Udemy - Video Instance Segmentation With Python Using Deep Learning

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Video Instance Segmentation With Python Using Deep Learning

https://DevCourseWeb.com

Published 2/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.59 GB | Duration: 2h 18m

Video Instance Segmentation for Computer Vision with Python. Train, Test, Deploy Deep Learning Models YOLOv8, Mask RCNN

What you'll learn
Real-Time Video Instance Segmentation with Python and Pytorch using Deep Learning
Build, Train, & Test Deep Learning Models on Custom Data & Deploy to Your Own Projects
Introduction to YOLOv8 and its Deep Learning Architecture
Video Instance Segmentation using YOLOv8 with Python
Introduction to Mask RCNN and its Deep Learning Architecture
Instance Segmentation using Mask RCNN with Python
Configuration of Custom Vehicles Dataset with Annotations for Instance Segmentation
HyperParameters Settings for Training Instance Segmentation Models
Training Instance Segmentation YOLOv8 and Mask RCNN Models on Custom Datasets
Testing Instance Segmentation Trained Models on Videos and Images
Perform Car, Motorbike, and Truck Instance Segmentation
Deploy Trained Instance Segmentation Models

Requirements
A Google Gmail account is required to get started with Google Colab to write Python Code
Python Programming experience is an advantage but not required



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Udemy - Video Instance Segmentation With Python Using Deep Learning


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1.6 GB
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Udemy - Video Instance Segmentation With Python Using Deep Learning


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