Resource retrieval

Get the pre-trained net:

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Basic Usage

Obtain an estimate of the latitude and longitude of where a photo was taken:

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Show a map of the area corresponding to the position:

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Mark the position on a world map:

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Multiple Predictions

The net returns a probability distribution over all available locations. Obtain the 50 most probable locations for a given image and plot these locations on the world map, with the size of the location marker proportional to the probability:

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Fine Scale Predictions

In places with high population density, very fine-grained predictions are possible. Consider the following four landmarks in Paris:

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Predict the locations of the four landmarks and mark the locations on the map:

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Compare with the actual locations:

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Region Density

Inspect the distribution of the available positions. Display a heat map of the location density on the map:

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Net information

Inspect the number of parameters of all arrays in the net:

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Obtain the total number of parameters:

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Obtain the layer type counts:

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Display the summary graphic:

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Export to MXNet

Export the net into a format that can be opened in MXNet:

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Export also creates a net.params file containing parameters:

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Get the size of the parameter file:

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The size is similar to the byte count of the resource object:

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