| 001 Bonus Lecture.html | 1.9 KB | ||
| 001 Controlling Brightness in Videos.en.srt | 7.5 KB | ||
| 001 Controlling Brightness in Videos.mp4 | 38.8 MB | ||
| 001 Download the Resources.html | 921.6 B | ||
| 001 Load Display Save Image.en.srt | 16.3 KB | ||
| 001 Load Display Save Image.mp4 | 72 MB | ||
| 001 Project Flow.en.srt | 4.4 KB | ||
| 001 Project Flow.mp4 | 18.3 MB | ||
| 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 | ||
| 001 Real Time Face Detection with OpenCV.en.srt | 4.9 KB | ||
| 001 Real Time Face Detection with OpenCV.mp4 | 23.9 MB | ||
| 001 What will you Develop _.en.srt | 2.2 KB | ||
| 001 What will you Develop _.mp4 | 11 MB | ||
| 001.PNG | 487.4 KB | ||
| 002 Addition in Image.en.srt | 9.4 KB | ||
| 002 Addition in Image.mp4 | 27.9 MB | ||
| 002 Average Blur & Convolution Process.en.srt | 9.7 KB | ||
| 002 Average Blur & Convolution Process.mp4 | 26.2 MB | ||
| 002 Download Cascade Classifier.en.srt | 3 KB | ||
| 002 Download Cascade Classifier.mp4 | 16.6 MB | ||
| 002 Face Detection with DNN Module.en.srt | 2 KB | ||
| 002 Face Detection with DNN Module.mp4 | 6.8 MB | ||
| 002 Image Translation or Shifting.en.srt | 11.7 KB | ||
| 002 Image Translation or Shifting.mp4 | 57.1 MB | ||
| 002 Line.en.srt | 8 KB | ||
| 002 Line.mp4 | 30.8 MB | ||
| 002 Load Image and Flow.en.srt | 5 KB | ||
| 002 Load Image and Flow.mp4 | 16.4 MB | ||
| 002 Load Image.en.srt | 2.5 KB | ||
| 002 Load Image.mp4 | 8.5 MB | ||
| 002 Load and Display Video.en.srt | 6.4 KB | ||
| 002 Load and Display Video.mp4 | 19 MB | ||
| 002 Masking Image.en.srt | 1.9 KB | ||
| 002 Masking Image.mp4 | 9.2 MB | ||
| 002 Truth Table for AND, OR, NOT, XOR.en.srt | 6.9 KB | ||
| 002 Truth Table for AND, OR, NOT, XOR.mp4 | 21.6 MB | ||
| 002 What is Pixel _.en.srt | 5.1 KB | ||
| 002 What is Pixel _.mp4 | 21.7 MB | ||
| 002 What we will develop _.en.srt | 1.9 KB | ||
| 002 What we will develop _.mp4 | 14.4 MB | ||
| 002.PNG | 537.3 KB | ||
| 003 1_pixels.pdf | 445.5 KB | ||
| 003 Bitwise AND.en.srt | 8.2 KB | ||
| 003 Bitwise AND.mp4 | 25.6 MB | ||
| 003 Controlling Brightness in Image.en.srt | 14.6 KB | ||
| 003 Controlling Brightness in Image.mp4 | 57.7 MB | ||
| 003 Convert image into grayscale.en.srt | 2.2 KB | ||
| 003 Convert image into grayscale.mp4 | 11.8 MB | ||
| 003 Converting Color.en.srt | 13.9 KB | ||
| 003 Converting Color.mp4 | 68.7 MB | ||
| 003 Frames Per Seconds (FPS) & Controlling FPS.en.srt | 8.4 KB | ||
| 003 Frames Per Seconds (FPS) & Controlling FPS.mp4 | 48.3 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 | ||
| 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 | ||
| 003 OpenCV_ Average Blur.en.srt | 7.3 KB | ||
| 003 OpenCV_ Average Blur.mp4 | 42.9 MB | ||
| 003 Preparing Mask Image.en.srt | 8.4 KB | ||
| 003 Preparing Mask Image.mp4 | 32.2 MB | ||
| 003 Rectangle.en.srt | 6.4 KB | ||
| 003 Rectangle.mp4 | 25.4 MB | ||
| 003 Rotating Image.en.srt | 12.4 KB | ||
| 003 Rotating Image.mp4 | 66.1 MB | ||
| 003 Step-1, Face Detection_ Get Detections.en.srt | 4.1 KB | ||
| 003 Step-1, Face Detection_ Get Detections.mp4 | 15.9 MB | ||
| 003 Subtraction in Image.en.srt | 4.3 KB | ||
| 003 Subtraction in Image.mp4 | 14 MB | ||
| 003.PNG | 185.1 KB | ||
| 004 Accessing Web Camera.en.srt | 2.7 KB | ||
| 004 Accessing Web Camera.mp4 | 21.4 MB | ||
| 004 Accessing and Manipulate Pixels.en.srt | 9.8 KB | ||
| 004 Accessing and Manipulate Pixels.mp4 | 49.7 MB | ||
| 004 Apply Gaussian Blur to Gray Scale Image.en.srt | 3.2 KB | ||
| 004 Apply Gaussian Blur to Gray Scale Image.mp4 | 13.4 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 | ||
| 004 Bitwise OR.en.srt | 1.7 KB | ||
| 004 Bitwise OR.mp4 | 5.5 MB | ||
| 004 Blending Image Idea.en.srt | 1.3 KB | ||
| 004 Blending Image Idea.mp4 | 3.7 MB | ||
| 004 Calculate Blob from Image.en.srt | 2.2 KB | ||
| 004 Calculate Blob from Image.mp4 | 8.5 MB | ||
| 004 Cricle.en.srt | 5 KB | ||
| 004 Cricle.mp4 | 23.9 MB | ||
| 004 Gaussian Blur.en.srt | 6.8 KB | ||
| 004 Gaussian Blur.mp4 | 20.1 MB | ||
| 004 Masking Image using _mask_.en.srt | 2.5 KB | ||
| 004 Masking Image using _mask_.mp4 | 13.6 MB | ||
| 004 Resizing Image.en.srt | 7.5 KB | ||
| 004 Resizing Image.mp4 | 35.7 MB | ||
| 004 Step-1, Face Detection_ Select Faces using Confidence Score.en.srt | 2.1 KB | ||
| 004 Step-1, Face Detection_ Select Faces using Confidence Score.mp4 | 9.1 MB | ||
| 005 Abstract Circles.en.srt | 5 KB | ||
| 005 Abstract Circles.mp4 | 20.1 MB | ||
| 005 Bitwise NOT.en.srt | 1.4 KB | ||
| 005 Bitwise NOT.mp4 | 6 MB | ||
| 005 Blending Image - OpenCV Python.en.srt | 7.2 KB | ||
| 005 Blending Image - OpenCV Python.mp4 | 38.2 MB | ||
| 005 Divide Grayscale image and Gaussian Blur Image.en.srt | 2.9 KB | ||
| 005 Divide Grayscale image and Gaussian Blur Image.mp4 | 17.7 MB | ||
| 005 Draw Bounding Box.en.srt | 4.3 KB | ||
| 005 Draw Bounding Box.mp4 | 21.6 MB | ||
| 005 Example-2_ Mask image with different shape.en.srt | 2.9 KB | ||
| 005 Example-2_ Mask image with different shape.mp4 | 16.5 MB | ||
| 005 Flipping Image.en.srt | 3.2 KB | ||
| 005 Flipping Image.mp4 | 19.7 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 | ||
| 005 OpenCV_ Gaussian Blur.en.srt | 5.5 KB | ||
| 005 OpenCV_ Gaussian Blur.mp4 | 24.1 MB | ||
| 005 Stacking Multiple Web Cameras.en.srt | 6.8 KB | ||
| 005 Stacking Multiple Web Cameras.mp4 | 49.5 MB | ||
| 005 Step-1, Face Detection_ Get the Bounding Box.en.srt | 2.9 KB | ||
| 005 Step-1, Face Detection_ Get the Bounding Box.mp4 | 11.4 MB | ||
| 006 Adjust Gamma to Division Image.en.srt | 5.8 KB | ||
| 006 Adjust Gamma to Division Image.mp4 | 28.1 MB | ||
| 006 Bitwise XOR.en.srt | 2.5 KB | ||
| 006 Bitwise XOR.mp4 | 8.8 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 | ||
| 006 Cropping Image.en.srt | 3.6 KB | ||
| 006 Cropping Image.mp4 | 10.8 MB | ||
| 006 Example-3_ Masking _circle_ shape.en.srt | 3.7 KB | ||
| 006 Example-3_ Masking _circle_ shape.mp4 | 20.9 MB | ||
| 006 Face Detection Function.en.srt | 2.5 KB | ||
| 006 Face Detection Function.mp4 | 13.6 MB | ||
| 006 Median Blur.en.srt | 6.7 KB | ||
| 006 Median Blur.mp4 | 30 MB | ||
| 006 Step-1, Face Detection_ Draw Rectangle Box.en.srt | 1.6 KB | ||
| 006 Step-1, Face Detection_ Draw Rectangle Box.mp4 | 10.8 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 | ||
| 007 OpenCV_ Median Blur for Salt Pepper Noise.en.srt | 7.7 KB | ||
| 007 OpenCV_ Median Blur for Salt Pepper Noise.mp4 | 51.9 MB | ||
| 007 Pencil Sketch Function.en.srt | 7.1 KB | ||
| 007 Pencil Sketch Function.mp4 | 39.2 MB | ||
| 007 Step-2, Create Mask Image.en.srt | 3.8 KB | ||
| 007 Step-2, Create Mask Image.mp4 | 19.4 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 | ||
| 008 GUI Control Panel.en.srt | 8.6 KB | ||
| 008 GUI Control Panel.mp4 | 34.3 MB | ||
| 008 Step-3, Calculate Background and Foreground Image using Bitwise AND.en.srt | 2.4 KB | ||
| 008 Step-3, Calculate Background and Foreground Image using Bitwise AND.mp4 | 14.7 MB | ||
| 009 Calibrate k-size to odd numbers.en.srt | 5.5 KB | ||
| 009 Calibrate k-size to odd numbers.mp4 | 24.2 MB | ||
| 009 Create Face Detection Function.en.srt | 2.1 KB | ||
| 009 Create Face Detection Function.mp4 | 14.5 MB | ||
| 009 Step-4, Blur the Faces.en.srt | 2.2 KB | ||
| 009 Step-4, Blur the Faces.mp4 | 10.4 MB | ||
| 010 Calibrate Gamma to 0 to 1 Scale.en.srt | 2.3 KB | ||
| 010 Calibrate Gamma to 0 to 1 Scale.mp4 | 10.1 MB | ||
| 010 Step-5, Addition Operation.en.srt | 3.8 KB | ||
| 010 Step-5, Addition Operation.mp4 | 29.5 MB | ||
| 011 Pencil Sketch in Real Time.en.srt | 5.9 KB | ||
| 011 Pencil Sketch in Real Time.mp4 | 54.3 MB | ||
| 032 2_image_transformation.pdf | 721.4 KB | ||
| 038 3_arthematic_operations.pdf | 156.7 KB | ||
| 047 4_Bitwiseoperations.pdf | 406.7 KB | ||
| 053 5_Masking.pdf | 364.3 KB | ||
| 060 6_SmootingFilters - Average Blur.pdf | 657.5 KB | ||
| 062 8_SmootingFilters - Gaussian.pdf | 584.9 KB | ||
| 064 6_SmootingFilters - Median.pdf | 1.1 MB | ||
| 1_display_load_save-checkpoint.ipynb | 3.7 KB | ||
| 1_display_load_save.ipynb | 3.7 KB | ||
| 2_convert_color-checkpoint.ipynb | 5.5 KB | ||
| 2_convert_color.ipynb | 5.5 KB | ||
| 3_accesing_and_manipulate_pixels-checkpoint.ipynb | 3.3 KB | ||
| 3_accesing_and_manipulate_pixels.ipynb | 3.3 KB | ||
| 4_drawing-checkpoint.ipynb | 4.5 KB | ||
| 4_drawing.ipynb | 4.5 KB | ||
| 5_Working_on_Videos-checkpoint.ipynb | 4.2 KB | ||
| 5_Working_on_Videos.ipynb | 4.2 KB | ||
| 6_image_transformation-checkpoint.ipynb | 7.2 KB | ||
| 6_image_transformation.ipynb | 7.2 KB | ||
| 7_arithmetic_operations-checkpoint.ipynb | 3.9 KB | ||
| 7_arithmetic_operations.ipynb | 3.9 KB | ||
| 8_bitwise_operations-checkpoint.ipynb | 6.4 KB | ||
| 8_bitwise_operations.ipynb | 6.4 KB | ||
| 9_masking-checkpoint.ipynb | 3.6 KB | ||
| 9_masking.ipynb | 3.6 KB | ||
| 9_smoothing_filter-checkpoint.ipynb | 4.1 KB | ||
| 9_smoothing_filter.ipynb | 4.1 KB | ||
| Automatic_Face_blur.ipynb | 5.2 KB | ||
| Automatic_Facial_Blur.pdf | 421.1 KB | ||
| Avengers-Endgame.png | 2.9 MB | ||
| Bonus Resources.txt | 307.2 B | ||
| GRAY.png | 81.1 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Project_Brightness-checkpoint.ipynb | 3.9 KB | ||
| Project_Brightness.ipynb | 3.9 KB | ||
| Project_Face-Detection-checkpoint.ipynb | 3.3 KB | ||
| Project_Face-Detection.ipynb | 3.3 KB | ||
| Working_on_Videos-checkpoint.ipynb | 4.2 KB | ||
| beach.jpg?042148 | 1.1 MB | ||
| bird.jpg?042148 | 45.6 KB | ||
| blend_1.jpg?042148 | 146.9 KB | ||
| blend_2.jpg?042148 | 587.7 KB | ||
| blending.jpg?042148 | 211.8 KB | ||
| canvas.png | 6.1 KB | ||
| canvas_1.png | 819.2 B | ||
| car.jpg?042148 | 66.8 KB | ||
| clip.mp4 | 5.7 MB | ||
| deploy.prototxt.txt | 27.4 KB | ||
| ec4d1f21f96.jpg?042148 | 391.5 KB | ||
| example.png | 221.7 KB | ||
| face.jpg?042148 | 60.5 KB | ||
| face_detection_dnn-checkpoint.ipynb | 4.2 KB | ||
| face_detection_dnn.ipynb | 4.2 KB | ||
| faces.jpg?042148 | 201.3 KB | ||
| flemingo.jpg?042148 | 32.6 KB | ||
| flip_-1.png | 221.7 KB | ||
| flip_0.png | 221.8 KB | ||
| flip_1.png | 221.6 KB | ||
| friends.jpg?042148 | 548 KB | ||
| haarcascade_frontalface_default.xml | 908.3 KB | ||
| happy_parents.jpg?042148 | 140.8 KB | ||
| ironman.jpg?042148 | 26.2 KB | ||
| pencil_sketch-checkpoint.ipynb | 4.1 KB | ||
| pencil_sketch.ipynb | 4.1 KB | ||
| pencil_sketch_flow.PNG | 301.6 KB | ||
| res10_300x300_ssd_iter_140000_fp16.caffemodel | 5.1 MB | ||
| rotate_-45.png | 288.3 KB | ||
| rotate_-90.png | 359.5 KB | ||
| rotate_180.png | 222.1 KB | ||
| rotate_45.png | 296.7 KB | ||
| rotate_90.png | 357.7 KB | ||
| sp_noise.jpg?042148 | 678.2 KB | ||
| urls.txt | 204.8 B | ||
| ▲ 250 total files | |||
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.
,
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 356.1 MB | freecoursewb | 1 year | 8 | 5 | |
| 1.5 GB | freecoursewb | 2 years | 0 | 0 | |
| 727 MB | freecoursewb | 3 years | 1 | 0 | |
| 1.4 GB | freecoursewb | 3 years | 0 | 0 | |
| 1 GB | freecoursewb | 3 years | 0 | 0 |
All Comments