155 lines
5.1 KiB
Python
155 lines
5.1 KiB
Python
import os
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import subprocess
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import shutil
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import cv2
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import skimage
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def calculate_image_similarity(img_path1, img_path2):
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# 读取图片
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img1 = cv2.imread(img_path1, cv2.IMREAD_GRAYSCALE)
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img2 = cv2.imread(img_path2, cv2.IMREAD_GRAYSCALE)
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# 检查图片是否有效
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if img1 is None or img2 is None:
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raise ValueError("One of the images couldn't be loaded.")
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# 缩放图片到相同大小
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img2 = cv2.resize(img2, (img1.shape[1], img1.shape[0]))
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# 方法1: 直方图比较
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hist1 = cv2.calcHist([img1], [0], None, [256], [0, 256])
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hist2 = cv2.calcHist([img2], [0], None, [256], [0, 256])
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hist_similarity = cv2.compareHist(hist1, hist2, cv2.HISTCMP_CORREL)
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# 方法2: 结构相似性指数 (SSIM)
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ssim_similarity = skimage.metrics.structural_similarity(img1, img2)
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# 方法3: 特征点匹配 (使用ORB)
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orb = cv2.ORB_create()
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kp1, des1 = orb.detectAndCompute(img1, None)
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kp2, des2 = orb.detectAndCompute(img2, None)
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bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
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matches = bf.match(des1, des2)
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feature_similarity = len(matches) / float(min(len(des1), len(des2)))
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# 综合评分
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combined_score = (hist_similarity + ssim_similarity + feature_similarity) / 3.0
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return combined_score
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def getCutList(imagePath, threshold, min_frame, max_frame):
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pngList = os.listdir(imagePath)
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cutList = []
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indexList = []
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resList = []
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i = min_frame - 1
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num = 0
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while i < len(pngList) - 1:
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num += 1
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imgPath0 = os.path.join(imagePath, pngList[i])
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imgPath1 = os.path.join(imagePath, pngList[i + 1])
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similarity = calculate_image_similarity(imgPath0, imgPath1)
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print("切割画面（" + str(i + 1) + "/" + str(len(pngList) - 1))
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indexList.append(i)
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resList.append(similarity)
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if num >= max_frame:
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num = 0
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cutList.append(pngList[i])
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i += min_frame
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elif similarity < threshold:
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num = 0
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cutList.append(pngList[i])
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i += min_frame
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else:
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i += 1
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print(resList)
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return cutList
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def videoToPng(videopath, rate, save_name):
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current_file_path = __file__
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absolute_path = os.path.abspath(current_file_path)
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directory = os.path.dirname(absolute_path)
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all_cut_dir = os.path.join(directory, "VideoCutDir")
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if not os.path.exists(all_cut_dir):
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os.mkdir(all_cut_dir)
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root_dir = os.path.join(all_cut_dir, save_name)
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if os.path.exists(root_dir):
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shutil.rmtree(root_dir)
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os.mkdir(root_dir)
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ffmpegCMD = [
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'ffmpeg',
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'-i', videopath, # 输入视频路径
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'-vf', f'fps={rate}', # 设置帧率
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'-q:v', '2', # 设置输出质量
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os.path.join(root_dir, 'frame_%05d.png') # 输出文件名和格式
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]
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subprocess.run(ffmpegCMD)
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print("视频转图片完成")
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return root_dir
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def frames_to_video(input_folder, frame_rate, output_path):
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# Get a sorted list of (non-hidden) image files
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files = [f for f in sorted(os.listdir(input_folder)) if not f.startswith('.')]
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sorted_files = sorted(files, key=lambda x: os.path.splitext(x)[0])
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# Create a temporary file listing all images for ffmpeg
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temp_list_path = 'ffmpeg_temp_list.txt'
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with open(temp_list_path, 'w') as filelist:
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for filename in sorted_files[:-1]:
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file_path = os.path.join(input_folder, filename)
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filelist.write(f"file '{file_path}'\n")
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filelist.write(f"duration {1 / frame_rate}\n")
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# Write the last file without a duration
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filelist.write(f"file '{os.path.join(input_folder, sorted_files[-1])}'\n")
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# Construct the ffmpeg command to create the video
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command = [
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'ffmpeg',
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'-f', 'concat', # Use the concat demuxer
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'-safe', '0', # Allow unsafe file paths
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'-i', temp_list_path, # Input file list
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'-vsync', 'vfr', # Variable frame rate mode to match input sequence
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'-pix_fmt', 'yuv420p', # Pixel format, widely compatible
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'-c:v', 'libx264', # Codec to use for encoding
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'-crf', '23', # Constant Rate Factor, controls quality (lower is better)
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output_path
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]
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# Execute the command
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try:
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subprocess.run(command, check=True)
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print(f'Video has been created at {output_path}')
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except subprocess.CalledProcessError as e:
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print(f'An error occurred: {e}')
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finally:
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# Clean up temporary file
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if os.path.exists(temp_list_path):
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os.remove(temp_list_path)
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def cutToDir(root_dir, cutList):
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dirIndex = 0
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pngList = os.listdir(root_dir)
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dirList = []
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dirPathString = ""
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for i in range(len(cutList) + 1):
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dirName = str(i).zfill(3)
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dirPath = os.path.join(root_dir, dirName)
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os.mkdir(dirPath)
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dirPathString += (dirPath + '\n')
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dirList.append(dirName)
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for png in pngList:
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src = os.path.join(root_dir, png)
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tgtDir = os.path.join(root_dir, dirList[dirIndex])
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shutil.move(src, tgtDir)
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if png in cutList:
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dirIndex += 1
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return dirPathString
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