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Tensorflow Object Detection with Python - Full Course with 3 Projects

Nicholas Renotte via YouTube

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Overview

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This beginner-oriented course teaches end-to-end deep learning object detection with Python and TensorFlow, including image collection and labeling, model training, evaluation, webcam inference, performance tuning, and deployment. Projects cover gesture detection, microscope-based defect detection, TensorFlow.js web integration, and TFLite deployment on a Raspberry Pi.

Syllabus

- Start
- SECTION 1: Installation and Setup
- Cloning the Baseline Code from GitHub
- Creating a Virtual Environment
- SECTION 2: Collecting Images and Labelling
- Collecting Images Using Your Webcam
- Labelling Images for Object Detection using LabelImg
- SECTION 3: Training Tensorflow Object Detection Models
- Tensorflow Model Zoo
- Installing Tensorflow Object Detection for Python
- Installing CUDA and cuDNN
- Using Tensorflow Model Zoo models
- Creating and Updating a Label Map
- Creating TF Records
- Training Tensorflow Object Detection Models for Python
- Evaluating OD Models Precision and Recall
- Evaluating OD Models using Tensorboard
- SECTION 4: Detecting Objects from Images and Webcams
- Detecting Objects in Images
- Detecting Objects in Real Time using a Webcam
- SECTION 5: Freezing TFOD and Converting to TFJS and TFLite
- Freezing the Tensorflow Graph
- Converting Object Detection Models to Tensorflow Js
- Converting Object Detection Models to TFLite
- SECTION 6: Performance Tuning to Improve Precision and Recall
- SECTION 7: Training Object Detection Models on Colab
- SECTION 8: Object Detection Projects with Python
- Project 1: Detecting Object Defects with a Microscope
- Project 2: Web Direction Detection using Tensorflow JS
- Project 3: Sentiment Detection on a Raspberry Pi Using TFLite

Taught by

Nicholas Renotte

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Tensorflow Object Detection with Python - Full Course with 3 Projects

  • Profile image for Ragi Shivanand
    Ragi Shivanand
    good to learn for computer vision projects for object detection with python using tensorflow .implementation is good
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