import os import numpy as np from PIL import Image from pptx import Presentation from pptx.util import Inches, Pt from pptx.enum.shapes import MSO_SHAPE from pptx.dml.color import RGBColor # 输入和输出路径 slerp_dir = "/hpc/group/chenglab/zl310/spring2025_projects/InterpStableDiffusion/results/interp_res_slerp" output_base_dir = "/hpc/group/chenglab/jf381/nips2025_paperfigure" # 创建输出目录 formats = { "full_size_rgb": {"size": None, "mode": "RGB"}, "32x32_rgb": {"size": (32, 32), "mode": "RGB"}, "full_size_gray": {"size": None, "mode": "L"}, "32x32_gray": {"size": (32, 32), "mode": "L"} } # 为每种格式创建目录 for format_name in formats: format_dir = os.path.join(output_base_dir, format_name) os.makedirs(format_dir, exist_ok=True) # 获取提示文件夹列表(已排序) prompt_folders = [f for f in os.listdir(slerp_dir) if f.startswith('prompt_') and os.path.isdir(os.path.join(slerp_dir, f))] prompt_folders.sort(key=lambda x: int(x.split('_')[-1]) if x.split('_')[-1].isdigit() else 0) # 取前20个提示文件夹 prompt_folders = prompt_folders[:20] # 创建临时目录存放处理后的图像 temp_dir = os.path.join(output_base_dir, "temp") os.makedirs(temp_dir, exist_ok=True) # 处理图像的函数 def process_image(img_path, format_spec): img = Image.open(img_path) # 转换为正确的模式 if format_spec["mode"] == "RGB": processed_img = img.convert('RGB') else: # 灰度 processed_img = img.convert('L') # 如需要调整大小 if format_spec["size"]: processed_img = processed_img.resize(format_spec["size"], Image.LANCZOS) return processed_img # 为每种格式创建PowerPoint演示文稿 for format_name, format_spec in formats.items(): print(f"\n处理 {format_name}...") # 创建10x10网格布局的演示文稿 prs_10x10 = Presentation() # 设置幻灯片大小为标准16:9格式 prs_10x10.slide_width = Inches(13.33) prs_10x10.slide_height = Inches(7.5) # 处理每个提示文件夹 for prompt_folder in prompt_folders: print(f" 处理 {prompt_folder}...") # 提示文件夹的完整路径 prompt_path = os.path.join(slerp_dir, prompt_folder) # 获取文件夹中的所有图像文件 image_files = [f for f in os.listdir(prompt_path) if f.startswith('noise_interp_img_') and f.endswith('.png')] image_files.sort(key=lambda x: int(x.split('_')[-1].split('.')[0])) # 选择100张均匀间隔的图像用于10x10网格 total_images = len(image_files) indices = np.linspace(0, total_images - 1, 100).astype(int) selected_images = [image_files[i] for i in indices] # 处理所有选定的图像 processed_image_paths = [] for idx, img_file in enumerate(selected_images): img_path = os.path.join(prompt_path, img_file) processed_img = process_image(img_path, format_spec) # 保存到临时目录 temp_path = os.path.join(temp_dir, f"{format_name}_{prompt_folder}_{idx}.png") processed_img.save(temp_path) processed_image_paths.append(temp_path) # 创建10x10网格幻灯片 slide_10x10 = prs_10x10.slides.add_slide(prs_10x10.slide_layouts[5]) # 标题和内容布局 slide_10x10.shapes.title.text = f"{prompt_folder} (10×10 紧凑网格)" # 使标题更小并将其上移 title_shape = slide_10x10.shapes.title title_shape.top = Inches(0.1) title_shape.height = Inches(0.4) title_shape.text_frame.paragraphs[0].font.size = Pt(18) # 计算10x10网格的尺寸 grid_width = prs_10x10.slide_width - Inches(0.5) # 留出最小边距 grid_height = prs_10x10.slide_height - Inches(0.6) # 考虑标题 cell_width_10x10 = grid_width / 10 cell_height_10x10 = grid_height / 10 # 添加图像到10x10网格,无间距 for idx, img_path in enumerate(processed_image_paths): row = idx // 10 col = idx % 10 left = Inches(0.25) + (cell_width_10x10 * col) top = Inches(0.55) + (cell_height_10x10 * row) # 从标题下方开始 # 计算图像尺寸 img = Image.open(img_path) img_aspect = img.width / img.height # 完全紧凑布局,无间距 width = cell_width_10x10 height = width / img_aspect # 如果高度超过单元格,则按高度约束 if height > cell_height_10x10: height = cell_height_10x10 width = height * img_aspect # 将图像添加到幻灯片 slide_10x10.shapes.add_picture(img_path, left, top, width=width, height=height) # 保存PowerPoint演示文稿 ppt_10x10_path = os.path.join(output_base_dir, format_name, f"paper_grid_10x10_compact.pptx") prs_10x10.save(ppt_10x10_path) print(f" 已保存{format_name}的10x10紧凑网格演示文稿") # 清理临时目录 for file in os.listdir(temp_dir): os.remove(os.path.join(temp_dir, file)) os.rmdir(temp_dir) print("\n完成!为每种格式创建了紧凑型10x10网格布局的PowerPoint演示文稿。")