pherrusa7/foodCAT

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Updated about 8 years ago

pherrusa7/foodCAT

pherrusa7

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A convolutional Neural Network which recognize food classes by pictures

Sentinel5P

Some scripts that help you downloading and processing satellite data from L2 to L3 products form Sentinel-5P mission: "perform atmospheric measurements with high spatio-temporal resolution, to be used for air quality, ozone & UV radiation, and climate monitoring & forecasting." Note that L2 products are processed measurements provided by ESA (https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) and L3 is the projection of these measurements into a common grid or raster (https://desktop.arcgis.com/en/arcmap/10.3/manage-data/raster-and-images/what-is-raster-data.htm)

Caffe-Utilities

Some caffe (http://caffe.berkeleyvision.org/) tricks and utilities to share

Weather4cast2021

Code accompanying our IARAI Weather4cast Challenge

Traffic4cast_NeurIPS_2019

Jupyter Notebook

Visual_Explanations_for_CNNs

I did research in all kind of visual explanations for CNNs since saliency maps and another techniques ending up with Grad-CAM, the newer, which I have implemented a general version that can be used for any model in keras.

Jupyter Notebook