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[ CourseLala com ] Udemy - Face Mask Recognition Desktop App with Deep Learning & PyQT
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1. Introduction
1. Introduction.mp4
1. Introduction.srt
2. Setting Up Project
1. Install Python.mp4
1. Install Python.srt
2. Create Virtual Environment in Python.mp4
2. Create Virtual Environment in Python.srt
3. Install Libraries like TensorFlow 2, OpenCV etc..mp4
3. Install Libraries like TensorFlow 2, OpenCV etc..srt
3. Data Preparation & Preprocessing
1. Download Resources.html
10. Face Detection Load Model.mp4
10. Face Detection Load Model.srt
11. Face Detection Blob from Image.mp4
11. Face Detection Blob from Image.srt
12. Draw Bounding Box for Detected Face.mp4
12. Draw Bounding Box for Detected Face.srt
13. Step - 4, Crop the Detected Face.mp4
13. Step - 4, Crop the Detected Face.srt
14. Step - 5, Image Processing - Blob from Image (RGB mean subtraction image).mp4
14. Step - 5, Image Processing - Blob from Image (RGB mean subtraction image).srt
15. Step - 5, Image Processing - Rotate & Flip Image.mp4
15. Step - 5, Image Processing - Rotate & Flip Image.srt
16. Step -5, Remove Negative values and Normalize.mp4
16. Step -5, Remove Negative values and Normalize.srt
17. Apply Data Preparation process to All images.mp4
17. Apply Data Preparation process to All images.srt
18. Step - 6, Save Preprocessed Data in Numpy zip.mp4
18. Step - 6, Save Preprocessed Data in Numpy zip.srt
2. Data.mp4
2. Data.srt
2.1 1_Download_the_data.pdf
3. Data Preparation Process.mp4
3. Data Preparation Process.srt
4. Data Preparation Import Required Python Libraries.mp4
4. Data Preparation Import Required Python Libraries.srt
5. Data Preparation Get all Images Path in Folder.mp4
5. Data Preparation Get all Images Path in Folder.srt
6. Data Preparation Labeling.mp4
6. Data Preparation Labeling.srt
7. Data Preparation Get Images Path and Labelling Images in multiple Folders.mp4
7. Data Preparation Get Images Path and Labelling Images in multiple Folders.srt
8. Step - 3, Face Detection.mp4
8. Step - 3, Face Detection.srt
9. Face Detection Read Image.mp4
9. Face Detection Read Image.srt
4. Face Recognition Model for Mask Identification with Deep Learning
1. Load Numpy Zip Data into Notebook.mp4
1. Load Numpy Zip Data into Notebook.srt
2. One Hot Encoding to target or output variable (y).mp4
2. One Hot Encoding to target or output variable (y).srt
3. Split the Data into Train and Test sets.mp4
3. Split the Data into Train and Test sets.srt
4. Convolutional Neural Network Architecture.mp4
4. Convolutional Neural Network Architecture.srt
5. Develop CNN model in TensorFlow 2.mp4
5. Develop CNN model in TensorFlow 2.srt
6. Compile CNN model, Setting Adam Optimizer & Loss Function.mp4
6. Compile CNN model, Setting Adam Optimizer & Loss Function.srt
7. Train CNN model.mp4
7. Train CNN model.srt
8. Save Deep Learning Model in TensorFlow.mp4
8. Save Deep Learning Model in TensorFlow.srt
5. Predictions with Face Recognition model for Face Mask
1. Load TensorFlow based CNN Model in a Notebook.mp4
1. Load TensorFlow based CNN Model in a Notebook.srt
2. Defining Labels and Setting Colors.mp4
2. Defining Labels and Setting Colors.srt
3. Step - 1, Face Detection.mp4
3. Step - 1, Face Detection.srt
4. Step -2, Data Preprocess.mp4
4. Step -2, Data Preprocess.srt
5. Step - 3, Get Predictions from CNN Model for Face Mask.mp4
5. Step - 3, Get Predictions from CNN Model for Face Mask.srt
6. Generate text for Prediction info.mp4
6. Generate text for Prediction info.srt
7. Get Face Mask Prediction to an Image.mp4
7. Get Face Mask Prediction to an Image.srt
8. Real Time Face Mask Prediction.mp4
8. Real Time Face Mask Prediction.srt
6. PyQt Basics
1. What you will Develop.mp4
1. What you will Develop.srt
10. QLabel.mp4
10. QLabel.srt
11. QLineEdit.mp4
11. QLineEdit.srt
12. QPushButton.mp4
12. QPushButton.srt
13. QComboBox.mp4
13. QComboBox.srt
14. Placing & Arranging Widgets.mp4
14. Placing & Arranging Widgets.srt
15. Placing Widgets using QHBoxLayout and QVBoxLayout.mp4
15. Placing Widgets using QHBoxLayout and QVBoxLayout.srt
16. Signals and Slots.mp4
16. Signals and Slots.srt
17. Backend Operations in PyQt.mp4
17. Backend Operations in PyQt.srt
2. Install Visual Studio Code.mp4
2. Install Visual Studio Code.srt
3. Setting Up Project.mp4
3. Setting Up Project.srt
4. Install PyQt and Connect VS code to Virtual Environment.mp4
4. Install PyQt and Connect VS code to Virtual Environment.srt
5. PyQt Background.mp4
5. PyQt Background.srt
6. Your First PyQt App with QtWidgets.mp4
6. Your First PyQt App with QtWidgets.srt
7. Qt Template.mp4
7. Qt Template.srt
8. QtWidgets.mp4
8. QtWidgets.srt
9. QWidget.mp4
9. QWidget.srt
pyqt_basics
hello_world.py
images
lemon.jpg
peach.jpg
raddish.jpeg
strawberry.jpg
qt_icon.png
qt_template.py
sample.jpg
7. Desktop App with PyQt
1. What you will develop.mp4
1. What you will develop.srt
2. Setting up Visual studio code.mp4
2. Setting up Visual studio code.srt
3. Create Main Window.mp4
3. Create Main Window.srt
4. PyQT Front End Design of Desktop App.mp4
4. PyQT Front End Design of Desktop App.srt
5. Face Mask Desktop App using PyQt.html
8. BONUS
1. Bonus Lecture.html
Bonus Resources.txt
Torrent description
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