PictureCleanUp / default.yaml
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use original PyTorch model for inference
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indir: no # to be overriden in CLI
outdir: no # to be overriden in CLI
model:
path: no # to be overriden in CLI
checkpoint: best.ckpt
dataset:
kind: default
img_suffix: .png
pad_out_to_modulo: 8
device: cuda
out_key: inpainted
refine: False # refiner will only run if this is True
refiner:
gpu_ids: 0,1 # the GPU ids of the machine to use. If only single GPU, use: "0,"
modulo: ${dataset.pad_out_to_modulo}
n_iters: 15 # number of iterations of refinement for each scale
lr: 0.002 # learning rate
min_side: 512 # all sides of image on all scales should be >= min_side / sqrt(2)
max_scales: 3 # max number of downscaling scales for the image-mask pyramid
px_budget: 1800000 # pixels budget. Any image will be resized to satisfy height*width <= px_budget