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GVision is a reverse image search app that use Google Cloud Vision API to detect landmarks and web entities from images, helping you gather valuable information quickly and easily.

License: The Unlicense

Python 100.00%
osint geoint geolocation google-cloud-vision imint

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gvision's Issues

can't open/read file

Hi there,

For some time now, I have always had the same message when I want to use the app locally: global loadsave.cpp:248 findDecoder imread_('image-name.jpg'): can't open/read file: check file path /integrity

I tried with several images and several formats (jpg, jpeg, png) but still the same error.

And in the web interface, I have another error which appears: "Error while loading config file: 'NoneType' object has no attribute 'shape' "

Where could this problem come from ?

Issue

Saw your tool and that you mentioned me on Google.

I woud like to try it out but I get an error

grafik

No License?

Hi, this looks awesome, Id love to fork and turn this into a library I can use with my osintbuddy project eventually but I see there's no license so I'm not able to decide if I can use this. Would you consider adding a license? (this is a nice resource: https://choosealicense.com/)

google.cloud is missing

Hello,
I try to install and test but when running
streamlit run gvision.py
I got this message :
mportError: cannot import name 'vision' from 'google.cloud' (unknown location)

On mac M1

Thanks

can't open/read file: check file path/integrity

[ WARN:[email protected]] global loadsave.cpp:248 cv::findDecoder imread_('b370fd35-f697-42e4-ba56-2b001ce90301.jpg'): can't open/read file:
check file path/integrity
[ WARN:[email protected]] global loadsave.cpp:248 cv::findDecoder imread_('IMG_6774.png'): can't open/read file: check file path/integrity
[ WARN:[email protected]] global loadsave.cpp:248 cv::findDecoder imread_('IMG_1031.jpg'): can't open/read file: check file path/integrity
[ WARN:[email protected]] global loadsave.cpp:248 cv::findDecoder imread_('IMG_6774.png'): can't open/read file: check file path/integrity

image

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