Image Processing using OpenCV from Zero to Hero, 8 Projects

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[ FreeCourseWeb.com ] Udemy - Image Processing using OpenCV from Zero to Hero, 8 Projects
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 Introduction
    • 001 Load Display Save Image.en.srt (16.3 KB)
    • 001 Load Display Save Image.mp4 (72.0 MB)
    • 002 What is Pixel _.en.srt (5.1 KB)
    • 002 What is Pixel _.mp4 (21.7 MB)
    • 003 1_pixels.pdf (445.5 KB)
    • 003 Converting Color.en.srt (13.9 KB)
    • 003 Converting Color.mp4 (68.7 MB)
    • 004 Accessing and Manipulate Pixels.en.srt (9.8 KB)
    • 004 Accessing and Manipulate Pixels.mp4 (49.7 MB)
      • 01_Image_Basics
      • 1_display_load_save.ipynb (3.7 KB)
      • 2_convert_color.ipynb (5.5 KB)
      • 3_accesing_and_manipulate_pixels.ipynb (3.3 KB)
        • images
        • bird.jpg (45.6 KB)
        • flemingo.jpg (32.6 KB)
        ipynb_checkpoints
        • 1_display_load_save-checkpoint.ipynb (3.7 KB)
        • 2_convert_color-checkpoint.ipynb (5.5 KB)
        • 3_accesing_and_manipulate_pixels-checkpoint.ipynb (3.3 KB)
        output
        • GRAY.png (81.1 KB)
        02 Drawing
        • 001 Download the Resources.html (0.9 KB)
        • 002 Line.en.srt (8.0 KB)
        • 002 Line.mp4 (30.8 MB)
        • 003 Rectangle.en.srt (6.4 KB)
        • 003 Rectangle.mp4 (25.4 MB)
        • 004 Cricle.en.srt (5.0 KB)
        • 004 Cricle.mp4 (23.9 MB)
        • 005 Abstract Circles.en.srt (5.0 KB)
        • 005 Abstract Circles.mp4 (20.1 MB)
          • 02_Drawings
          • 4_drawing.ipynb (4.5 KB)
            • ipynb_checkpoints
            • 4_drawing-checkpoint.ipynb (4.5 KB)
            output
            • canvas.png (6.1 KB)
            • canvas_1.png (0.8 KB)
            03 Working on Videos
            • 001 Download the Resources.html (0.9 KB)
            • 002 Load and Display Video.en.srt (6.4 KB)
            • 002 Load and Display Video.mp4 (19.0 MB)
            • 003 Frames Per Seconds (FPS) & Controlling FPS.en.srt (8.4 KB)
            • 003 Frames Per Seconds (FPS) & Controlling FPS.mp4 (48.3 MB)
            • 004 Accessing Web Camera.en.srt (2.7 KB)
            • 004 Accessing Web Camera.mp4 (21.4 MB)
            • 005 Stacking Multiple Web Cameras.en.srt (6.8 KB)
            • 005 Stacking Multiple Web Cameras.mp4 (49.5 MB)
              • 03_Working_on_Videos
              • 5_Working_on_Videos.ipynb (4.2 KB)
                • data
                • clip.mp4 (5.7 MB)
                ipynb_checkpoints
                • 5_Working_on_Videos-checkpoint.ipynb (4.2 KB)
                • Working_on_Videos-checkpoint.ipynb (4.2 KB)
                04 Project -1_ Face Detection with OpenCV
                • 001 Download the Resources.html (0.9 KB)
                • 002 Download Cascade Classifier.en.srt (3.0 KB)
                • 002 Download Cascade Classifier.mp4 (16.6 MB)
                • 003 Load Image and Cascade Classifier using OpenCV.en.srt (2.5 KB)
                • 003 Load Image and Cascade Classifier using OpenCV.mp4 (10.5 MB)
                • 004 Apply Viola-Jone Framework (cascade classifier) to Image.en.srt (5.4 KB)
                • 004 Apply Viola-Jone Framework (cascade classifier) to Image.mp4 (23.7 MB)
                • 005 Draw Bounding Box.en.srt (4.3 KB)
                • 005 Draw Bounding Box.mp4 (21.6 MB)
                • 006 Face Detection Function.en.srt (2.5 KB)
                • 006 Face Detection Function.mp4 (13.6 MB)
                  • Project_FaceDetection_with_opencv
                  • Project_Face-Detection.ipynb (3.3 KB)
                  • faces.jpg (201.3 KB)
                    • ipynb_checkpoints
                    • Project_Face-Detection-checkpoint.ipynb (3.3 KB)
                    model
                    • haarcascade_frontalface_default.xml (908.3 KB)
                    05 Project -2_ Real Time Face Detection with OpenCV
                    • 001 Real Time Face Detection with OpenCV.en.srt (4.9 KB)
                    • 001 Real Time Face Detection with OpenCV.mp4 (23.9 MB)
                    06 Project -3_ Face Detection with Deep Neural Network (DNN) OpenCV
                    • 001 Download the Resources.html (0.9 KB)
                    • 002 Face Detection with DNN Module.en.srt (2.0 KB)
                    • 002 Face Detection with DNN Module.mp4 (6.8 MB)
                    • 003 Load SSD ResNet 10 Caffe Model with OpenCV.en.srt (3.9 KB)
                    • 003 Load SSD ResNet 10 Caffe Model with OpenCV.mp4 (13.4 MB)
                    • 004 Calculate Blob from Image.en.srt (2.2 KB)
                    • 004 Calculate Blob from Image.mp4 (8.5 MB)
                    • 005 Get Face Detections Bounding Boxes from the DNN Model.en.srt (4.4 KB)
                    • 005 Get Face Detections Bounding Boxes from the DNN Model.mp4 (13.5 MB)
                    • 006 Bounding Box _ Set the threshold Confidence Score.en.srt (4.9 KB)
                    • 006 Bounding Box _ Set the threshold Confidence Score.mp4 (24.6 MB)
                    • 007 Bounding Box_ De-Normalize Bounding Box Co-ordinates.en.srt (3.2 KB)
                    • 007 Bounding Box_ De-Normalize Bounding Box Co-ordinates.mp4 (15.6 MB)
                    • 008 Bounding Box_ Draw Rectangle and Put Text (confidence score).en.srt (5.2 KB)
                    • 008 Bounding Box_ Draw Rectangle and Put Text (confidence score).mp4 (32.1 MB)
                    • 009 Create Face Detection Function.en.srt (2.1 KB)
                    • 009 Create Face Detection Function.mp4 (14.5 MB)
                      • Project_FaceDetection_with_DNN_opencv
                      • face_detection_dnn.ipynb (4.2 KB)
                      • faces.jpg (201.3 KB)
                        • ipynb_checkpoints
                        • face_detection_dnn-checkpoint.ipynb (4.2 KB)
                        models
                        • deploy.prototxt.txt (27.4 KB)
                        • res10_300x300_ssd_iter_140000_fp16.caffemodel (5.1 MB)
                        • urls.txt (0.2 KB)
                        07 Project-4_ Real Time Face Detection with DNN OpenCV
                        • 001 Real Time Face Detection with DNN and OpenCV.en.srt (4.3 KB)
                        • 001 Real Time Face Detection with DNN and OpenCV.mp4 (25.8 MB)
                        08 Image Transformations
                        • 001 Download the Resources.html (0.9 KB)
                        • 002 Image Translation

Description

Image Processing using OpenCV from Zero to Hero, 8 Projects

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 87 lectures (5h 13m) | Size: 1.6 GB
Complete practical and project based learning on image processing with OpenCV Python
What you'll learn:
Learn OpenCV with Python
8 OpenCV Project
Image Processing with OpenCV
Image Translation
Smoothing Filters
Bitwise Operations and Masking
Convolution Process

Requirements
Anyone who are beginner to Python

Description
Welcome to "Image Processing using OpenCV from Zero to Hero" !!!

Image Processing is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course is completely project-based learning. Where you will do the project after completion of every module. Here I will cover the image processing from basics to advanced techniques including applied machine learning algorithms and models to images.

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Image Processing using OpenCV from Zero to Hero, 8 Projects

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1.9 GB
seeders:7
leechers:4
Image Processing using OpenCV from Zero to Hero, 8 Projects

Torrent hash: 11825A5FF58BA757C5FADF4D81CDBDA20F901F54