Learn to set up and implement Tensorflow Object Detection (TFOD) with Tensorflow 2.0 in Windows through this comprehensive tutorial. Begin by creating the environment and installing necessary components like CUDA Toolkit and cuDNN. Progress to installing the Tensorflow Object Detection API, Protobuf, and COCO API. Explore the TensorFlow 2 Detection Model Zoo for object detection tasks. Dive into custom object detection with a step-by-step guide. Discover image segmentation and object detection techniques using PixelLib, including real-time applications on live video streams. Master these essential skills in just 90 minutes to enhance your computer vision capabilities.
Overview
Syllabus
Step 1-Tensorflow Object Detection Set Up With Tensorflow 2.0 In Windows-Creating The Environment.
Step 2-TFOD Set Up With Tensorflow 2.0 In Windows-Installing Cuda Toolkit And CuDnn.
Step 3-TFOD Set Up With Tensorflow 2.0 In Windows-Installing Tensorflow Object Detection API.
Step 4-TFOD Set Up With Tensorflow 2.0 In Windows-Protobuf Installation And Compilation.
Step 5-Final TFOD Set Up With Tensorflow 2.0 In Windows- COCO API installation Object Detection API.
Step 6- TensorFlow 2 Detection Model Zoo- Object Detection.
TFOD 2.0 Custom Object Detection Step By Step Tutorial.
Image Segmentation And Object Detection Using 5 Lines Of Code Using PixelLib.
Real Time Image Segmentation And Object Detection From Live Video Stream Using PixelLib.
Taught by
Krish Naik
Related Courses
-
Advanced Computer Vision with TensorFlow
-
Object Localization with TensorFlow
-
Install Tensorflow Object Detection From Scratch in 5 Steps - Python Deep Learning
-
Tensorflow Object Detection with Python - Full Course with 3 Projects
5.0 -
TensorFlow Object Detection API
-
Real Time Face Mask Detection with Tensorflow and Python - Custom Object Detection with MobileNet SSD
