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debug new training

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hofee
2024-10-28 19:15:48 +00:00
parent a883a31968
commit 63a246c0c8
4 changed files with 31 additions and 23 deletions
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9
core/nbv_dataset.py
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@@ -34,7 +34,7 @@ class NBVReconstructionDataset(BaseDataset):
self.model_dir = config["model_dir"]
self.filter_degree = config["filter_degree"]
if self.type == namespace.Mode.TRAIN:
scale_ratio = 1
scale_ratio = 100
self.datalist = self.datalist*scale_ratio
if self.cache:
expr_root = ConfigManager.get("runner", "experiment", "root_dir")
@@ -122,7 +122,7 @@ class NBVReconstructionDataset(BaseDataset):
scanned_views_pts,
scanned_coverages_rate,
scanned_n_to_world_pose,
) = ([], [], [], [])
) = ([], [], [])
for view in scanned_views:
frame_idx = view[0]
coverage_rate = view[1]
@@ -164,7 +164,7 @@ class NBVReconstructionDataset(BaseDataset):
combined_scanned_views_pts, self.pts_num, require_idx=True
)
combined_scanned_views_pts_mask = np.zeros(len(scanned_views_pts), dtype=np.uint8)
combined_scanned_views_pts_mask = np.zeros(len(combined_scanned_views_pts), dtype=np.uint8)
start_idx = 0
for i in range(len(scanned_views_pts)):
@@ -174,9 +174,6 @@ class NBVReconstructionDataset(BaseDataset):
fps_downsampled_combined_scanned_pts_mask = combined_scanned_views_pts_mask[fps_idx]
data_item = {
"scanned_pts": np.asarray(scanned_views_pts, dtype=np.float32), # Ndarray(S x Nv x 3)
"scanned_pts_mask": np.asarray(fps_downsampled_combined_scanned_pts_mask,dtype=np.uint8), # Ndarray(N), range(0, S)