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Replaced all np.float with float to comply with NumPy deprecation. #21

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Replaced all np.float with float to comply with NumPy deprecation. #21

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0aa6adb
Replaced all `np.float` with `float` to comply with NumPy deprecation.
CiSong10 May 23, 2025
874e83e
Add .gitignore and remove python cache
CiSong10 May 24, 2025
fe955f9
Replace all `np.int` with `int` to comply with NumPy deprecation.
CiSong10 May 24, 2025
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4 changes: 4 additions & 0 deletions .gitignore
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@@ -0,0 +1,4 @@
__pycache__/
outputs/
wandb/
data_set1_5classes/
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
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4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR.py
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Expand Up @@ -335,8 +335,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density10.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density100.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density1000.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density25.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density50.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density500.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_density75.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_set15classes.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_set15classes_Surface.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_set15classes_curved.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_set15classes_nw8.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_set15classes_scatter.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_FOR_partseg_set15classes_treemix.py
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Expand Up @@ -334,8 +334,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_R8.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_V016.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_V018.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_V020.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_V025.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_V030.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/evaluation_stats_V040.py
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Expand Up @@ -215,8 +215,8 @@ def log_string(out_str):
################################################################
for i_sem in ins_classcount:
###### metrics for offset ######
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
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4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet.py
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Expand Up @@ -574,8 +574,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_Focalloss.py
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Expand Up @@ -609,8 +609,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_loss1.py
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Expand Up @@ -609,8 +609,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v2.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v3.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v4.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v5.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v6.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v7.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
4 changes: 2 additions & 2 deletions PointCloudSegmentation/main_scorenet_v8.py
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Expand Up @@ -569,8 +569,8 @@ def compute_eval(clusters, predicted_labels, instance_labels, y , batch, num_ins
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
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2 changes: 1 addition & 1 deletion PointCloudSegmentation/scripts/test_registration_scripts/descriptor_matcher.py
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Expand Up @@ -32,7 +32,7 @@ def read_gt_log(path):
else:
line = all_mat[i].split("\t")

mat[i % 5 - 1] = np.asarray(line[:4], dtype=np.float)
mat[i % 5 - 1] = np.asarray(line[:4], dtype=float)
list_mat.append(mat)
return list_pair, list_mat

Expand Down
2 changes: 1 addition & 1 deletion PointCloudSegmentation/scripts/test_registration_scripts/misc.py
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Expand Up @@ -19,6 +19,6 @@ def read_gt_log(path):
else:
line = all_mat[i].split("\t")

mat[i % 5 - 1] = np.asarray(line[:4], dtype=np.float)
mat[i % 5 - 1] = np.asarray(line[:4], dtype=float)
list_mat.append(mat)
return list_pair, list_mat
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12 changes: 6 additions & 6 deletions PointCloudSegmentation/torch_points3d/datasets/panoptic/npm3d.py
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Original file line number Diff line number Diff line change
Expand Up @@ -137,10 +137,10 @@ def log_string(out_str):
all_mean_cov = [[] for itmp in range(NUM_CLASSES)]
all_mean_weighted_cov = [[] for itmp in range(NUM_CLASSES)]

pred_ins_complete = np.asarray(pre_ins_offset).reshape(-1).astype(np.int)
pred_sem_complete = np.asarray(pre_sem).reshape(-1).astype(np.int)+1
gt_ins_complete = np.asarray(gt_ins).reshape(-1).astype(np.int)
gt_sem_complete = np.asarray(gt_sem).reshape(-1).astype(np.int)+1
pred_ins_complete = np.asarray(pre_ins_offset).reshape(-1).astype(int)
pred_sem_complete = np.asarray(pre_sem).reshape(-1).astype(int)+1
gt_ins_complete = np.asarray(gt_ins).reshape(-1).astype(int)
gt_sem_complete = np.asarray(gt_sem).reshape(-1).astype(int)+1

idxc = ((gt_sem_complete!=0) & (gt_sem_complete!=1) & (gt_sem_complete!=2) & (gt_sem_complete!=6)) | ((pred_sem_complete!=0) & (pred_sem_complete!=1) & (pred_sem_complete!=2) & (pred_sem_complete!=6))
pred_ins = pred_ins_complete[idxc]
Expand Down Expand Up @@ -319,8 +319,8 @@ def log_string(out_str):
###### metrics for offset ######
if not tpsins[i_sem] or not fpsins[i_sem]:
continue
tp = np.asarray(tpsins[i_sem]).astype(np.float)
fp = np.asarray(fpsins[i_sem]).astype(np.float)
tp = np.asarray(tpsins[i_sem]).astype(float)
fp = np.asarray(fpsins[i_sem]).astype(float)
tp = np.sum(tp)
fp = np.sum(fp)
# recall and precision
Expand Down
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