Upload 3 files
Browse files- config.json +33 -0
- model.weights.h5 +3 -0
- train_config.yaml +69 -0
config.json
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{
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"module": "zea.models.unet",
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"class_name": "UNet",
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"config": {
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"name": "unet",
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"trainable": true,
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"dtype": {
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"module": "keras",
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"class_name": "DTypePolicy",
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"config": {
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"name": "float32"
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},
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"registered_name": null
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},
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"input_shape": [
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128,
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128,
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1
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],
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"input_range": [
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-1,
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1
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],
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"widths": [
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32,
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64,
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96,
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128
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],
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"block_depth": 2
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},
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"registered_name": "UNet"
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}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d46476bde2d716a48654f5385f417096ecee0f52856d1587b12da7f7db521ba
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size 23552560
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train_config.yaml
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seed: 42
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data:
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image_shape:
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- 128
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- 128
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- 1
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n_frames: 1
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dataset_repetitions: 1
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batch_size: 64
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train_folder: echonet/train
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val_folder: echonet/val
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num_img: null
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extension: hdf5
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hdf5_key: data/image
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image_range:
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- -60
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- 0
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normalization_range:
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- -1
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- 1
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resize_type: resize
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local: false
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shuffle: true
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usbmd_config: configs/usbmd/config_echonet.yaml
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overlapping_blocks: true
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augmentation:
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training:
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- random_flip:
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mode: horizontal
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validation: null
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evaluation:
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batch_size: 16
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model:
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name: unet
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widths:
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- 32
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- 64
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- 96
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- 128
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block_depth: 2
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run_eagerly: false
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image_shape:
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- 128
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- 128
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- 1
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image_range:
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- -1
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- 1
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optimization:
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num_epochs: 100
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ema: 0.999
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learning_rate: 0.0001
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weight_decay: 0.0001
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loss: mse
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steps_per_epoch: 2000
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device: gpu:0
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hide_devices: null
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corruption_operator:
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type: random_line_mask
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kwargs:
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mask_factor: 0.75
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line_width: 1
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image_shape:
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- 128
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- 128
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- 1
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remove_lines: false
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wandb: true
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