Car Brand Detection v01 - Intel
CAR BRAND DETECTION PROTOTYPE USING INTEL? DISTRIBUTION OF OPENVINOTM TOOLKIT
IMPLEMENTATION GUIDE - VERSION 0.1 APRIL 2019
Car Brand Detection ? Implementation Guide
Document Release Note
Project: Car Brand Detection Proof of Concept (PoC) Setup document for DGCT
Author Sai Srujana, KotraX
Document Details
Version Number 0.1
Description
Car Brand Detection PoC Setup document for DGCT
Validated By Ramakrishna, MudavathiX
17-Apr-19
Date
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Car Brand Detection ? Implementation Guide
Contents
1. Introduction ............................................................................................................................................ 1 2. System Requirements............................................................................................................................ 2 3. Implementation ...................................................................................................................................... 3
3.1. Installing TensorFlow* ................................................................................................................... 3 3.1.1. Pre-requisites ........................................................................................................................ 3 3.1.2. Creating Virtual Environment ................................................................................................ 3 3.1.3. Installing Packages ............................................................................................................... 3 3.1.4. Verifying Installation .............................................................................................................. 3
3.2. Setting up TensorFlow* Object Detection API .............................................................................. 4 3.3. Downloading TensorFlow* Models................................................................................................ 4 3.4. Setting up Environment Variables................................................................................................. 4 3.5. Preprocessing Dataset .................................................................................................................. 4
3.5.1. Annotating Objects ................................................................................................................ 4 3.5.2. Converting XML to CSV Format............................................................................................ 5 3.5.3. Converting CSV Files to TensorFlow* Format ...................................................................... 6 3.6. Training the Model ........................................................................................................................ 7 3.6.1. Configuring the Model ........................................................................................................... 7 3.6.2. Creating Label File ................................................................................................................ 8 3.6.3. Training the Model................................................................................................................. 8 3.6.4. Freezing the Model ............................................................................................................... 8 3.7. Model Optimization ....................................................................................................................... 9 4. Testing ................................................................................................................................................. 10 5. Why TensorFlow*?............................................................................................................................... 12 6. Why TensorFlow* SSD_Inception_v2 model?..................................................................................... 13
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Car Brand Detection ? Implementation Guide
List of Abbreviations
Abbreviation API CNN CSV Faster-R-CNN FPGA IR ISV OpenVINO OpenCL OpenCV PoC XML
Expanded Form Application Program Interface Convolutional Neural Network Comma Separated Values Faster R Convolutional Neural Network Field Programmable Gate Array Intermediate Representation Independent Software Vendor Open Visual Inferencing and Neural Network Optimization Open Computing Language Open Computer Vision Proof of Concept Extensible Markup Language
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