我们可以用 ER 图概述程序中的主要元素及其关系: IMAGEstringpathstringnameVIDEOstringoutput_pathintframe_rategenerates 序列图 下面的序列图展示了整个程序的执行流程: ImageOpenCVPythonScriptUserImageOpenCVPythonScriptUseralt[Images Exist]Start ConversionCreate VideoWriterLoad ImagesWrite Images to VideoRelease VideoWr...
importcv2importos# 输入和输出路径image_folder='path/to/image/folder'# 替换为你的图像文件夹路径video_name='output_video.avi'# 输出视频名称# 获取文件夹中的所有图像images=[imgforimginos.listdir(image_folder)ifimg.endswith(".png")orimg.endswith(".jpg")]images.sort()# 排序确保按顺序生成视频#...
Image.ANTIALIAS)# 计算裁剪框的位置left=(img.width-video_width)//2top=(img.height-video_height)//2right=left+video_widthbottom=top+video_height# 裁剪并返回最终图片img=img.crop((left,top,right,bottom))returnimgdefcreate_video_from_images(folder_path,out_put_file_name='output...
resize_name = resize_path +'resize_'+ image# cv2.imwrite(resize_name, pad_frame)# imwrite 不能读中文路径,unicode也不行cv2.imencode(os.path.splitext(image)[-1], pad_frame)[1].tofile(resize_name)# 写入视频vw.write(pad_frame) count +=1exceptExceptionasexc:print(image, exc) vw.release...
write(prompt) # 为当前视频生成帧 for frame_num in range(frames_per_video): # 根据当前帧数、形状和方向生成一个包含移动形状的图像 img = create_image_with_moving_shape(img_size, frame_num, shape, direction) # 将生成的图像保存为PNG格式的文件到视频目录下 cv2.imwrite(f'{video_dir}/frame_{...
write_images_sequence方法用于将剪辑输出到一系列文件中,调用语法如下: write_images_sequence(self, nameformat, fps=None, verbose=True,withmask=True, logger='bar') 参数说明如下: nameformat:输出格式和文件名规则,指定了文件系列序号的数字格式和图片类型扩展名的文件名,例如文件名的“frame%03d.png”表示文...
Functions to write multipage images and make videos from Numpy arrays. Also includes functions to test Matlab and Python OpenCV codecs. python -m pip install -e . HDF5_to_AVI.py converts HDF5 video data to AVI. Typically used in biomedical and science imaging, where they use HDF5 instead...
Hi, I am attempting to write my acquired frames straight to a video file. I followed the example in Issue #62. I was able to grab acquire and write 50 frames to disk as individual images. Function to write images: while True: # Get an el...
视频转图片图片 import cv2 cap = cv2.VideoCapture(video_path) # 获取到一个视频 images = list(...
write_images_sequence(self,nameformat,fps=None,verbose=True,withmask=True,logger='bar') 参数说明如下: nameformat:输出文件名的规则,使用 nameformat % i生成图片文件名,i表示迭代出来的第几帧(从零开始)。 fps:每秒输出帧数,如果没指定则按剪辑的fps进行输出 ...