Lane Navigation System using Open-CV Python Raspberry Pi 4 & Tensorflow

$10-30 USD

Ukończony

Opublikowano

prawie 3 lata temu

$10-30 USD

Płatne przy odbiorze

I'm trying to run a model that I have trained on my raspberry pi using tensorflow but I couldn't run it due to errors as attached below. I have already installed the python3-tk package but it somehow failed to locate it. I am not sure whether it is due to my tensorflow version or my python version or something else. So basically I need help in troubleshooting the problem and help me run the program successfully.

Python

Software Architecture

Linux

OpenCV

Tensorflow

Identyfikator projektu: 30679867

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3 ofert

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Aktywny 3 lata temu

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Przyznano:

@ndigiid

Hello, I'm Neel Patel, I am very much interested in doing your project. I have read your project description. I have worked on Raspberry Pi. I have developed Virtual Assistant (like ALEXA, Google Assistant, Siri) for ITES using Raspberry Pi. Lets discuss more about the project. I have seen your error image and will able to do right now. Before Turning to Freelancer, I have worked as Research Intern on python project at Space Application Centre, ISRO which was based on "UNSUPERVISED SPECTRAL UNMIXING TOOL FOR HYPERSPECTRAL DATA ANALYSIS". My task was to implement all the hyper-spectral algorithms into python plugins and that python plugins will be added to QGIS software. I have also worked as Intern on "Customized Virtual Assistant for ITES using Raspberry Pi" at Institute For Plasma Research. I will help you to achieve the highest level of customer satisfaction. Thanks & Regards, Neel Patel

$30 USD w 7 dni

5,0

(4 opinii)

2,4

3 freelancerzy składają oferty o średniej wysokości $25 USD dla tej pracy

@csuresh5

Hi, I'm expertise in Python with excellent troubleshooting skills. I have 10+ years of experience. I did many projects likes yours troubleshooting issues. I have good potential to do this task. I already have a similar experience. I'm accepting your offer. Please let me know the details.

$25 USD w 1 dzień