| 1. Bonus Lecture.html | 1 KB | ||
| 1. Download Resources.html | 307.2 B | ||
| 1. Install Python.mp4 | 16.9 MB | ||
| 1. Install Python.srt | 2.8 KB | ||
| 1. Introduction.mp4 | 23.5 MB | ||
| 1. Introduction.srt | 3.4 KB | ||
| 1. Load Numpy Zip Data into Notebook.mp4 | 14 MB | ||
| 1. Load Numpy Zip Data into Notebook.srt | 5 KB | ||
| 1. Load TensorFlow based CNN Model in a Notebook.mp4 | 19.6 MB | ||
| 1. Load TensorFlow based CNN Model in a Notebook.srt | 6.8 KB | ||
| 1. What you will Develop.mp4 | 13.6 MB | ||
| 1. What you will Develop.srt | 1.5 KB | ||
| 1. What you will develop.mp4 | 10.8 MB | ||
| 1. What you will develop.srt | 2.2 KB | ||
| 10. Face Detection Load Model.mp4 | 6.8 MB | ||
| 10. Face Detection Load Model.srt | 1.9 KB | ||
| 10. QLabel.mp4 | 30.7 MB | ||
| 10. QLabel.srt | 7.5 KB | ||
| 11. Face Detection Blob from Image.mp4 | 16.4 MB | ||
| 11. Face Detection Blob from Image.srt | 4 KB | ||
| 11. QLineEdit.mp4 | 12 MB | ||
| 11. QLineEdit.srt | 3 KB | ||
| 12. Draw Bounding Box for Detected Face.mp4 | 41.6 MB | ||
| 12. Draw Bounding Box for Detected Face.srt | 9 KB | ||
| 12. QPushButton.mp4 | 9 MB | ||
| 12. QPushButton.srt | 2.5 KB | ||
| 13. QComboBox.mp4 | 9.8 MB | ||
| 13. QComboBox.srt | 2.2 KB | ||
| 13. Step - 4, Crop the Detected Face.mp4 | 30.4 MB | ||
| 13. Step - 4, Crop the Detected Face.srt | 5 KB | ||
| 14. Placing & Arranging Widgets.mp4 | 5 MB | ||
| 14. Placing & Arranging Widgets.srt | 2.2 KB | ||
| 14. Step - 5, Image Processing - Blob from Image (RGB mean subtraction image).mp4 | 37.1 MB | ||
| 14. Step - 5, Image Processing - Blob from Image (RGB mean subtraction image).srt | 8.5 KB | ||
| 15. Placing Widgets using QHBoxLayout and QVBoxLayout.mp4 | 41.1 MB | ||
| 15. Placing Widgets using QHBoxLayout and QVBoxLayout.srt | 9.3 KB | ||
| 15. Step - 5, Image Processing - Rotate & Flip Image.mp4 | 19.4 MB | ||
| 15. Step - 5, Image Processing - Rotate & Flip Image.srt | 3.9 KB | ||
| 16. Signals and Slots.mp4 | 24.3 MB | ||
| 16. Signals and Slots.srt | 4.5 KB | ||
| 16. Step -5, Remove Negative values and Normalize.mp4 | 19.6 MB | ||
| 16. Step -5, Remove Negative values and Normalize.srt | 4.5 KB | ||
| 17. Apply Data Preparation process to All images.mp4 | 35.6 MB | ||
| 17. Apply Data Preparation process to All images.srt | 9.2 KB | ||
| 17. Backend Operations in PyQt.mp4 | 48.9 MB | ||
| 17. Backend Operations in PyQt.srt | 8.7 KB | ||
| 18. Step - 6, Save Preprocessed Data in Numpy zip.mp4 | 12.9 MB | ||
| 18. Step - 6, Save Preprocessed Data in Numpy zip.srt | 3.6 KB | ||
| 2. Create Virtual Environment in Python.mp4 | 4.7 MB | ||
| 2. Create Virtual Environment in Python.srt | 2.7 KB | ||
| 2. Data.mp4 | 36.2 MB | ||
| 2. Data.srt | 7.3 KB | ||
| 2. Defining Labels and Setting Colors.mp4 | 15.4 MB | ||
| 2. Defining Labels and Setting Colors.srt | 4.9 KB | ||
| 2. Install Visual Studio Code.mp4 | 28.5 MB | ||
| 2. Install Visual Studio Code.srt | 8.4 KB | ||
| 2. One Hot Encoding to target or output variable (y).mp4 | 21.1 MB | ||
| 2. One Hot Encoding to target or output variable (y).srt | 5.8 KB | ||
| 2. Setting up Visual studio code.mp4 | 7.7 MB | ||
| 2. Setting up Visual studio code.srt | 2.5 KB | ||
| 2.1 1_Download_the_data.pdf | 571.7 KB | ||
| 3. Create Main Window.mp4 | 7.7 MB | ||
| 3. Create Main Window.srt | 3 KB | ||
| 3. Data Preparation Process.mp4 | 24.1 MB | ||
| 3. Data Preparation Process.srt | 5.3 KB | ||
| 3. Install Libraries like TensorFlow 2, OpenCV etc..mp4 | 31 MB | ||
| 3. Install Libraries like TensorFlow 2, OpenCV etc..srt | 6 KB | ||
| 3. Setting Up Project.mp4 | 28.5 MB | ||
| 3. Setting Up Project.srt | 8.4 KB | ||
| 3. Split the Data into Train and Test sets.mp4 | 10.1 MB | ||
| 3. Split the Data into Train and Test sets.srt | 3.2 KB | ||
| 3. Step - 1, Face Detection.mp4 | 49.4 MB | ||
| 3. Step - 1, Face Detection.srt | 13.3 KB | ||
| 4. Convolutional Neural Network Architecture.mp4 | 13.3 MB | ||
| 4. Convolutional Neural Network Architecture.srt | 9.1 KB | ||
| 4. Data Preparation Import Required Python Libraries.mp4 | 11.3 MB | ||
| 4. Data Preparation Import Required Python Libraries.srt | 4 KB | ||
| 4. Install PyQt and Connect VS code to Virtual Environment.mp4 | 5.4 MB | ||
| 4. Install PyQt and Connect VS code to Virtual Environment.srt | 1.7 KB | ||
| 4. PyQT Front End Design of Desktop App.mp4 | 30.6 MB | ||
| 4. PyQT Front End Design of Desktop App.srt | 8.4 KB | ||
| 4. Step -2, Data Preprocess.mp4 | 31.2 MB | ||
| 4. Step -2, Data Preprocess.srt | 6.9 KB | ||
| 5. Data Preparation Get all Images Path in Folder.mp4 | 24.6 MB | ||
| 5. Data Preparation Get all Images Path in Folder.srt | 6.7 KB | ||
| 5. Develop CNN model in TensorFlow 2.mp4 | 35.2 MB | ||
| 5. Develop CNN model in TensorFlow 2.srt | 9 KB | ||
| 5. Face Mask Desktop App using PyQt.html | 102.4 B | ||
| 5. PyQt Background.mp4 | 7.7 MB | ||
| 5. PyQt Background.srt | 3.1 KB | ||
| 5. Step - 3, Get Predictions from CNN Model for Face Mask.mp4 | 33.7 MB | ||
| 5. Step - 3, Get Predictions from CNN Model for Face Mask.srt | 6.2 KB | ||
| 6. Compile CNN model, Setting Adam Optimizer & Loss Function.mp4 | 20.8 MB | ||
| 6. Compile CNN model, Setting Adam Optimizer & Loss Function.srt | 4.2 KB | ||
| 6. Data Preparation Labeling.mp4 | 8.8 MB | ||
| 6. Data Preparation Labeling.srt | 2 KB | ||
| 6. Generate text for Prediction info.mp4 | 28.6 MB | ||
| 6. Generate text for Prediction info.srt | 5 KB | ||
| 6. Your First PyQt App with QtWidgets.mp4 | 17.4 MB | ||
| 6. Your First PyQt App with QtWidgets.srt | 6.1 KB | ||
| 7. Data Preparation Get Images Path and Labelling Images in multiple Folders.mp4 | 22.1 MB | ||
| 7. Data Preparation Get Images Path and Labelling Images in multiple Folders.srt | 2.6 KB | ||
| 7. Get Face Mask Prediction to an Image.mp4 | 33.5 MB | ||
| 7. Get Face Mask Prediction to an Image.srt | 5.7 KB | ||
| 7. Qt Template.mp4 | 16.7 MB | ||
| 7. Qt Template.srt | 4.7 KB | ||
| 7. Train CNN model.mp4 | 11.4 MB | ||
| 7. Train CNN model.srt | 2.9 KB | ||
| 8. QtWidgets.mp4 | 4.1 MB | ||
| 8. QtWidgets.srt | 1.8 KB | ||
| 8. Real Time Face Mask Prediction.mp4 | 28.5 MB | ||
| 8. Real Time Face Mask Prediction.srt | 5.6 KB | ||
| 8. Save Deep Learning Model in TensorFlow.mp4 | 24.8 MB | ||
| 8. Save Deep Learning Model in TensorFlow.srt | 5.3 KB | ||
| 8. Step - 3, Face Detection.mp4 | 4.9 MB | ||
| 8. Step - 3, Face Detection.srt | 1.2 KB | ||
| 9. Face Detection Read Image.mp4 | 10.4 MB | ||
| 9. Face Detection Read Image.srt | 2.5 KB | ||
| 9. QWidget.mp4 | 28.1 MB | ||
| 9. QWidget.srt | 8.6 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| hello_world.py | 102.4 B | ||
| lemon.jpg?042148 | 35.8 KB | ||
| peach.jpg?042148 | 34.8 KB | ||
| qt_icon.png | 5 KB | ||
| qt_template.py | 2.3 KB | ||
| raddish.jpeg | 56.2 KB | ||
| sample.jpg?042148 | 748.5 KB | ||
| strawberry.jpg?042148 | 41.3 KB | ||
| ▲ 130 total files | |||
Face Mask Recognition Desktop App with Deep Learning & PyQT
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 61 lectures (3h 59m) | Size: 958.6 MB
Learn Face Recognition for Face Mask Detection using Python, TensorFlow 2, OpenCV, PyQT, Qt
What you'll learn:
Face Recognition for Mask detection with Deep Learning
Develop Convolutional Network Network for Face Mask from Scratch using TensorFlow
Preprocess the big data of image
OpenCV for Face Detection
Requirements
Basic Python Knowledge
Familiar with Tensor Flow and Deep Learning
Familiar with Numpy and Pandas
Description
Project that you will be Developing:
Prerequisite of Project: OpenCV
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.5 GB | freecoursewb | 2 weeks | 16 | 14 | |
| 1 GB | freecoursewb | 2 months | 2 | 4 | |
| 1 GB | freecoursewb | 4 months | 17 | 1 | |
| 1.5 GB | freecoursewb | 8 months | 12 | 1 | |
| 1.4 GB | freecoursewb | 10 months | 2 | 2 |
All Comments