nbv_grasping/configs/local_inference_config.yaml
2024-10-09 16:13:22 +00:00

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# Train config file
settings:
general:
seed: 0
cuda_visible_devices: "0,1,2,3,4,5,6,7"
device: cuda
test_dir: ""
print: True
experiment:
name: test_inference
root_dir: "experiments"
model_path: "H:\\BaiduSyncdisk\\workspace\\ws_active_pose\\project\\ActivePerception\\experiments\\sample_train_one_scene_overfit_foreground_0_cached\\checkpoints\\Epoch_last.pth"
use_cache: True
small_batch_overfit: False
test:
batch_size: 96
dataset_list:
- name: synthetic_test_sample
source: nbv1
data_type: sample
synthetic: True
ratio: 1.0
batch_size: 96
num_workers: 8
results:
save_data_keys: ["target_name","src_rot_mat"]
save_output_keys: ["in_process_sample"]
pipeline: # module_type: name
pts_encoder: pointnet
view_finder: gradient_field
datasets:
general:
data_dir: "/mnt/d/Datasets"
score_limit: 0.3
target_pts_num: 1024
scene_pts_num: 16384
canonical: False
modules:
general:
pts_channels: 3
feature_dim: 1024
per_point_feature: False
pts_encoder:
pointnet:
pointnet++:
params_name: light
view_finder:
gradient_field:
pose_mode: rot_matrix
regression_head: Rx_Ry
sample_mode: ode
sample_repeat: 50
sampling_steps: 500
sde_mode: ve
rgb_encoder:
dinov2: