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About Deep-Learning Using Caffe Model
This document discusses loading a pre-trained Caffe model into Scilab and using it to perform object recognition on images. It imports necessary Python and Caffe libraries, loads a reference Caffe model along with labels and mean values. An input image is preprocessed by resizing, subtracting the mean, and transposing channels. The image is then fed into the model and a forward pass is run to obtain the prediction, which is displayed along with the original image and predicted label. Examples are shown of objects correctly identified.
Detailed Information
| Author: | ['pepitogrillo_1'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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