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| 001 Getting Started with Google Colab.mp4 |
38.85Мб |
| 002 Image Processing vs Computer Vision.mp4 |
73.15Мб |
| 003 Introduction and working of OpenCV.mp4 |
54.33Мб |
| 004 Image read and display using OpenCV.mp4 |
53.79Мб |
| 005 6.jpg |
122.79Кб |
| 005 haarcascade-frontalface-default.xml |
898.31Кб |
| 005 image-operations-using-opencv.py |
1.73Кб |
| 005 Image Properties.mp4 |
86.06Мб |
| 006 Image resize and write using OpenCV.mp4 |
16.50Мб |
| 007 ROI and Color Changing using OpenCV.mp4 |
26.82Мб |
| 008 Horizontal & Vertical flipping of images.mp4 |
28.65Мб |
| 009 Drawing function in OpenCV.mp4 |
62.91Мб |
| 010 Draw Rectangle using OpenCv.mp4 |
29.31Мб |
| 011 Working with Live Camera.mp4 |
64.86Мб |
| 012 Face Detection in Image.mp4 |
103.97Мб |
| 012 haarcascade-frontalface-default.xml |
898.31Кб |
| 013 Face Detection in Live Camera.mp4 |
31.18Мб |
| 014 Display Only Face from image and Save.mp4 |
27.95Мб |
| 015 Why CNN.mp4 |
49.47Мб |
| 016 What is CNN.mp4 |
21.30Мб |
| 017 Convolution-Basics.xlsx |
12.82Кб |
| 017 Convolution Layer.mp4 |
64.47Мб |
| 018 Relu Layer.mp4 |
14.10Мб |
| 019 Pooling Layer.mp4 |
24.80Мб |
| 020 Flattening Layer.mp4 |
12.50Мб |
| 021 Fully Connected Layer.mp4 |
65.91Мб |
| 022 What is Keras.mp4 |
48.67Мб |
| 023 mnist-digits-using-keras-using-cnn.py |
3.59Кб |
| 023 Project introduction and Data Preprocessing.mp4 |
98.96Мб |
| 024 Model creation.mp4 |
30.97Мб |
| 025 Build Model and Prediction on images.mp4 |
51.09Мб |
| 026 Introduction-Objects Detection with YOLO v3 and OpenCV.mp4 |
50.56Мб |
| 027 Implementation-Objects Detection on Image with YOLO v3 and OpenCV-part1.mp4 |
60.27Мб |
| 027 yolo.html |
313.41Кб |
| 028 Implementation-Objects Detection on Image with YOLO v3 and OpenCV-part2.mp4 |
73.89Мб |
| 029 Implementation-Objects Detection on Live Video with YOLO v3 and OpenCV.mp4 |
21.83Мб |
| 030 Introduction to Cat Dog Classifier.mp4 |
53.71Мб |
| 031 Preprocess data.mp4 |
43.69Мб |
| 032 Build a Model.mp4 |
32.10Мб |
| 033 Data Augmentation and Final Model.mp4 |
84.57Мб |
| 034 MNIST Fashion Clothing Classifier.mp4 |
97.90Мб |
| 034 mnist-fashion-datasets-tensorflow2.py |
3.67Кб |
| 035 Introduction to Social Distancing Detector COVID-19.mp4 |
20.19Мб |
| 036 Human Detecting using YOLO.mp4 |
118.08Мб |
| 037 Calculating Distance and Category of Risk.mp4 |
50.32Мб |
| 038 Drawing rectangle and line of different zones.mp4 |
89.59Мб |
| external-assets-links.txt |
105б |
| external-assets-links.txt |
109б |
| external-assets-links.txt |
99б |
| external-assets-links.txt |
109б |