4.58 GB | 00:08:37 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction (44.67 MB)
2 Topics to be covered in this course (43.98 MB)
1 Loading the Libraries and Model (29.19 MB)
2 Continuation of the Face Recognition (70.8 MB)
3 Doubts about the Face Recognition (48.57 MB)
4 Execution of code for the Face Recognition (57.13 MB)
5 Brief of Today's Session (17 MB)
6 Doubts for SESSION 2 (57.94 MB)
1 Introduction (30.27 MB)
1 Object Detection (65.34 MB)
2 Doubts about Object Detection (40.69 MB)
1 Importing the Libraries and Functions (42.8 MB)
2 Defining the class file name (41.47 MB)
3 Defining the number and color code of the objects (31.27 MB)
4 Pre Trained Models (76.28 MB)
5 Downloading the Pre trained model (88.22 MB)
6 Results after Downloading (17.14 MB)
7 Doubts during Downloading (77.61 MB)
1 Loading the Model (50.24 MB)
2 Testing the Image (10.65 MB)
3 Creating bounding box (57.42 MB)
4 Object Detection PART 1 (65.77 MB)
5 Object Detection PART 2 (58.77 MB)
6 Doubts during Detection (74.03 MB)
1 Visualising the data in Image (36.45 MB)
2 Detection of the object (115.58 MB)
3 Repeation of Object Detection in Image (112.02 MB)
4 Conclusion of SESSION 3 (76.49 MB)
1 Introduction (44.2 MB)
1 Recap of SESSION 3 Part 1 (34.91 MB)
2 Recap of SESSION 3 Part 2 (39.06 MB)
1 Importing the Video File in the Code (18.3 MB)
2 Reading the Video File (44.11 MB)
3 Executing the Code (14.8 MB)
4 Detailed Explanation of the Code (48.03 MB)
5 Comparing the Raw Video and the Result Video (33.22 MB)
6 Resolving Doubts for Object Detection on Video Data (53.64 MB)
7 Code Practice (16.42 MB)
1 Recalling Image Segmentation (15.19 MB)
2 Session Planning for Image Segmentation (22.79 MB)
3 Explanation of YOLO Model (38.38 MB)
4 Installing Ultralytics (23.91 MB)
5 Loading the YOLO Model into the Project (23.25 MB)
6 Solution to General Errors during Loading the YOLO Model (96.06 MB)
7 Prediction of the Image Data (37.89 MB)
1 What is Computer Vision (50.27 MB)
2 Applications of Computer Vision PART 1 (40.39 MB)
3 Applications of Computer Vision PART 2 (29.83 MB)
1 Explaination of Predict Function Part 1 (50.18 MB)
2 Explaination of Predict Function Part 2 (53.59 MB)
3 Explaination of Predict Function Part 3 (53.63 MB)
4 Masks in Predict Function (49.67 MB)
5 Getting the Labels from the Object (74.54 MB)
6 Detailed Explaination of the Getting the Labels Code (15.47 MB)
7 Summary of Session 4 (10.86 MB)
1 Introduction (20.33 MB)
1 Introduction to Pose Estimation (81.56 MB)
2 Introduction to Google MediaPipe (30.42 MB)
3 Objective of Session 5 (23.69 MB)
1 Installing MediaPipe and Importing Libraries (26.6 MB)
2 Taking Video Feed from Webcam (22.55 MB)
3 Detailed Explaination of Pose Detection Code (39.51 MB)
4 Executing the Code and Getting the Result Footage (14.52 MB)
5 Changing the Colour of the Keypoints and Connections (38.36 MB)
6 Explaination of Individual Variables (31.45 MB)
7 Pose Connection & Landmarks (22.54 MB)
1 Part 2 Finding Angles between Coordinates (62.54 MB)
2 Part 3 Making the Curl Counter (41.31 MB)
3 Summary of Session 5 (26.59 MB)
1 How Object Detection works (57.3 MB)
2 Challenges in Object Detection (64.47 MB)
1 How Object Recognition works (13.43 MB)
2 Challenges in Object Recognition (4.2 MB)
1 Object Segmentation (54.75 MB)
1 Installation opencv-python (50.23 MB)
2 Queries while installation (86.5 MB)
3 More Queries for Installation (85.19 MB)
4 Code formation for the project (67.08 MB)
5 Code Execution for Image Collection PART 1 (57.58 MB)
6 Code Execution for Image Collection PART 2 (61.68 MB)
7 Doubts during execution of code (175.15 MB)
1 Introduction (48.87 MB)
2 Doubts for Image Collection (123.69 MB)
3 Revision of SESSION 1 (48.91 MB)
1 Training Data and Testing Data PART 1 (91.73 MB)
2 Training Data and Testing Data PART2 (35.75 MB)
3 Basics PART 1 (55.89 MB)
4 Basics PART 2 and DOUBTS (59.53 MB)
5 Doubts about the basics (76.63 MB)
6 More Doubts about the basics (86.43 MB)
1 Creating a model object (17.54 MB)
2 Data Augmentation (57.67 MB)
3 Queries about Data Augmentation (18.81 MB)
4 Fit of the Model (55.03 MB)
5 Execution of code (54.75 MB)
6 Doubts during execution of code (30.06 MB)
2 Topics to be covered in this course (43.98 MB)
1 Loading the Libraries and Model (29.19 MB)
2 Continuation of the Face Recognition (70.8 MB)
3 Doubts about the Face Recognition (48.57 MB)
4 Execution of code for the Face Recognition (57.13 MB)
5 Brief of Today's Session (17 MB)
6 Doubts for SESSION 2 (57.94 MB)
1 Introduction (30.27 MB)
1 Object Detection (65.34 MB)
2 Doubts about Object Detection (40.69 MB)
1 Importing the Libraries and Functions (42.8 MB)
2 Defining the class file name (41.47 MB)
3 Defining the number and color code of the objects (31.27 MB)
4 Pre Trained Models (76.28 MB)
5 Downloading the Pre trained model (88.22 MB)
6 Results after Downloading (17.14 MB)
7 Doubts during Downloading (77.61 MB)
1 Loading the Model (50.24 MB)
2 Testing the Image (10.65 MB)
3 Creating bounding box (57.42 MB)
4 Object Detection PART 1 (65.77 MB)
5 Object Detection PART 2 (58.77 MB)
6 Doubts during Detection (74.03 MB)
1 Visualising the data in Image (36.45 MB)
2 Detection of the object (115.58 MB)
3 Repeation of Object Detection in Image (112.02 MB)
4 Conclusion of SESSION 3 (76.49 MB)
1 Introduction (44.2 MB)
1 Recap of SESSION 3 Part 1 (34.91 MB)
2 Recap of SESSION 3 Part 2 (39.06 MB)
1 Importing the Video File in the Code (18.3 MB)
2 Reading the Video File (44.11 MB)
3 Executing the Code (14.8 MB)
4 Detailed Explanation of the Code (48.03 MB)
5 Comparing the Raw Video and the Result Video (33.22 MB)
6 Resolving Doubts for Object Detection on Video Data (53.64 MB)
7 Code Practice (16.42 MB)
1 Recalling Image Segmentation (15.19 MB)
2 Session Planning for Image Segmentation (22.79 MB)
3 Explanation of YOLO Model (38.38 MB)
4 Installing Ultralytics (23.91 MB)
5 Loading the YOLO Model into the Project (23.25 MB)
6 Solution to General Errors during Loading the YOLO Model (96.06 MB)
7 Prediction of the Image Data (37.89 MB)
1 What is Computer Vision (50.27 MB)
2 Applications of Computer Vision PART 1 (40.39 MB)
3 Applications of Computer Vision PART 2 (29.83 MB)
1 Explaination of Predict Function Part 1 (50.18 MB)
2 Explaination of Predict Function Part 2 (53.59 MB)
3 Explaination of Predict Function Part 3 (53.63 MB)
4 Masks in Predict Function (49.67 MB)
5 Getting the Labels from the Object (74.54 MB)
6 Detailed Explaination of the Getting the Labels Code (15.47 MB)
7 Summary of Session 4 (10.86 MB)
1 Introduction (20.33 MB)
1 Introduction to Pose Estimation (81.56 MB)
2 Introduction to Google MediaPipe (30.42 MB)
3 Objective of Session 5 (23.69 MB)
1 Installing MediaPipe and Importing Libraries (26.6 MB)
2 Taking Video Feed from Webcam (22.55 MB)
3 Detailed Explaination of Pose Detection Code (39.51 MB)
4 Executing the Code and Getting the Result Footage (14.52 MB)
5 Changing the Colour of the Keypoints and Connections (38.36 MB)
6 Explaination of Individual Variables (31.45 MB)
7 Pose Connection & Landmarks (22.54 MB)
1 Part 2 Finding Angles between Coordinates (62.54 MB)
2 Part 3 Making the Curl Counter (41.31 MB)
3 Summary of Session 5 (26.59 MB)
1 How Object Detection works (57.3 MB)
2 Challenges in Object Detection (64.47 MB)
1 How Object Recognition works (13.43 MB)
2 Challenges in Object Recognition (4.2 MB)
1 Object Segmentation (54.75 MB)
1 Installation opencv-python (50.23 MB)
2 Queries while installation (86.5 MB)
3 More Queries for Installation (85.19 MB)
4 Code formation for the project (67.08 MB)
5 Code Execution for Image Collection PART 1 (57.58 MB)
6 Code Execution for Image Collection PART 2 (61.68 MB)
7 Doubts during execution of code (175.15 MB)
1 Introduction (48.87 MB)
2 Doubts for Image Collection (123.69 MB)
3 Revision of SESSION 1 (48.91 MB)
1 Training Data and Testing Data PART 1 (91.73 MB)
2 Training Data and Testing Data PART2 (35.75 MB)
3 Basics PART 1 (55.89 MB)
4 Basics PART 2 and DOUBTS (59.53 MB)
5 Doubts about the basics (76.63 MB)
6 More Doubts about the basics (86.43 MB)
1 Creating a model object (17.54 MB)
2 Data Augmentation (57.67 MB)
3 Queries about Data Augmentation (18.81 MB)
4 Fit of the Model (55.03 MB)
5 Execution of code (54.75 MB)
6 Doubts during execution of code (30.06 MB)
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