| ## Hello! You can perform inference with our Resnet model using the Resnet_inference.ipynb notebook located in this repo. | |
| Please open the notebook and navigate to the INPUTS tab, then follow the steps below in order to perform inference on your images. | |
| ## 1. Replace the latitude and longitude mean and std with your own. | |
| The latitude and longitude mean and std values are from our training data. | |
| ```python | |
| # Latitude and longitude mean and std loaded from training data | |
| lat_mean = 39.95173675925926 | |
| lat_std = 0.0006117096745964738 | |
| lon_mean = -75.19119498148149 | |
| lon_std = 0.0007743986248108865 | |
| ``` | |
| ## 2. Load your images for inference | |
| Your images will be stored as 'dataset_test' in the code. | |
| ```python | |
| dataset_test = load_dataset("{YOUR ORGANIZATION NAME}/{DATASET NAME}", split="test") | |
| ``` |