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Bracu-Duburi-Interview-Task

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The repository contains code and other stuff for the task that was given to me during Bracu Duburi interview process.

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Name		Name	Last commit message	Last commit date
assets		assets
cocoapi		cocoapi
models		models
protoc		protoc
workspace		workspace
.gitignore		.gitignore
README.md		README.md
requirements.txt		requirements.txt

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Bracu-Duburi-Interview-Task

The repository contains code and other stuff for the task that was given to me during Bracu Duburi interview process.

Followed all the instructions that were given to me for the task.

Used custom dataset from kaggle
Labeled and cleaned the dataset using LabelImg
used SSD MobileNet Model, specifically SSD MobileNet v2 320x320

You can run my trained model locally on custom dataset by following the steps:

Clone the repo
Edit all the file paths according to your filesystem ( mainly test.py )
Use virtual enviroment to clone python enviroment in which all the scripts and stuff works using requirements.txt
Run test.py & have fun detecting bottles :)

Best part, seeing your model acutally do something, here you go:

About

The repository contains code and other stuff for the task that was given to me during Bracu Duburi interview process.

0 stars

1 watching

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