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Real-time Human detection using Tenserflow 2023
INTRODUCTION
Introduction to AI & Neural Networks (7:26)
Object Detection Models (6:05)
Understanding OpenCV (4:06)
Getting to know about Tensorflow (8:10)
GETTING STARTED WITH HUMAN DETECTION MODEL
Human Detection Model (3:08)
System Requirements & Configuration (4:33)
Installing Tools (15:10)
Setting Up Python Environments & Installing PIPs (4:19)
STARTING WITH JUPYTER NOTEBOOK
Introduction to Jupyter Notebook (2:25)
Setting Up Jupyter Notebook (3:04)
Testing the working of Jupyter Notebook (11:45)
SETTING DIRECTORIES & LABEL PATH
Importing Dependencies (5:34)
CODE - Importing Dependencies
Defining and Setting Paths for Labels (5:44)
CODE - Defining and Setting Paths for Labels
CAPTURING IMAGES USING OPEN-CV AND MAKING ANNOTATIONS
Capturing Images using OpenCV (7:47)
CODE - Capturing Images using OpenCV
Downloading Label-Image Tool (9:19)
CODE - Downloading Label-Image Tool
Making Annotations (12:19)
HUMAN DETECTION MODEL & WORKSPACE
Customizing Human Detection Model (9:48)
CODE - Customizing Human Detection Model + Script record file
Working with workspace (6:56)
CODE - Working with workspace
TENSORFLOW MODEL API AND PROTOCOL BUFFERS
Tensorflow Model Garden (7:40)
CODE - Tensorflow Model Garden
Protocol Buffers and Protoc (18:17)
CODE - Protocol Buffers and Protoc
Downloading Pre-Trained Model (5:00)
CODE - Downloading Pre-Trained Model
WORKING WITH MODELS
Label Name and Unique-IDs (4:39)
CODE - Label Name and Unique-IDs
Model Records (18:00)
CODE - Model Records
CONFIGURING PIPELINE CONFIGURATION
Configure,Copy & Writing Pipeline_Config files (6:42)
CODE - Configure,Copy & Writing Pipeline_Config files
TRAINING & EVALUATION OF HUMAN DETECTION MODEL
Training Human Detection Model (18:02)
CODE - Training Human Detection Model
Doing Evaluation of Human Detection Model (15:44)
CODE - Doing Evaluation of Human Detection Model
TRAINED MODEL, CHECK-POINT
Importing Recommended Libraries & Loading Trained Model (3:04)
CODE - Importing Recommended Libraries & Loading Trained Model
TESTING HUMAN DETECTION MODEL
Doing Testing & Detections of a particular image (11:23)
CODE - Doing Testing & Detections of a particular image
REAL-TIME DETECTION FROM WEB-CAMS
Real-Time Detections (17:28)
CODE - Real-Time Detections
SAVING HUMAN DETECTION MODEL
Freezing Graph (10:28)
CODE - Freezing Graph
Converting HDM into TFLite Model (14:17)
CODE- Converting HDM into TFLite Model
Exporting Human Detection Model (1:43)
CODE - Exporting Human Detection Model
Complete source code of HUMAN DETECTION MODEL
Complete Output of This Project (8:17)
Project Summary (9:21)
Conclusion (The learning outcome) (5:13)
Project Summary
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