce.ipynb
9. Object Oriented Programming, Decorator and Generator
1. Objectives.mp4
1. Objectives.srt
2. Object Oriented Programming Concept.mp4
2. Object Oriented Programming Concept.srt
3. Object Oriented Programming Implementation.mp4
3. Object Oriented Programming Implementation.srt
3.1 Object Oriented Programming.ipynb
4. Decorator.mp4
4. Decorator.srt
4.1 Decorator.ipynb
5. Generator.mp4
5. Generator.srt
5.1 Generator.ipynb
Bonus Resources.txt
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