geo-deep-learning
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NRCan
Deep learning applied to georeferenced datasets
Thank you for submitting your **PR** and helping us with **GDL**. Please read the template below, fill it out as appropriate, and make additional changes to your code as needed....
**Is your feature request related to a problem? Please describe.** For inference and deployment of models in production, I would like to create serializable models. Such models allow us to...
Thank you for submitting your **PR** and helping us with **GDL**. Please read the template below, fill it out as appropriate, and make additional changes to your code as needed....
Thank you for submitting your **PR** and helping us with **GDL**. Please read the template below, fill it out as appropriate, and make additional changes to your code as needed....
**Describe the bug** When a class does not show up in a batch, the corresponding row in the confusing matrix becomes zero. As a result, division by zero happens and...
# Description it fixes an open issue, please link to the issue here. Fixes #562 ## Type of change What types of changes does your code introduce? Put an `x`...
**Is your feature request related to a problem? Please describe.** I would like to integrate [geo-inference python package](https://pypi.org/project/geo-inference/) which facilitates the use of self-contained portable models to complete extractions from...
**Describe the bug** The original min and max ranges are inferred from the array in this function. The correct case is to provide the range as parameters to avoid floating...
**Is your feature request related to a problem? Please describe.** I would like to refactor geo-deep-learning to be modular, composable and maintainable. **Describe the solution you'd like** geo-deep-learning will be...
This feature involves creating a dataset that supports extracting samples using a moving window approach on a whole image stored locally or remotely. The goal is to provide a straightforward...
