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)
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https://rapidgator.net/file/c71d6c4ded0ba7beb8317373ee8a976e/Udemy_Master_Computer_Vision_From_Basics_to_Advanced_Projects.part1.rar
https://rapidgator.net/file/f800b034b2c70041d6e128783d3cc7cf/Udemy_Master_Computer_Vision_From_Basics_to_Advanced_Projects.part2.rar
https://rapidgator.net/file/eec9de8e75a21fa8e6448ecc2643f900/Udemy_Master_Computer_Vision_From_Basics_to_Advanced_Projects.part3.rar

https://filestore.me/a9h9goe1qmw0/Udemy_Master_Computer_Vision_From_Basics_to_Advanced_Projects.part1.rar
https://filestore.me/1zod0xg6qz79/Udemy_Master_Computer_Vision_From_Basics_to_Advanced_Projects.part2.rar
https://filestore.me/ygeipsm3gjan/Udemy_Master_Computer_Vision_From_Basics_to_Advanced_Projects.part3.rar