C++和python剥离

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hesuicong committed 2025-11-05 11:50:07 +08:00
1 parent 020e3f0346
commit 2106969526
3 files changed
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@@ -14,6 +14,9 @@ import torch
import torch.nn.functional as F
from torch.utils.dlpack import to_dlpack, from_dlpack
import os
from typing import Dict, List, Set
class ModelProcessor:
def __init__(self):
@@ -455,6 +458,8 @@ class ModelProcessor:
print(f"所有图像处理完成,总耗时: {total_time:.2f}秒")
print(f"平均每张图像耗时: {total_time/len(images):.2f}秒")
self.save_occlusion_data(visible_faces_dict, edge_faces_dict, delete_edge_faces_dict, self.asset_dir)
return {
"result1": visible_faces_dict,
"result2": edge_faces_dict,
@@ -1183,8 +1188,82 @@ class ModelProcessor:
print(f"所有图像处理完成,总耗时: {total_time:.2f}秒")
print(f"平均每张图像耗时: {total_time/len(images):.2f}秒")
self.save_occlusion_data(visible_faces_dict, edge_faces_dict, delete_edge_faces_dict, self.asset_dir)
return {"result1": visible_faces_dict, "result2": edge_faces_dict, "result3": delete_edge_faces_dict}
def save_occlusion_data(self, result1: Dict[str, List[int]],
result2: Dict[str, List[int]],
result3: Dict[str, List[int]],
base_path: str) -> None:
"""
保存遮挡数据到文件
Args:
result1: 可见面字典,包含图像名称和对应的可见面列表
result2: 边面字典,包含图像名称和对应的边面列表
result3: 删除边面字典,包含图像名称和对应的删除边面列表
base_path: 基础文件路径
"""
print(f"save_occlusion_data {base_path}, {len(result1)}, {len(result2)}, {len(result3)}")
# 处理返回的可见面字典 - 转换为图像名到面编号集合的映射
visible_faces_map: Dict[str, Set[int]] = {}
for image_name, face_list in result1.items():
visible_faces_map[image_name] = set(face_list)
# 计算所有可见面的并集
face_visible_relative: Set[int] = set()
for face_set in visible_faces_map.values():
face_visible_relative.update(face_set)
# 处理边面字典
edge_faces_map: Dict[str, Set[int]] = {}
for image_name, face_list in result2.items():
edge_faces_map[image_name] = set(face_list)
# 处理删除边面字典
delete_edge_faces_map: Dict[str, Set[int]] = {}
for image_name, face_list in result3.items():
delete_edge_faces_map[image_name] = set(face_list)
# 保存 visible_faces_map
try:
with open(base_path + "_visible_faces_map.txt", "w", encoding='utf-8') as map_file:
for image_name, face_set in visible_faces_map.items():
# 写入图像名称和所有面ID,用空格分隔
line = image_name + " " + " ".join(str(face) for face in face_set) + "\n"
map_file.write(line)
except IOError as e:
print(f"Error writing visible_faces_map file: {e}")
# 保存 face_visible_relative
try:
with open(base_path + "_face_visible_relative.txt", "w", encoding='utf-8') as relative_file:
for face in face_visible_relative:
relative_file.write(str(face) + "\n")
except IOError as e:
print(f"Error writing face_visible_relative file: {e}")
# 保存 edge_faces_map
try:
with open(base_path + "_edge_faces_map.txt", "w", encoding='utf-8') as map_file2:
for image_name, face_set in edge_faces_map.items():
line = image_name + " " + " ".join(str(face) for face in face_set) + "\n"
map_file2.write(line)
except IOError as e:
print(f"Error writing edge_faces_map file: {e}")
# 保存 delete_edge_faces_map
try:
with open(base_path + "_delete_edge_faces_map.txt", "w", encoding='utf-8') as map_file3:
for image_name, face_set in delete_edge_faces_map.items():
line = image_name + " " + " ".join(str(face) for face in face_set) + "\n"
map_file3.write(line)
except IOError as e:
print(f"Error writing delete_edge_faces_map file: {e}")
def process(self):
print("process")