Deep Learning for Object Detection with Python and PyTorch

سرفصل های دوره

Object Detection for Computer Vision using Deep Learning with PyTorch & Python. Train & Deploy Models (Detectron2, RCNN)

1. Introduction to Course

1. Introduction

2. Object Detection and How it Works

1. What is Object Detection and How it Works

3. Convolutional Neural Network (CNN)

1. Deep Convolutional Neural Network (VGG, ResNet, GoogleNet)

4. Deep Learning Architectures for Object Detection (R-CNN Family)

1. RCNN Deep Learning Architectures

2. Fast RCNN Deep Learning Architecture

3. Faster RCNN Deep Learning Architectures

4. Mask RCNN Deep Learning Architectures

5. Google Colab for Writing Python Code

1. Set-up Google Colab for Writing Python Code

2. Connect Google Colab with Google Drive to Read and Write Data

6. Detectron2 for Ojbect Detection

1. Detectron2 for Ojbect Detection with PyTorch

2. Perform Object Detection using Detectron2 Pretrained Models

3.1 object detection with detctron2.zip

3. Python and PyTorch Code.html

7. Custom Dataset for Object Detection

1. Custom Dataset for Object Detection

8. Training, Evaluating and Visualizing Object Detection on Custom Dataset

1. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset

2.1 object detection on custom dataset.zip

2. Python and PyTorch Code.html

9. Resources Code and Custom Dataset for Object Detection

1.1 balloon.zip

1.2 Python and PyTorch Code.zip

1. Resources Code and Custom Dataset for Object Detection.html

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تولید کننده: Udemy-Training