update strong pointnet++
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@@ -137,7 +137,7 @@ class Inferencer(Runner):
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pred_cr_seq = [last_pred_cr]
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success = 0
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last_pts_num = PtsUtil.voxel_downsample_point_cloud(data["first_scanned_pts"][0], voxel_threshold).shape[0]
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import time
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#import time
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while len(pred_cr_seq) < max_iter and retry < max_retry and success < max_success:
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Log.green(f"iter: {len(pred_cr_seq)}, retry: {retry}/{max_retry}, success: {success}/{max_success}")
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combined_scanned_pts = np.vstack(scanned_view_pts)
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@@ -229,7 +229,6 @@ class Inferencer(Runner):
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Log.success(f"delta pts num < {self.min_new_pts_num}:, {pts_num}, {last_pts_num}")
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last_pts_num = pts_num
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break
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input_data["scanned_n_to_world_pose_9d"] = input_data["scanned_n_to_world_pose_9d"][0].cpu().numpy().tolist()
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