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argo_swinl.json
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argo_swinl.json
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{
"generic": {
"seed": 13
},
"training": {
"n_iters": 45000,
"batch_size": 4,
"lr": 0.0002,
"wd": 0.02,
"validation_interval": 500,
"nsteps_accumulation_gradient": 4,
"div_factor": 1,
"final_div_factor": 10,
"loss": {
"name": "SILog",
"weight": 10.0
}
},
"data": {
"crop": "eigen",
"train_dataset": "ArgoverseDataset",
"val_dataset": "ArgoverseDataset",
"data_root": "datasets",
"benchmark": false,
"augmentations": {
"horizontal_flip": 0.5,
"random_rotation": 2.5,
"random_scale": 0.05,
"random_translation": 0.1,
"random_brightness": 0.1,
"random_contrast": 0.1,
"random_saturation": 0.1,
"random_gamma": 0.1,
"random_hue": 0.1,
"random_sharpness": 0.1,
"random_posterize": 4,
"random_solarize": 0.2,
"rotation_p": 1,
"scale_p": 1,
"translation_p": 0,
"brightness_p": 1,
"contrast_p": 1,
"saturation_p": 1,
"gamma_p": 1,
"hue_p": 1,
"sharpness_p": 0,
"posterize_p": 0,
"solarize_p": 0,
"equalize_p": 0,
"autocontrast_p": 0,
"cutdepth_p": 0.0
}
},
"model": {
"num_heads": 1,
"attn_dec": true,
"activation": "gelu",
"expansion": 4,
"output_dim": 1,
"isd": {
"latent_dim": 128,
"num_resolutions": 3,
"depths": 2
},
"pixel_decoder": {
"heads": 4,
"depths": 6,
"hidden_dim": 256,
"anchor_points": 8
},
"pixel_encoder": {
"img_size": [
1920,
1080
],
"name": "swin_large_22k",
"lr_dedicated": 2e-05
},
"afp": {
"context_low_resolutions_skip": 1,
"depths": 2,
"latent_dim": 128,
"num_latents": 32
}
}
}