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Tensorflow Object Detection

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This course walks through setting up TensorFlow Object Detection on Windows, including CUDA, cuDNN, the Object Detection API, Protobuf, and COCO API installation. It then demonstrates custom object detection, image segmentation with PixelLib, and real-time processing of live video.

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

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