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pcn_emd.yaml
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pcn_emd.yaml
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dataset:
name: PCN
category_file_path: /data1/xp/code/SPD/completion/category_files/ShapeNet.json
partial_points_path: /data/xp/data/PCN/%s/partial/%s/%s/%02d.pcd
complete_points_path: /data/xp/data/PCN/%s/complete/%s/%s.pcd
n_points: 2048
n_renderings: 8
model:
dim_feat: 512
up_factors: [1, 4, 8]
num_pc: 256
num_p0: 512
bounding: True
radius: 1.0
train:
optimizer: {
type: Adam,
kwargs: {
lr: 0.001,
weight_decay: 0,
betas: [.9, .999]
}}
scheduler: {
type: StepLR,
kwargs: {
decay_step: 50,
gamma: 0.5,
}}
seed: 2022
gpu: [0]
batch_size: 32
num_workers: 4
epochs: 400
loss_func: emd
save_freq: 25
out_path:
resume: False
model_path:
test:
split: test
gpu: [0]
batch_size: 1
num_workers: 1
loss_func: emd
model_path: /data1/xp/experiments/completion/pretrained/ckpt-best-pcn-emd.pth