I failed to compress the downsampled point cloud file with draco_encoder.

The specific situation is that I use your draco_encoder to compress point cloud file.The code is :
import numpy as np
import open3d as o3d
import os
import config
from typing import List
import subprocess
import pickle

import os
import subprocess

def compress_point_cloud(file_path, output_path):
try:
output_file_path = os.path.join(output_path, os.path.basename(file_path).replace(".ply", ".drc"))
command = ["D:/volumetric video/open 3d/draco/draco_encoder.exe", "-i", file_path, "-o", output_file_path]

process = subprocess.Popen(command, cwd="D:/volumetric video/open 3d/draco", stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
stdout, stderr = process.communicate()

if process.returncode == 0:
print(f"{file_path} 压缩完成，压缩文件保存在：{output_file_path}")
else:
if stderr:
error_msg = stderr.decode()
else:
error_msg = "未知错误"
print("压缩失败:", error_msg)

except FileNotFoundError as e:
print("文件未找到:", e)
except subprocess.CalledProcessError as e:
print("调用子进程错误:", e)
except OSError as e:
print("系统调用错误:", e)
except Exception as e:
print("压缩出现异常:", e)
if __name__ == "__main__":
patch_path = r"D:\volumetric video\open 3d\draco\1\longdress_vox10_1051.ply"
output_path = r"D:\volumetric video\open 3d\draco\2"
compress_point_cloud(patch_path, output_path)

"D:\volumetric video\open 3d\draco\1\longdress_vox10_1051.ply" is unprocessed files while i download in the net.But i use the
longdress_vox10_1051.ply to downsample by the code as :

import numpy as np
import open3d as o3d

def remove_outliers(pcd, nb_neighbors=20, std_ratio=2.0):
cl, ind = pcd.remove_statistical_outlier(nb_neighbors=nb_neighbors, std_ratio=std_ratio)
inlier_cloud = pcd.select_by_index(ind)
return inlier_cloud

def random_down_sample_with_outlier_removal(file_path, rate, nb_neighbors=20, std_ratio=2.0):
# 读取点云数据
pcd = o3d.io.read_point_cloud(file_path)

# 移除异常值
pcd_without_outliers = remove_outliers(pcd, nb_neighbors, std_ratio)

# 将点云数据转换为numpy数组
points = np.asarray(pcd_without_outliers.points).astype(np.float32) # 将坐标属性转换为float32类型
colors = np.asarray(pcd_without_outliers.colors).astype(np.float32) if len(pcd_without_outliers.colors) > 0 else None # 将颜色属性转换为float32类型

# 随机下采样
mask = np.random.choice([True, False], size=len(points), p=[rate, 1 - rate])
down_sampled_points = points[mask]
down_sampled_colors = colors[mask] if colors is not None else None

# 创建下采样后的点云
down_sampled_pcd = o3d.geometry.PointCloud()
down_sampled_pcd.points = o3d.utility.Vector3dVector(down_sampled_points)
if down_sampled_colors is not None:
down_sampled_pcd.colors = o3d.utility.Vector3dVector(down_sampled_colors)

return down_sampled_pcd

down_sampled_pcd = random_down_sample_with_outlier_removal(r"D:\volumetric video\open 3d\draco\1\longdress_vox10_1051.ply", 0.8, nb_neighbors=20, std_ratio=2.0)

o3d.io.write_point_cloud(r"D:\volumetric video\open 3d\draco\2\longdress_vox10_1051_0.8.ply", down_sampled_pcd, write_ascii=True)

I got the downsampled point cloud file longdress_vox10_1051_0.8.ply by the code. Then i want to longdress_vox10_1051_0.8.ply to compress.so i compress it by the code as:

import os
import subprocess

def compress_point_cloud(file_path, output_path):
try:
output_file_path = os.path.join(output_path, os.path.basename(file_path).replace(".ply", ".drc"))
command = ["D:/volumetric video/open 3d/draco/draco_encoder.exe", "-i", file_path, "-o", output_file_path]

process = subprocess.Popen(command, cwd="D:/volumetric video/open 3d/draco", stdout=subprocess.PIPE,
stderr=subprocess.PIPE)
stdout, stderr = process.communicate()

if process.returncode == 0:
print(f"{file_path} 压缩完成，压缩文件保存在：{output_file_path}")
else:
if stderr:
error_msg = stderr.decode()
else:
error_msg = "未知错误"
print("压缩失败:", error_msg)

except FileNotFoundError as e:
print("文件未找到:", e)
except subprocess.CalledProcessError as e:
print("调用子进程错误:", e)
except OSError as e:
print("系统调用错误:", e)
except Exception as e:
print("压缩出现异常:", e)

if __name__ == "__main__":
patch_path = r"D:\volumetric video\open 3d\draco\2\longdress_vox10_1051_0.8.ply"
output_path = r"D:\volumetric video\open 3d\draco\2"
compress_point_cloud(patch_path, output_path)
It failed. I did't change anything except the point cloud file i was compressing.I work when i compress the longdress_vox10_1051.ply,but when i compress the downsampled point cloud file longdress_vox10_1051_0.8.ply,it failed. An exception was thrown at run time:压缩失败: 未知错误(it mean Compression failure: unknown error)
I try many times .But it did't work.Can you tell me why?What causes compression failure when i compress the downsampled point cloud file?