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Posted (edited)

Based on the number of objects this version is detecting (80?) you could probably get better results writing a python wrapper to interface with an autoit script and use opencv dnn module to load tensorflow inception with a pretrained classifier that can detect 1000 different objects instead, it even gives you specific dog breeds. The speed is negligible in difference I'd assume.

Edited by Skitty

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13 minutes ago, bazanski said:

SkittyI don't need 1000 objects. I don't need 80 objects. I need one photoobject for this program to detect it in the photo.

... wat

that wasn't an answer to your question, but since we're here, the op had already provided you with a relevant link which will answer your previous question.

 

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