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config.json
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97 lines (97 loc) · 2.33 KB
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{
"config": {
"data": {
"val_hard_samples_path": "",
"truncation_threshold": 0.1,
"data_augmentation": true,
"train_hard_samples_path": "",
"focused_blocks": 1,
"eval_batch_size": 64,
"batch_size": 256,
"additional_border": 7,
"additional_blocks": 0,
"train_path": "/home/max/workspace/SingleViewReconstruction/data/*/voxelgrid",
"val_path": "/home/max/workspace/SingleViewReconstruction/data/107*",
"model_save_path": "/home/max/workspace/SingleViewReconstruction/data/ae_model",
"block_size": 16,
"data_size": 512
},
"model": {
"decoder": {
"output": {
"padding": "same",
"kernel_size": 3
},
"conv": {
"default": {
"learned_pool_upsampling": true,
"upsampling_enabled": true,
"activation": "relu",
"padding": "same",
"pooling_enabled": false,
"batch_normalization": false,
"kernel_size": 3
},
"1": {
"channels": 64
},
"0": {
"channels": 128
},
"3": {
"channels": 16
},
"2": {
"channels": 32
},
"4": {
"channels": 64,
"upsampling_enabled": false
},
"total": 5
}
},
"encoder": {
"conv": {
"default": {
"learned_pool_upsampling": true,
"activation": "relu",
"padding": "same",
"pooling_enabled": true,
"batch_normalization": false,
"kernel_size": 3
},
"1": {
"channels": 32,
"padding": "valid"
},
"0": {
"channels": 16,
"padding": "valid"
},
"3": {
"channels": 128
},
"2": {
"channels": 64,
"padding": "valid"
},
"4": {
"channels": 64,
"activation": "linear",
"pooling_enabled": false
},
"total": 5
}
}
},
"optimizer": {
"loss": "weighted_L1",
"lr": 0.0003,
"batch_topk_loss": 0,
"topk_loss": 0
},
"checkpoint_interval": 0,
"save_interval": 100
}
}