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Download Master Computer Vision OpenCV4 in Python with Deep Learning

Master Computer Vision OpenCV4 in Python with Deep Learning

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Master Computer Vision OpenCV4 in Python with Deep Learning

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/.../19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/

1.1 SSDOpenCV.tar.gz.gz

149.5 MB

1. Using an SSD In OpenCV.html

7.7 KB

/

Visit Coursedrive.org.url

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Course Downloaded from coursedrive.org.txt

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/Master Computer Vision OpenCV4 in Python with Deep Learning/

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

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/.../1. Course Introduction and Setup/

1. Introduction.mp4

12.2 MB

1. Introduction.vtt

2.6 KB

2. Introduction to Computer Vision and OpenCV.mp4

7.5 MB

2. Introduction to Computer Vision and OpenCV.vtt

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3. About this course.mp4

10.8 MB

3. About this course.vtt

7.3 KB

4. READ THIS - Guide to installing and setting up your OpenCV4.0.1 Virtual Machine.html

2.7 KB

4.1 Download your OpenCV4 Virtual Machine HERE.html

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5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.mp4

39.4 MB

5. Recomended - Setup your OpenCV4.0.1 Virtual Machine.vtt

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5.1 masteropencv4_v1.5.tar.gz.gz

121.8 MB

6. Installation of OpenCV Python on Windows.mp4

25.1 MB

6. Installation of OpenCV Python on Windows.vtt

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6.1 Windows OpenCV Installation.pdf.pdf

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7. Installation of OpenCV Python on Mac.html

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7.1 Guide to troubleshooting Issues with Mac installs.html

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8. Installation of OpenCV Python on Linux.html

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9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.mp4

4.8 MB

9. Set up course materials (DOWNLOAD LINK BELOW) - Not needed if using the new VM.vtt

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Must Read.txt

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Visit Coursedrive.org.url

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/.../9.1 MasteringComputerVision_V1.03/Master OpenCV/

Beginning Tips.ipynb

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Lecture 2.4 - Reading, writing and displaying images.ipynb

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Lecture 2.5 - Grayscaling.ipynb

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Lecture 2.6 - Color Spaces.ipynb

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Lecture 2.7 - Histograms.ipynb

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Lecture 2.8 - Drawing Images.ipynb

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Lecture 3.2 - Translations.ipynb

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Lecture 3.3 - Rotations.ipynb

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Lecture 3.4 - Scaling, re-sizing and interpolations.ipynb

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Lecture 3.5 - Image Pyramids.ipynb

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Lecture 3.6 - Cropping.ipynb

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Lecture 3.7 - Arithmetic Operations.ipynb

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Lecture 3.8 - Bitwise Operations and Masking.ipynb

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Lecture 3.9 - Convolutions and Blurring.ipynb

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Lecture 3.10 - Sharpening.ipynb

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Lecture 3.11 - Thresholding, Binarization & Adaptive Thresholding.ipynb

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Lecture 3.12 - Dilation, Erosion, Opening and Closing.ipynb

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Lecture 3.13 - Edge Detection & Image Gradients.ipynb

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Lecture 3.14 - Perspective & Affine Transforms.ipynb

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Lecture 3.15 - Mini Project # 1 - Live Sketch Using Webcam.ipynb

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Lecture 4.1 - Understanding Contours.ipynb

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Lecture 4.2 - Sorting Contours.ipynb

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Lecture 4.3 - Approximating Contours and Convex Hull .ipynb

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Lecture 4.4 - Matching Contours Shape.ipynb

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Lecture 4.5 - Mini Project # 2 - Identifying Contours by Shape.ipynb

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Lecture 4.6 - Line Detection using Hough Lines.ipynb

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Lecture 4.7 - Circle Detection using Hough Cirlces.ipynb

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Lecture 4.8 - Blob Detection.ipynb

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Lecture 4.9 - Mini Project # 3 - Counting Circles and Ellipses .ipynb

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Lecture 5.2 - Mini Project # 4 - Finding Waldo.ipynb

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Lecture 5.4 - Finding Corners.ipynb

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Lecture 5.5 - SIFT, SURF, FAST, BRIEF & ORB.ipynb

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Lecture 5.6 - Mini Project # 5 - Object Detection using SIFT & ORB.ipynb

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Lecture 5.7 Histogram of Oriented Gradients.ipynb

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Lecture 6.2 - Face & Eye Detection.ipynb

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Lecture 6.3 - Mini Project # 6 - Car & Pedestrian Detection.ipynb

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Lecture 7.1 - Facial Landmarks.ipynb

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Lecture 7.2 - Merging Faces.ipynb

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Lecture 7.3 - Mini Project # 7 - Live Face Swaps.ipynb

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Lecture 7.4 - Mini Project # 8 – Yawn Detector and Counting.ipynb

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Lecture 8.2 - Mini Project # 9 - Handwritten Digit Recognition.ipynb

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Lecture 8.3 - Mini Project # 10 Face Recognition – Unlock Your Computer With Your Face!.ipynb

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Lecture 9.1 - Filtering by Color.ipynb

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Lecture 9.2 - Background Subtraction.ipynb

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Lecture 9.3 - Meanshift Object Tracking.ipynb

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Lecture 9.4 - Camshift Object Tracking.ipynb

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Lecture 9.5 - Optical Flow Object Tracking.ipynb

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Lecture 9.6 - Mini Project # 11 - Ball Tracking.ipynb

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Lecture 10.2 - Photo Denoising.ipynb

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Lecture 10.3 - Mini Project #12 - Photo Restoration using inpainting.ipynb

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shape_predictor_68_face_landmarks.dat

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/.../9.1 MasteringComputerVision_V1.03/Master OpenCV/faces/user/

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/.../9.1 MasteringComputerVision_V1.03/Master OpenCV/Haarcascades/

haarcascade_car.xml

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haarcascade_eye.xml

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haarcascade_frontalface_default.xml

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haarcascade_fullbody.xml

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/.../9.1 MasteringComputerVision_V1.03/Master OpenCV/images/

4star.jpg

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abraham.jpg

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abraham_mask.png

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beatle.jpg

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blobs.jpg

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bottlecaps.jpg

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box_in_scene.png

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bunchofshapes.jpg

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candy.jpg

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cars.avi

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chess.JPG

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chihuahua.jpg

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coffee.jpg

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contours.jpg

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digits.png

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domino.png

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download.png

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eigenface_reconstruction_opencv.png

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elephant.jpg

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ex2.jpg

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faceswap.JPG

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gradient.jpg

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hand.jpg

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Hillary.jpg

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house.jpg

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IMG_7539.jpg

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IMG_8295.JPG

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input.jpg

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input33.JPG

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kim.jpg

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lourve_noise.jpg

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marsface.jpg

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mask.jpg

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numbers.jpg

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obama.jpg

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obamafacerecog.jpg

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opencv.png

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opencv_inv.png

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Origin_of_Species.jpg

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output.jpg

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photorestore.JPG

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rot.jpg

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scan.jpg

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shapes.jpg

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shapes_donut.jpg

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shapestomatch.jpg

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soduku.jpg

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someshapes.jpg

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Sunflowers.jpg

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tobago.jpg

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truck.jpg

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Trump.jpg

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waldo.jpg

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WaldoBeach.jpg

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walking.avi

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/.../9.1 MasteringComputerVision_V1.03/Master OpenCV/Lectures/

Lecture Notes - Master OpenCV in Python.pdf

35.7 MB

/.../2. Basics of Computer Vision and OpenCV/

1. What are Images.mp4

4.6 MB

1. What are Images.vtt

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2. How are Images Formed.mp4

6.5 MB

2. How are Images Formed.vtt

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3. Storing Images on Computers.mp4

11.4 MB

3. Storing Images on Computers.vtt

6.1 KB

4. Getting Started with OpenCV - A Brief OpenCV Intro.mp4

24.8 MB

4. Getting Started with OpenCV - A Brief OpenCV Intro.vtt

10.8 KB

5. Grayscaling - Converting Color Images To Shades of Gray.mp4

4.7 MB

5. Grayscaling - Converting Color Images To Shades of Gray.vtt

2.6 KB

6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.mp4

32.1 MB

6. Understanding Color Spaces - The Many Ways Color Images Are Stored Digitally.vtt

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7. Histogram representation of Images - Visualizing the Components of Images.mp4

12.3 MB

7. Histogram representation of Images - Visualizing the Components of Images.vtt

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8. Creating Images Drawing on Images - Make Squares, Circles, Polygons Add Text.mp4

10.3 MB

8. Creating Images Drawing on Images - Make Squares, Circles, Polygons Add Text.vtt

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/.../3. Image Manipulations Processing/

1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.mp4

3.8 MB

1. Transformations, Affine And Non-Affine - The Many Ways We Can Change Images.vtt

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2. Image Translations - Moving Images Up, Down. Left And Right.mp4

5.2 MB

2. Image Translations - Moving Images Up, Down. Left And Right.vtt

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3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.mp4

6.4 MB

3. Rotations - How To Spin Your Image Around And Do Horizontal Flipping.vtt

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4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.mp4

9.1 MB

4. Scaling, Re-sizing and Interpolations - Understand How Re-Sizing Affects Quality.vtt

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5. Image Pyramids - Another Way of Re-Sizing.mp4

3.7 MB

5. Image Pyramids - Another Way of Re-Sizing.vtt

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6. Cropping - Cut Out The Image The Regions You Want or Dont Want.mp4

5.8 MB

6. Cropping - Cut Out The Image The Regions You Want or Dont Want.vtt

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7. Arithmetic Operations - Brightening and Darkening Images.mp4

8.4 MB

7. Arithmetic Operations - Brightening and Darkening Images.vtt

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8. Bitwise Operations - How Image Masking Works.mp4

8.1 MB

8. Bitwise Operations - How Image Masking Works.vtt

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9. Blurring - The Many Ways We Can Blur Images Why Its Important.mp4

17.0 MB

9. Blurring - The Many Ways We Can Blur Images Why Its Important.vtt

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10. Sharpening - Reverse Your Images Blurs.mp4

4.6 MB

10. Sharpening - Reverse Your Images Blurs.vtt

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11. Thresholding (Binarization) - Making Certain Images Areas Black or White.mp4

18.5 MB

11. Thresholding (Binarization) - Making Certain Images Areas Black or White.vtt

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12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.mp4

10.6 MB

12. Dilation, Erosion, OpeningClosing - Importance of ThickeningThinning Lines.vtt

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13. Edge Detection using Image Gradients Canny Edge Detection.mp4

16.0 MB

13. Edge Detection using Image Gradients Canny Edge Detection.vtt

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14. Perspective Affine Transforms - Take An Off Angle Shot Make It Look Top Down.mp4

8.5 MB

14. Perspective Affine Transforms - Take An Off Angle Shot Make It Look Top Down.vtt

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15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.mp4

15.0 MB

15. Mini Project 1 - Live Sketch App - Turn your Webcam Feed Into A Pencil Drawing.vtt

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ReadMe.txt

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Visit Coursedrive.org.url

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/.../4. Image Segmentation Contours/

1. Segmentation and Contours - Extract Defined Shapes In Your Image.mp4

23.5 MB

1. Segmentation and Contours - Extract Defined Shapes In Your Image.vtt

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2. Sorting Contours - Sort Those Shapes By Size.mp4

31.2 MB

2. Sorting Contours - Sort Those Shapes By Size.vtt

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3. Approximating Contours Finding Their Convex Hull - Clean Up Messy Contours.mp4

14.1 MB

3. Approximating Contours Finding Their Convex Hull - Clean Up Messy Contours.vtt

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4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.mp4

16.0 MB

4. Matching Contour Shapes - Match Shapes In Images Even When Distorted.vtt

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5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle Stars).mp4

13.8 MB

5. Mini Project 2 - Identify Shapes (Square, Rectangle, Circle, Triangle Stars).vtt

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6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.mp4

18.5 MB

6. Line Detection - Detect Straight Lines E.g. The Lines On A Sudoku Game.vtt

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7. Circle Detection.html

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8. Blob Detection - Detect The Center of Flowers.mp4

7.9 MB

8. Blob Detection - Detect The Center of Flowers.vtt

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9. Mini Project 3 - Counting Circles and Ellipses.mp4

14.9 MB

9. Mini Project 3 - Counting Circles and Ellipses.vtt

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/.../5. Object Detection in OpenCV/

1. Object Detection Overview.mp4

7.7 MB

1. Object Detection Overview.vtt

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2. Mini Project 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).mp4

7.6 MB

2. Mini Project 4 - Finding Waldo (Quickly Find A Specific Pattern In An Image).vtt

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3. Feature Description Theory - How We Digitally Represent Objects.mp4

9.3 MB

3. Feature Description Theory - How We Digitally Represent Objects.vtt

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4. Finding Corners - Why Corners In Images Are Important to Object Detection.mp4

15.5 MB

4. Finding Corners - Why Corners In Images Are Important to Object Detection.vtt

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5. SIFT, SURF, FAST, BRIEF ORB - Learn The Different Ways To Get Image Features.mp4

26.7 MB

5. SIFT, SURF, FAST, BRIEF ORB - Learn The Different Ways To Get Image Features.vtt

13.7 KB

6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.mp4

45.6 MB

6. Mini Project 5 - Object Detection - Detect A Specific Object Using Your Webcam.vtt

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7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.mp4

20.9 MB

7. Histogram of Oriented Gradients - Another Novel Way Of Representing Images.vtt

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/.../6. Object Detection - Build a Face, People and CarVehicle Detectors/

1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why Theyre Amazing.mp4

10.6 MB

1. HAAR Cascade Classifiers - Learn How Classifiers Work And Why Theyre Amazing.vtt

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2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.mp4

26.2 MB

2. Face and Eye Detection - Detect Human Faces and Eyes In Any Image.vtt

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3. Mini Project 6 - Car and Pedestrian Detection in Videos.mp4

16.0 MB

3. Mini Project 6 - Car and Pedestrian Detection in Videos.vtt

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ReadMe.txt

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Visit Coursedrive.org.url

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/.../7. Augmented Reality (AR) - Facial Landmark Identification (Face Swaps)/

1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.mp4

29.7 MB

1. Face Analysis and Filtering - Identify Face Outline, Lips, Eyes Even Eyebrows.vtt

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2. Merging Faces (Face Swaps) - Combine Two Faces For Fun Sometimes Scary Results.mp4

30.1 MB

2. Merging Faces (Face Swaps) - Combine Two Faces For Fun Sometimes Scary Results.vtt

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2.1 Student Contribution of PY3 compatible version (Thanks to Vo).html

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3. Mini Project 7 - Live Face Swapper (like MSQRD Snapchat filters).mp4

15.2 MB

3. Mini Project 7 - Live Face Swapper (like MSQRD Snapchat filters).vtt

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4. Mini Project 8 - Yawn Detector and Counter.mp4

31.4 MB

4. Mini Project 8 - Yawn Detector and Counter.vtt

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/.../8. Simple Machine Learning using OpenCV/

1. Machine Learning Overview - What Is It Why Its Important to Computer Vision.mp4

17.0 MB

1. Machine Learning Overview - What Is It Why Its Important to Computer Vision.vtt

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2. Mini Project 9 - Handwritten Digit Classification.mp4

63.5 MB

2. Mini Project 9 - Handwritten Digit Classification.vtt

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3. Mini Project 10 - Facial Recognition - Make Your Computer Recognize You.mp4

33.5 MB

3. Mini Project 10 - Facial Recognition - Make Your Computer Recognize You.vtt

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/.../9. Object Tracking Motion Analysis/

1. Filtering by Color.mp4

19.6 MB

1. Filtering by Color.vtt

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2. Background Subtraction and Foreground Subtraction.mp4

31.0 MB

2. Background Subtraction and Foreground Subtraction.vtt

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3. Using Meanshift for Object Tracking.mp4

15.2 MB

3. Using Meanshift for Object Tracking.vtt

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4. Using CAMshift for Object Tracking.mp4

10.4 MB

4. Using CAMshift for Object Tracking.vtt

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5. Optical Flow - Track Moving Objects In Videos.mp4

20.8 MB

5. Optical Flow - Track Moving Objects In Videos.vtt

9.5 KB

6. Mini Project 11 - Ball Tracking.mp4

14.9 MB

6. Mini Project 11 - Ball Tracking.vtt

6.5 KB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/.../10. Computational Photography Make a License Plate Reader/

1. Mini Project 12 - Photo-Restoration.mp4

15.4 MB

1. Mini Project 12 - Photo-Restoration.vtt

8.4 KB

2. Mini Project 13 - Automatic Number-Plate Recognition (ALPR).html

0.9 KB

/.../2.1 Lecture11.1 Automatic Number-Plate Recognition/

Lecture11.1 Automatic Number-Plate Recognition.ipynb

7.7 KB

/.../2.1 Lecture11.1 Automatic Number-Plate Recognition/images/

car3.jpg

21.6 KB

/11. Conclusion/

1. Course Summary and how to become an Expert.mp4

4.4 MB

1. Course Summary and how to become an Expert.vtt

4.1 KB

1.1 ResearchPapersandURLS.pdf.pdf

99.0 KB

2. Latest Advances, 12 Startup Ideas Implementing Computer VIsion in Mobile Apps.mp4

16.4 MB

2. Latest Advances, 12 Startup Ideas Implementing Computer VIsion in Mobile Apps.vtt

9.6 KB

/.../12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/

1. Setup your Deep Learning Virtual Machine.mp4

81.2 MB

1. Setup your Deep Learning Virtual Machine.vtt

12.7 KB

1.1 DeepLearningCV_MOCV.tar.gz.gz

142.0 MB

1.2 Download VirtualBox.html

0.1 KB

1.3 Deep Learning Computer Vision OCV.pdf.pdf

27.9 MB

1.4 Download Your Deep Learning Virtual Machine HERE.html

0.1 KB

2. Intro to Handwritten Digit Classification (MNIST).mp4

70.6 MB

2. Intro to Handwritten Digit Classification (MNIST).vtt

7.2 KB

3. Intro to Multiple Image Classification (CIFAR10).mp4

28.7 MB

3. Intro to Multiple Image Classification (CIFAR10).vtt

3.9 KB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/.../13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/

1. Neural Networks Chapter Overview.mp4

8.2 MB

1. Neural Networks Chapter Overview.vtt

1.9 KB

2. Machine Learning Overview.mp4

54.8 MB

2. Machine Learning Overview.vtt

54.8 MB

3. Neural Networks Explained.mp4

24.5 MB

3. Neural Networks Explained.vtt

4.8 KB

4. Forward Propagation.mp4

66.4 MB

4. Forward Propagation.vtt

10.1 KB

5. Activation Functions.mp4

62.6 MB

5. Activation Functions.vtt

10.4 KB

6. Training Part 1 Loss Functions.mp4

61.3 MB

6. Training Part 1 Loss Functions.vtt

10.7 KB

7. Training Part 2 Backpropagation and Gradient Descent.mp4

76.2 MB

7. Training Part 2 Backpropagation and Gradient Descent.vtt

12.0 KB

8. Backpropagation Learning Rates A Worked Example.mp4

104.7 MB

8. Backpropagation Learning Rates A Worked Example.vtt

15.9 KB

9. Regularization, Overfitting, Generalization and Test Datasets.mp4

124.1 MB

9. Regularization, Overfitting, Generalization and Test Datasets.vtt

18.8 KB

10. Epochs, Iterations and Batch Sizes.mp4

27.4 MB

10. Epochs, Iterations and Batch Sizes.vtt

4.4 KB

11. Measuring Performance and the Confusion Matrix.mp4

54.6 MB

11. Measuring Performance and the Confusion Matrix.vtt

8.8 KB

12. Review and Best Practices.mp4

28.5 MB

12. Review and Best Practices.vtt

5.3 KB

/.../14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/

1. Convolutional Neural Networks Chapter Overview.mp4

5.4 MB

1. Convolutional Neural Networks Chapter Overview.vtt

1.3 KB

2. Introduction to Convolutional Neural Networks (CNNs).mp4

38.5 MB

2. Introduction to Convolutional Neural Networks (CNNs).vtt

6.6 KB

3. Convolutions Image Features.mp4

107.4 MB

3. Convolutions Image Features.vtt

15.7 KB

4. Depth, Stride and Padding.mp4

48.8 MB

4. Depth, Stride and Padding.vtt

8.4 KB

5. ReLU.mp4

11.4 MB

5. ReLU.vtt

2.3 KB

6. Pooling.mp4

30.2 MB

6. Pooling.vtt

5.8 KB

7. The Fully Connected Layer.mp4

14.5 MB

7. The Fully Connected Layer.vtt

2.8 KB

8. Training CNNs.mp4

28.4 MB

8. Training CNNs.vtt

3.8 KB

9. Designing Your Own CNN.mp4

25.5 MB

9. Designing Your Own CNN.vtt

4.9 KB

/.../15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/

1. Introduction to Keras Tensorflow.mp4

5.9 MB

1. Introduction to Keras Tensorflow.vtt

1.2 KB

2. Building a CNN in Keras.mp4

77.3 MB

2. Building a CNN in Keras.vtt

16.2 KB

3. Building a Handwriting Recognition CNN.mp4

11.7 MB

3. Building a Handwriting Recognition CNN.vtt

2.3 KB

4. Loading Our Data.mp4

55.5 MB

4. Loading Our Data.vtt

7.7 KB

5. Getting our data in Shape.mp4

35.5 MB

5. Getting our data in Shape.vtt

5.3 KB

6. Hot One Encoding.mp4

19.1 MB

6. Hot One Encoding.vtt

3.6 KB

7. Building Compiling Our Model.mp4

38.0 MB

7. Building Compiling Our Model.vtt

4.9 KB

8. Training Our Classifier.mp4

42.8 MB

8. Training Our Classifier.vtt

6.6 KB

9. Plotting Loss and Accuracy Charts.mp4

26.8 MB

9. Plotting Loss and Accuracy Charts.vtt

4.2 KB

10. Saving and Loading Your Model.mp4

31.0 MB

10. Saving and Loading Your Model.vtt

4.0 KB

11. Displaying Your Model Visually.mp4

26.7 MB

11. Displaying Your Model Visually.vtt

3.9 KB

12. Building a Simple Image Classifier using CIFAR10.mp4

78.0 MB

12. Building a Simple Image Classifier using CIFAR10.vtt

78.0 MB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

/.../16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/

1. Data Augmentation Chapter Overview.mp4

4.1 MB

1. Data Augmentation Chapter Overview.vtt

1.4 KB

2. Splitting Data into Test and Training Datasets.mp4

108.8 MB

2. Splitting Data into Test and Training Datasets.vtt

12.7 KB

3. Train a Cats vs. Dogs Classifier.mp4

47.0 MB

3. Train a Cats vs. Dogs Classifier.vtt

5.6 KB

4. Boosting Accuracy with Data Augmentation.mp4

45.6 MB

4. Boosting Accuracy with Data Augmentation.vtt

6.9 KB

5. Types of Data Augmentation.mp4

55.0 MB

5. Types of Data Augmentation.vtt

7.5 KB

/.../17. BONUS - Build a Credit Card Number Reader/

1. Step 1 - Creating a Credit Card Number Dataset.html

12.6 KB

1.2 26.Credit-Card.tar.gz.gz

14.0 MB

2. Step 2 - Training Our Model.html

4.8 KB

3. Step 3 - Extracting A Credit Card from the Background.html

8.2 KB

4. Step 4 - Use our Model to Identify the Digits Display it onto our Credit Card.html

4.2 KB

/.../Credit-Card Number Identification/

Credit Card Reader.ipynb

17.3 KB

credit_card_color.jpg

47.5 KB

credit_card_extracted_digits.jpg

10.2 KB

creditcard_digits1.jpg

17.5 KB

creditcard_digits2.jpg

11.3 KB

test_card.jpg

45.9 KB

/.../18. BONUS - Neural Style Transfer with OpenCV/

1. Perform Neural Style Transfer Using OpenCV4.html

4.9 KB

1.1 NeuralStyleTransfer.tar.gz.gz

126.7 MB

/.../20. BONUS - Colorize Black and White Images/

1. Colorizing Black and White Images Using Caffe.html

6.6 KB

1.1 colorize.tar.gz.gz

120.1 MB

ReadMe.txt

0.5 KB

Visit Coursedrive.org.url

0.1 KB

 

Total files 471


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