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