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[ CourseLala.com ] Udemy - Face Mask Recognition Desktop App with Deep Learning & PyQT
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1.19 GB
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[ CourseLala.com ] Udemy - Face Mask Recognition Desktop App with Deep Learning & PyQT
~Get Your Files Here !
5. Predictions with Face Recognition model for Face Mask
3. Step - 1, Face Detection.mp4
- 49.44 MB
5. Step - 3, Get Predictions from CNN Model for Face Mask.mp4
- 33.68 MB
7. Get Face Mask Prediction to an Image.mp4
- 33.49 MB
4. Step -2, Data Preprocess.mp4
- 31.23 MB
6. Generate text for Prediction info.mp4
- 28.63 MB
8. Real Time Face Mask Prediction.mp4
- 28.54 MB
1. Load TensorFlow based CNN Model in a Notebook.mp4
- 19.57 MB
2. Defining Labels and Setting Colors.mp4
- 15.37 MB
3. Step - 1, Face Detection.srt
- 13.31 KB
4. Step -2, Data Preprocess.srt
- 6.94 KB
1. Load TensorFlow based CNN Model in a Notebook.srt
- 6.83 KB
5. Step - 3, Get Predictions from CNN Model for Face Mask.srt
- 6.17 KB
7. Get Face Mask Prediction to an Image.srt
- 5.71 KB
8. Real Time Face Mask Prediction.srt
- 5.58 KB
6. Generate text for Prediction info.srt
- 5.02 KB
2. Defining Labels and Setting Colors.srt
- 4.9 KB
6. PyQt Basics
17. Backend Operations in PyQt.mp4
- 48.88 MB
15. Placing Widgets using QHBoxLayout and QVBoxLayout.mp4
- 41.12 MB
10. QLabel.mp4
- 30.71 MB
2. Install Visual Studio Code.mp4
- 28.52 MB
3. Setting Up Project.mp4
- 28.51 MB
9. QWidget.mp4
- 28.1 MB
16. Signals and Slots.mp4
- 24.33 MB
6. Your First PyQt App with QtWidgets.mp4
- 17.39 MB
7. Qt Template.mp4
- 16.68 MB
1. What you will Develop.mp4
- 13.64 MB
11. QLineEdit.mp4
- 12.05 MB
13. QComboBox.mp4
- 9.84 MB
12. QPushButton.mp4
- 9.03 MB
5. PyQt Background.mp4
- 7.74 MB
4. Install PyQt and Connect VS code to Virtual Environment.mp4
- 5.43 MB
14. Placing & Arranging Widgets.mp4
- 4.97 MB
8. QtWidgets.mp4
- 4.07 MB
pyqt_basics
sample.jpg
- 748.53 KB
images
raddish.jpeg
- 56.17 KB
strawberry.jpg
- 41.27 KB
lemon.jpg
- 35.83 KB
peach.jpg
- 34.84 KB
qt_icon.png
- 4.97 KB
qt_template.py
- 2.35 KB
hello_world.py
- 148 B
15. Placing Widgets using QHBoxLayout and QVBoxLayout.srt
- 9.29 KB
17. Backend Operations in PyQt.srt
- 8.75 KB
9. QWidget.srt
- 8.58 KB
2. Install Visual Studio Code.srt
- 8.41 KB
3. Setting Up Project.srt
- 8.41 KB
10. QLabel.srt
- 7.53 KB
6. Your First PyQt App with QtWidgets.srt
- 6.15 KB
7. Qt Template.srt
- 4.73 KB
16. Signals and Slots.srt
- 4.5 KB
5. PyQt Background.srt
- 3.13 KB
11. QLineEdit.srt
- 3.03 KB
12. QPushButton.srt
- 2.48 KB
14. Placing & Arranging Widgets.srt
- 2.24 KB
13. QComboBox.srt
- 2.17 KB
8. QtWidgets.srt
- 1.82 KB
4. Install PyQt and Connect VS code to Virtual Environment.srt
- 1.73 KB
1. What you will Develop.srt
- 1.52 KB
3. Data Preparation & Preprocessing
12. Draw Bounding Box for Detected Face.mp4
- 41.59 MB
14. Step - 5, Image Processing - Blob from Image (RGB mean subtraction image).mp4
- 37.15 MB
2. Data.mp4
- 36.23 MB
17. Apply Data Preparation process to All images.mp4
- 35.61 MB
13. Step - 4, Crop the Detected Face.mp4
- 30.4 MB
5. Data Preparation Get all Images Path in Folder.mp4
- 24.57 MB
3. Data Preparation Process.mp4
- 24.14 MB
7. Data Preparation Get Images Path and Labelling Images in multiple Folders.mp4
- 22.15 MB
16. Step -5, Remove Negative values and Normalize.mp4
- 19.59 MB
15. Step - 5, Image Processing - Rotate & Flip Image.mp4
- 19.45 MB
11. Face Detection Blob from Image.mp4
- 16.42 MB
18. Step - 6, Save Preprocessed Data in Numpy zip.mp4
- 12.92 MB
4. Data Preparation Import Required Python Libraries.mp4
- 11.34 MB
9. Face Detection Read Image.mp4
- 10.39 MB
6. Data Preparation Labeling.mp4
- 8.79 MB
10. Face Detection Load Model.mp4
- 6.81 MB
8. Step - 3, Face Detection.mp4
- 4.95 MB
2.1 1_Download_the_data.pdf
- 571.74 KB
17. Apply Data Preparation process to All images.srt
- 9.23 KB
12. Draw Bounding Box for Detected Face.srt
- 9 KB
14. Step - 5, Image Processing - Blob from Image (RGB mean subtraction image).srt
- 8.54 KB
2. Data.srt
- 7.3 KB
5. Data Preparation Get all Images Path in Folder.srt
- 6.74 KB
3. Data Preparation Process.srt
- 5.34 KB
13. Step - 4, Crop the Detected Face.srt
- 5 KB
16. Step -5, Remove Negative values and Normalize.srt
- 4.53 KB
4. Data Preparation Import Required Python Libraries.srt
- 4.02 KB
11. Face Detection Blob from Image.srt
- 3.97 KB
15. Step - 5, Image Processing - Rotate & Flip Image.srt
- 3.92 KB
18. Step - 6, Save Preprocessed Data in Numpy zip.srt
- 3.6 KB
7. Data Preparation Get Images Path and Labelling Images in multiple Folders.srt
- 2.55 KB
9. Face Detection Read Image.srt
- 2.46 KB
6. Data Preparation Labeling.srt
- 1.99 KB
10. Face Detection Load Model.srt
- 1.89 KB
8. Step - 3, Face Detection.srt
- 1.24 KB
1. Download Resources.html
- 320 B
4. Face Recognition Model for Mask Identification with Deep Learning
5. Develop CNN model in TensorFlow 2.mp4
- 35.19 MB
8. Save Deep Learning Model in TensorFlow.mp4
- 24.84 MB
2. One Hot Encoding to target or output variable (y).mp4
- 21.09 MB
6. Compile CNN model, Setting Adam Optimizer & Loss Function.mp4
- 20.81 MB
1. Load Numpy Zip Data into Notebook.mp4
- 13.96 MB
4. Convolutional Neural Network Architecture.mp4
- 13.31 MB
7. Train CNN model.mp4
- 11.43 MB
3. Split the Data into Train and Test sets.mp4
- 10.12 MB
4. Convolutional Neural Network Architecture.srt
- 9.08 KB
5. Develop CNN model in TensorFlow 2.srt
- 9 KB
2. One Hot Encoding to target or output variable (y).srt
- 5.78 KB
8. Save Deep Learning Model in TensorFlow.srt
- 5.29 KB
1. Load Numpy Zip Data into Notebook.srt
- 5.01 KB
6. Compile CNN model, Setting Adam Optimizer & Loss Function.srt
- 4.22 KB
3. Split the Data into Train and Test sets.srt
- 3.18 KB
7. Train CNN model.srt
- 2.91 KB
2. Setting Up Project
3. Install Libraries like TensorFlow 2, OpenCV etc..mp4
- 30.96 MB
1. Install Python.mp4
- 16.86 MB
2. Create Virtual Environment in Python.mp4
- 4.7 MB
3. Install Libraries like TensorFlow 2, OpenCV etc..srt
- 6.01 KB
1. Install Python.srt
- 2.84 KB
2. Create Virtual Environment in Python.srt
- 2.67 KB
7. Desktop App with PyQt
4. PyQT Front End Design of Desktop App.mp4
- 30.64 MB
1. What you will develop.mp4
- 10.8 MB
2. Setting up Visual studio code.mp4
- 7.73 MB
3. Create Main Window.mp4
- 7.67 MB
4. PyQT Front End Design of Desktop App.srt
- 8.4 KB
3. Create Main Window.srt
- 2.96 KB
2. Setting up Visual studio code.srt
- 2.52 KB
1. What you will develop.srt
- 2.18 KB
5. Face Mask Desktop App using PyQt.html
- 102 B
1. Introduction
1. Introduction.mp4
- 23.48 MB
1. Introduction.srt
- 3.39 KB
8. BONUS
1. Bonus Lecture.html
- 1.04 KB
Bonus Resources.txt
- 357 B
Get Bonus Downloads Here.url
- 180 B
Trackers
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InfoHash:
ACC1C4929A30E26E2ED84236E7AC5D245B820E94
Last updated:
Jan 23, 2022
File count:
130 B
File Category:
9
Tags:
Udemy, Face Detection, Data Science, Development, Other, Tutorials
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