| dataset: | |
| urls: | |
| # USER: adapt this path the root of your custom dataset | |
| - "/path/to/data" | |
| pipeline_config: | |
| shardshuffle: 10000 | |
| sample_shuffle: 1000 # USER: you might wanna adapt depending on your available RAM | |
| decoders: | |
| - "pil" | |
| postprocessors: | |
| - target: sdata.mappers.TorchVisionImageTransforms | |
| params: | |
| key: 'jpg' # USER: you might wanna adapt this for your custom dataset | |
| transforms: | |
| - target: torchvision.transforms.Resize | |
| params: | |
| size: 256 | |
| interpolation: 3 | |
| - target: torchvision.transforms.ToTensor | |
| - target: sdata.mappers.Rescaler | |
| - target: sdata.mappers.AddOriginalImageSizeAsTupleAndCropToSquare | |
| params: | |
| h_key: height # USER: you might wanna adapt this for your custom dataset | |
| w_key: width # USER: you might wanna adapt this for your custom dataset | |
| loader: | |
| batch_size: 64 | |
| num_workers: 6 |