12.54 GB | 15min 54s | mkv | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Introduction.mkv (63.09 MB)
2 - Introduction to Your Instructor and Course Overview.mkv (68.86 MB)
3 - What is AI and How It Has Evolved.mkv (473.27 MB)
4 - Introduction to Computer Vision and Its Applications.mkv (671.96 MB)
5 - Installing Python.mkv (11.37 MB)
6 - VS Code Setup for Python Development.mkv (32.57 MB)
7 - OpenCv Fundamentals Overview.mkv (134.38 MB)
8 - Reading and Writing Images.mkv (25.75 MB)
9 - Color Space Conversion.mkv (88.06 MB)
10 - Displaying Images and Videos.mkv (268.77 MB)
11 - Image Resizing Cropping and Rotation.mkv (25.85 MB)
12 - Drawing Functions.mkv (131.5 MB)
13 - Image Thresholding.mkv (29.92 MB)
14 - Morphological Operations.mkv (36.38 MB)
15 - Contour Detection.mkv (34.86 MB)
16 - Mask Image Generation.mkv (299.57 MB)
17 - Background Subtraction.mkv (56.39 MB)
18 - Image Bitwise Operations.mkv (131.51 MB)
19 - Histogram Equalization Gamma Correction.mkv (17.66 MB)
20 - Smoothing Filters.mkv (16.83 MB)
21 - Sharpening Filters.mkv (17.9 MB)
22 - Edge Detection Sobel.mkv (41.87 MB)
23 - Contrast Adjustment.mkv (20.11 MB)
input1.mp4 (90.63 MB)
video.mp4 (8.43 MB)
24 - Computer Vision Advanced Introduction Video.mkv (95.58 MB)
25 - Edge Detection Canny.mkv (101.39 MB)
26 - Corner Detection.mkv (37.62 MB)
27 - Keypoint Detection Matching.mkv (33.61 MB)
28 - Texture Analysis.mkv (41.11 MB)
29 - Optical Flow and Motion Analysis.mkv (264.21 MB)
30 - Object Tracking.mkv (118.69 MB)
31 - Image Segmentation.mkv (85.74 MB)
32 - Image object detection.mkv (417.15 MB)
33 - Live streaming.mkv (25.95 MB)
34 - Tesseract OCR Engine.mkv (87.29 MB)
35 - Course Overview and Features.mkv (91.02 MB)
36 - Installing Required Packages Dilib OpenCV etc.mkv (13.36 MB)
37 - Face Enrollment.mkv (85.25 MB)
38 - Extracting Face Embeddings and Identifying Landmark.mkv (37.95 MB)
39 - Training the Facial Recognition Model.mkv (15.74 MB)
40 - RealTime Face Recognition and Attendance.mkv (24.04 MB)
41 - Building the Attendance Management GUI.mkv (9.35 MB)
42 - Introduction of the Driver Drowsiness Detection System.mkv (41.83 MB)
43 - Driver Drowsiness Detection Project Overview.mkv (2.34 MB)
44 - Understanding Key Packages for Driver Drowsiness Detection.mkv (3.64 MB)
45 - Implementing Drowsiness Detection Logic Using EAR and MAR.mkv (9.9 MB)
46 - Integrating Drowsiness Detection with Tkinter GUI.mkv (4.31 MB)
47 - RealTime Driver Drowsiness Detection with Live Video Streaming.mkv (16.35 MB)
48 - RealTime Model Inference for Driver Drowsiness Detection.mkv (7.66 MB)
inpu video1.mp4 (28.27 MB)
49 - Introduction of the Object Detection using yolov7.mkv (6.24 MB)
50 - Object Detection Project Overview.mkv (3.43 MB)
51 - Understanding Key Packages for Object Detection.mkv (7.28 MB)
52 - Understanding the YOLOv7tiny Model Weights.mkv (3.8 MB)
53 - RealTime Object Detection with YOLOv7tiny.mkv (24.58 MB)
54 - Building a Tkinter GUI for RealTime Object Detection.mkv (16.32 MB)
55 - Executing RealTime Model Inference for Object Detection.mkv (31.15 MB)
56 - Introduction of the Weapon Detection using YOLOv7.mkv (10.5 MB)
57 - Weapon Detection Project Overview.mkv (6.99 MB)
58 - Setup in Google Colab for Weapon Detection Model Training.mkv (8.05 MB)
59 - Mounting Google Drive on Google Colab.mkv (4.73 MB)
60 - Utilizing Sohas Weapon Detection Dataset for Weapon Detection.mkv (18.6 MB)
61 - Cloning YOLOv7 Repository and Installing Required Packages.mkv (9.55 MB)
62 - Visualizing the Weapon Detection Dataset.mkv (8.85 MB)
63 - Splitting the Weapon Detection Dataset.mkv (22.66 MB)
64 - Detailed Walkthrough of YOLOv7 Code for Weapon Detection.mkv (252.47 MB)
65 - Training the YOLOv7 Model for Weapon Detection.mkv (49.05 MB)
66 - Model Inference for Weapon Detection.mkv (60.36 MB)
people input1.mp4 (3.47 MB)
people input 2.mp4 (9.39 MB)
67 - Intro to RealTime EntryExit Tracking for Smart Occupancy Management.mkv (11.59 MB)
68 - Understanding the YOLOv8 Algorithm.mkv (6.22 MB)
69 - Setting Up and Exploring Essential Packages.mkv (3.04 MB)
70 - Key Variables and Their Role in YOLOv8.mkv (6.21 MB)
71 - People Counting Logic and Function Implementation.mkv (2.83 MB)
72 - Accessing and Using Line Coordinates for Tracking.mkv (3.87 MB)
73 - Implementing People Counting with YOLOv8 Model Inference.mkv (48.72 MB)
74 - Tkinter Implementation for RealTime People Counting.mkv (11.41 MB)
75 - Package Installation for People Counting System.mkv (5.82 MB)
76 - Drawing Lines on Images for People Counting.mkv (12.51 MB)
77 - Getting Line Coordinates Using Roboflow for People Counting.mkv (9.65 MB)
78 - People In and Out Counting Code Execution.mkv (135.61 MB)
Input1.mp4 (24.39 MB)
Input2.mp4 (16.39 MB)
Input3.mp4 (23.64 MB)
0.mp4 (2.25 MB)
0.mp4 (208.54 KB)
0.mp4 (768.04 KB)
0.mp4 (44 B)
79 - Introduction of the Facial Emotion Detection.mkv (48.23 MB)
80 - Facial Emotion Detection Project Overview.mkv (2.03 MB)
81 - Set up Google Colab.mkv (20.5 MB)
82 - Facial Emotion Detection Dataset Download.mkv (21.72 MB)
83 - Dataset Visualization.mkv (43.35 MB)
84 - Pretrained yolov9 model weight file download.mkv (19.34 MB)
85 - yolov9 model info.mkv (18.7 MB)
86 - yolov9 model code explanation.mkv (193.73 MB)
87 - yolov9 model training.mkv (59.7 MB)
88 - Model Inference Explanation.mkv (84.43 MB)
89 - Code Execution.mkv (21.51 MB)
100 - Getting Polygon Coordinates Using Roboflow for License Plate Detection.mkv (51.2 MB)
101 - Obtaining the NVIDIA NIM API Key for Vehicle License Plate Detection.mkv (11.14 MB)
102 - Vehicle License Plate Detection and Tracking Code Execution.mkv (41.85 MB)
input video1.mp4 (9.12 MB)
90 - Introduction to RealTime License Plate Detection and Recognition.mkv (20.73 MB)
91 - License Plate Detection and Recognition System Overview.mkv (9.63 MB)
92 - Managing Folders and Files of the Project.mkv (10.98 MB)
93 - Setting Up and Exploring Essential Packages.mkv (14.41 MB)
94 - Setting Up API Access for Vehicle Recognition.mkv (4.75 MB)
95 - Key Variables and Their Role in License Plate Detection and Recognition.mkv (23.02 MB)
96 - Implementing License Plate Detection and Recognition.mkv (88.16 MB)
97 - VisionLanguage Model Integration.mkv (69.08 MB)
98 - Tkinter Implementation for RealTime License Plate Detection and Recognition.mkv (20.5 MB)
99 - Package Installation for License Plate Detection and Recognition.mkv (13.85 MB)
103 - Introduction of theTraffic Sign Detection And Recognition System.mkv (20.63 MB)
104 - Google Colab Setup.mkv (33.72 MB)
105 - Packages Installation.mkv (5.89 MB)
106 - Dataset Preparation.mkv (58.49 MB)
107 - Implementing Utility Functions for Traffic Sign Detection.mkv (44.09 MB)
108 - Implementing Loss Function for Traffic Sign Detection.mkv (33.53 MB)
109 - EfficientNetB0 Model Implementation Info.mkv (55.91 MB)
110 - Model Training configuration.mkv (30.35 MB)
111 - Training the EfficientNetB0 Model.mkv (54.55 MB)
112 - Model Inference.mkv (216.84 MB)
113 - Launching VS Code from the Command Line.mkv (1.74 MB)
114 - Managing Folders and Files of the Project.mkv (4.69 MB)
115 - Understanding and Setting Up Required Packages.mkv (9.35 MB)
116 - Accessing and Using Polygon Coordinates for Tracking.mkv (3.34 MB)
117 - Key Variables and Their Role in YOLOv8.mkv (7.34 MB)
118 - Model Inference Code Explanation for Intrusion Detection.mkv (88.68 MB)
119 - Tkinter Implementation for RealTime Intrusion Detection.mkv (20.6 MB)
120 - Getting Polygon Coordinates Using Roboflow for Intrusion Detection.mkv (28.29 MB)
121 - Intrusion Detection Code Execution.mkv (39.4 MB)
intrusion input1.mp4 (3.47 MB)
intrusion input2.mp4 (98.5 MB)
122 - Introduction of the PPE Detection Detection System.mkv (39.02 MB)
123 - PPE Detection Project Overview.mkv (11.47 MB)
124 - File Uploaded on Google Colab.mkv (29.41 MB)
125 - Dataset Visualization.mkv (17.18 MB)
126 - PPE Model Information.mkv (6.13 MB)
127 - PPE Code Execution.mkv (147.11 MB)
128 - VS Code Open.mkv (2.95 MB)
129 - Packages and Module Import.mkv (10.56 MB)
130 - NVIDIA Nim Information.mkv (6.06 MB)
131 - API Information.mkv (28.42 MB)
132 - File Format.mkv (4.67 MB)
133 - Predict API.mkv (72.98 MB)
134 - Get API.mkv (6.29 MB)
135 - Code Execution.mkv (134.42 MB)
136 - Introduction to Age and Gender Detection.mkv (29.35 MB)
137 - Age and Gender Detection Project Overview.mkv (7.7 MB)
138 - Packages Information for Age and Gender Detection.mkv (9.66 MB)
139 - Variable Initialization and System Configuration.mkv (9.32 MB)
140 - Folder Creation.mkv (7.25 MB)
141 - Model Inference.mkv (91.3 MB)
142 - TKinter Implementation.mkv (33.03 MB)
143 - Package Installation.mkv (6.88 MB)
144 - Code Execution.mkv (13.98 MB)
input.mp4 (9.69 MB)
145 - Intro to AIPowered Accident Detection RealTime Monitoring Alert System.mkv (32.43 MB)
146 - AI Accident Detection RealTime Monitoring Alert System Project Overview.mkv (7.79 MB)
147 - Configuring the environment on Google Colab.mkv (18.07 MB)
148 - Setting Up and Exploring Essential Packages.mkv (20.28 MB)
149 - Dataset Acquisition Downloading Understanding.mkv (20.77 MB)
150 - Dataset Visualization Analysis.mkv (42.76 MB)
151 - Dataset Preprocessing Normalization Resizing.mkv (53.65 MB)
152 - Label Encoding Data Preparation.mkv (25.1 MB)
153 - Training Validation Data Visualization.mkv (2.89 MB)
154 - CNN Model Implementation Training.mkv (260.33 MB)
155 - Downloading and Saving Trained Model Weights.mkv (4.08 MB)
156 - Understanding MQTT Protocol Package Requirements.mkv (23.95 MB)
157 - Model Inference Code Walkthrough.mkv (35.57 MB)
158 - Final Code Execution Live Demonstration.mkv (59.46 MB)
vehicle count input1.mp4 (3.46 MB)
vehicle count input2.mp4 (1.58 MB)
vehicle count input3.mp4 (33.71 MB)
159 - Introduction of Smart Vehicle Speed Tracking System.mkv (7.5 MB)
160 - Vehicle Detection and Speed Tracking System Overview.mkv (6.6 MB)
161 - Setting Up and Exploring Essential Packages.mkv (6.11 MB)
162 - Calibration for RealWorld Measurements.mkv (4.48 MB)
163 - Implementing Vehicle Speed Tracking with YOLOv8 Model Inference.mkv (27.06 MB)
164 - Vehicle Speed Calculation Logic and Function Implementation.mkv (18.29 MB)
165 - Tkinter Implementation for RealTime Vehicle Speed Tracking.mkv (12.94 MB)
166 - Vehicle Speed Tracking Code Execution.mkv (46.45 MB)
carpark 1.mp4 (24.41 MB)
carpark 2.mp4 (10.12 MB)
167 - Introduction to RealTime Vehicle Tracking for Effective Parking Management.mkv (14.92 MB)
168 - Managing Folders and Files of the Project.mkv (5.47 MB)
169 - Vehicle Detection and Parking Slot Tracking System Overview.mkv (8.13 MB)
170 - Setting Up and Exploring Essential Packages.mkv (12.48 MB)
171 - Implementing Vehicle Parking Management with Flask.mkv (2.99 MB)
172 - Building the Backend for Vehicle Parking Management with Flask.mkv (25.62 MB)
173 - Implementing Vehicle Parking Detection and Occupancy Tracking.mkv (68.48 MB)
174 - Package Installation for Vehicle Parking Management system.mkv (8.02 MB)
175 - Get Polygon Coordinates with Roboflow to Calculate Available Parking Spaces.mkv (19.38 MB)
176 - Vehicle Parking Space Detection and Occupancy Tracking Code Execution.mkv (68.62 MB)
mask video.mp4 (5.32 MB)
no mask.mp4 (16.24 MB)
177 - Introduction to Face Mask Detection and Recognition.mkv (21.28 MB)
178 - Face Mask Detection System Project Overview.mkv (9.4 MB)
179 - Google Drive Mount.mkv (29.9 MB)
180 - Face Mask Detection Dataset Download.mkv (27.25 MB)
181 - Dataset Visualization.mkv (10.61 MB)
182 - Ultralytics Installation Setting Up YOLOv11 for Mask Detection.mkv (9.4 MB)
183 - YOLOv11 Model Training for Mask Detection.mkv (81.52 MB)
184 - Packages Explanation.mkv (24.06 MB)
185 - Model Inference Code Explanation.mkv (57.63 MB)
186 - Tkinter Implementation.mkv (31.62 MB)
187 - Code Execution.mkv (27.82 MB)
188 - Hand Gesture Detection and Recognition Overview.mkv (4.81 MB)
189 - Setting Up and Exploring Essential Packages.mkv (4.01 MB)
190 - Key Variables and Their Role in Hand Gesture Recognition.mkv (6.32 MB)
191 - Annotating Frames with Detected Gestures and Landmarks.mkv (6.72 MB)
192 - RealTime Gesture Recognition and Frame Processing.mkv (6.55 MB)
193 - Integrating RealTime Gesture Recognition with Tkinter GUI.mkv (11.42 MB)
194 - Tkinter Implementation for RealTime Hand Gesture Recognition.mkv (11.64 MB)
195 - Package Installation for Hand Gesture Recognition System.mkv (4.72 MB)
196 - Hand Gesture Recognition Code Execution.mkv (14.25 MB)
vehicle count input1.mp4 (3.46 MB)
vehicle count input2.mp4 (1.58 MB)
vehicle count input3.mp4 (33.71 MB)
197 - Intro to RealTime Vehicle Traffic Monitoring for Efficient Traffic Management.mkv (8.37 MB)
198 - Vehicle Detection and Traffic Monitoring System Overview.mkv (6.19 MB)
199 - Setting Up and Exploring Essential Packages.mkv (5.01 MB)
200 - User Input and Video File Selection.mkv (2.87 MB)
201 - Implementing Vehicle Monitoring with YOLOv8 Model Inference.mkv (37.77 MB)
202 - Tkinter Implementation for RealTime Vehicle Monitoring.mkv (24 MB)
203 - Vehicle Traffic Monitoring Code Execution.mkv (48.28 MB)
Pushups.mp4 (3.98 MB)
squat.mp4 (7.65 MB)
204 - Introduction of the Human Fitness Tracking System.mkv (27.32 MB)
205 - Project Overview Purpose.mkv (9.48 MB)
206 - Packages Overview MediaPipe Initialization.mkv (13.89 MB)
207 - Calculating Angles in Pose Estimation.mkv (12.73 MB)
208 - Logic Behind Repetition Counting.mkv (76.52 MB)
209 - Tkinter Log Window Variable Initialization.mkv (13.91 MB)
210 - Model Inference and Code Explanation.mkv (82.65 MB)
211 - Tkinter Implementation for UI.mkv (26.82 MB)
212 - Package Installation Guide.mkv (14.56 MB)
213 - Code Execution Workflow.mkv (168.91 MB)
input video1.mp4 (982.69 KB)
input video2.mp4 (1.69 MB)
214 - Introduction to AIPowered Fall Down Detection Alert System.mkv (28.08 MB)
215 - Fall Down Detection System Project Overview.mkv (10.07 MB)
216 - Dependency Package Overview.mkv (13.59 MB)
217 - Installation MQTT Setup.mkv (14.6 MB)
218 - User Registration Login API.mkv (11.71 MB)
219 - MQTT Flask Integration.mkv (13.38 MB)
220 - Fall Detection Logic.mkv (12.32 MB)
221 - Prediction API Workflow.mkv (71.82 MB)
222 - Code Execution Testing.mkv (32.78 MB)
Animal Video 1.mp4 (11.07 MB)
Animal Video 2.mp4 (14.26 MB)
223 - Introduction to Animal Detection System.mkv (17.38 MB)
224 - Animal Detection System Project Overview.mkv (3.57 MB)
225 - Setting Up Google Colab and Mounting Google Drive.mkv (17.08 MB)
226 - Dataset Download and Exploration.mkv (4.77 MB)
227 - Dataset Preprocessing and Augmentation.mkv (14.31 MB)
228 - Splitting the Dataset for Training Validation and Testing.mkv (9.94 MB)
229 - Visualizing the Animal Dataset and Augmented Data.mkv (10.96 MB)
230 - EfficientNetB0 Model Implementation.mkv (31.96 MB)
231 - Training the EfficientNetB0 Model and Monitoring Progress.mkv (55.77 MB)
232 - Model Inference using Flask and Ngrok.mkv (284.94 MB)
233 - Code Execution.mkv (78.24 MB)
234 - Introduction of the Driver Distraction System.mkv (21.99 MB)
235 - Driver Distraction Project Overview.mkv (4.29 MB)
236 - Google Colab Setup Google Drive Mount.mkv (12 MB)
237 - Dataset Download Exploration.mkv (25.6 MB)
238 - Data Visualization Insights.mkv (13.81 MB)
239 - Data Preprocessing Augmentation.mkv (145.22 MB)
240 - ResNet50 Model Architecture Implementation.mkv (203.75 MB)
241 - Model Training Optimization.mkv (240.57 MB)
242 - Model Inference Code Explanation.mkv (51.37 MB)
243 - Code Execution.mkv (79.64 MB)
244 - Course WrapUp.mkv (41.63 MB)]
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