Fix Numpy error in small python script

Completed Posted 3 years ago Paid on delivery
Completed Paid on delivery

The script uses OpenCV and Numpy to automatically crop an image.

I've tried fixing it but it's beyond my skills.

Error: [login to view URL]: axis 1 is out of bounds for array of dimension 0

Python3 on Windows.

Script attached

Python

Project ID: #27964805

About the project

9 proposals Remote project Active 3 years ago

Awarded to:

sefakemal

Hello, If you send the sample inputs I can debug program and resolve the issue. I suppose that it will not take more than 2 hours. Regards.

£15 GBP in 7 days
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1.4

9 freelancers are bidding on average £16 for this job

nddungha

Hi, I downloaded the python script and I am checking now. Could you award me the project and create the milestone? Thanks and regards, Ha Nguyen

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3.9
DSACorp

Hey, How you doing? I am a python developer. I have a lot of experience in using numpy, pandas, etc libraries of python. I can easily solve your issue. Let's discuss further details in chat. Thanks

£16 GBP in 1 day
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1.8
akshatgarg2608

Hi... Hope you are doing well. We are Professional, Trustworthy and Reliable and offer Quality Service. Let me know if you're interested & looking forward to any of these above services. Share your requirements with us More

£15 GBP in 2 days
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0.0
akcgc1210

work will be deleivered in 1 hour. Hi There, I checked your post with title "Fix Numpy error in small python script". I am familiar to python. I want to discuss your project in detail. Thanks and Regards Arun

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RohanJain16

Hi, I think i have the required skill sets to work on this code. As of now, I have developed various python tools using streamlit, pandas, numpy, opencv. Just give me a day, and I shall be able to solve your problem. T More

£10 GBP in 1 day
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0.0
muthana97

I’m a robotics engineer of a year’s experience and this task happens to be my expertise region, would be very glad to help. Thank you

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0.0
manimtechrs

As i am working on deep learning using python . so i have enough experience in numpy .i think i can help you to sort out ur issues.

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0.0