我目前正在尝试将图片制作成电影，但我找不到有用的东西。
这是我迄今为止的代码：
import time
from PIL import ImageGrab
x =0
while True:
try:
x+= 1
ImageGrab().grab().save('img{}.png'.format(str(x))
except:
movie = #Idontknow
for _ in range(x):
movie.save("img{}.png".format(str(_)))
movie.save()
您可以考虑使用外部工具，如ffmpeg将图像合并成视频（请参见答案此处），或者尝试使用OpenCv将图像组合成视频，例如此处示例。
我附上了一段代码片段，用于将名为“images”的文件夹中的所有png文件合并成视频。
import cv2
import os
image_folder = 'images'
video_name = 'video.avi'
images = [img for img in os.listdir(image_folder) if img.endswith(".png")]
frame = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = frame.shape
video = cv2.VideoWriter(video_name, 0, 1, (width,height))
for image in images:
video.write(cv2.imread(os.path.join(image_folder, image)))
cv2.destroyAllWindows()
video.release()
看起来这篇回答中最受关注的部分是使用VideoWriter。你可以在这篇回答的链接（静态）中查阅它的文档，或者自己稍微搜索一下。第一个参数是文件名，后面跟着一个整数（fourcc在文档中表示编解码器），FPS计数和帧的尺寸元组。如果你真的喜欢挖掘这罐虫子，这里是fourcc视频编解码器列表。
谢谢，但我找到了一种使用FFmpeg的替代方案：
def save():
os.system("ffmpeg -r 1 -i img%01d.png -vcodec mpeg4 -y movie.mp4")
但是感谢你的帮助 :)
这是一个使用moviepy的最简示例。对我来说，这是最容易的解决方案。
import os
import moviepy.video.io.ImageSequenceClip
image_folder='folder_with_images'
fps=1
image_files = [os.path.join(image_folder,img)
for img in os.listdir(image_folder)
if img.endswith(".png")]
clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(image_files, fps=fps)
clip.write_videofile('my_video.mp4')
image_files.append(path_to_images + 'image_folder/image_' + str(img_number) + '.png') - ConZZito我使用 ffmpeg-python 绑定。你可以在这里找到更多信息。
import ffmpeg
(
ffmpeg
.input('/path/to/jpegs/*.jpg', pattern_type='glob', framerate=25)
.output('movie.mp4')
.run()
)
@Wei Shan Lee（和其他人）：当然，我的整个代码看起来像这样
import os
import moviepy.video.io.ImageSequenceClip
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
image_files = []
for img_number in range(1,20):
image_files.append(path_to_images + 'image_folder/image_' + str(img_number) + '.png')
fps = 30
clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(image_files, fps=fps)
clip.write_videofile(path_to_videos + 'my_new_video.mp4')
有点hacky，但避免了创建文件，只让你实时观看它。
import glob
from PIL import Image
import cv2
import numpy as np
import time
####### PARAMS
imgs_path = "/Users/user/Desktop/lidar_rig/ouster_data_wide_angle_cam_v9/imgs/*"
cur_img_index = 0
ds_st_index = 0
ds_en_index = -1
fps = 35 # tweak this
###### PARAMS
def cnvt_pil_to_cv2(pil_img):
open_cv_image = np.array(pil_img)
# Convert RGB to BGR
open_cv_image = open_cv_image[:, :, ::-1].copy()
return open_cv_image
img_files = sorted(glob.glob(imgs_path), key = lambda x: int(x.split('/')[-1].split('.')[0]))[ds_st_index:ds_en_index][cur_img_index:]
cnt = 0
for img_pth in img_files:
if not cnt %50: ## DDD -- avoid mem overflow
cv2.destroyAllWindows()
img = Image.open(img_pth).resize((750,750))
cv2.imshow(img_pth.split("/")[-1], cnvt_pil_to_cv2(img))
time.sleep(float(1.0/float(fps)))
cnt+=1
import cv2
import typing
def write_video(video_path_out:str,
frames_sequence:typing.Tuple[np.ndarray,...]):
if ".mp4" in video_path_out: raise ValueError("[ERROR] This method does not support .mp4; try .avi instead")
height, width, _ = frames_sequence[0].shape
# 0 means no preprocesing
# 1 means each image will be played with 1 sec delay (1fps)
out = cv2.VideoWriter(video_path_out,0, 1,(width,height))
for frame in frames_sequence:
out.write(frame)
out.release()
# you can use as much images as you need, I just use 3 for this example
# put your img1_path,img2_path, img3_path
img1 = cv2.imread(img1_path)
img2 = cv2.imread(img2_path)
img3 = cv2.imread(img3_path)
# img1 can be cv2.imread out; which is a np.ndarray; you can also se PIL
# if you'd like to.
frames_sequence = [img1,img2,img3]
write_video(video_path_out = "mypath_outvideo.avi",
frames_sequence = frames_sequence
)
希望这很有用！
如果有人在排序加载的图像时遇到困难，以下是一个使用内置的sorted(os.listdir(image_folder))函数的版本，作为额外的贡献。
import os
import moviepy.video.io.ImageSequenceClip
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
image_folder='frames'
fps=10
image_files = [os.path.join(image_folder,img)
for img in sorted(os.listdir(image_folder))
if img.endswith(".png")]
print(image_files)
clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(image_files, fps=fps)
clip.write_videofile('myvideo.mp4')
sorted_alphanumeric(data)的函数来解决这个问题（来自另一个thread）。import os
import moviepy.video.io.ImageSequenceClip
from PIL import Image, ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
image_folder='frames'
fps=10
import re
def sorted_alphanumeric(data):
convert = lambda text: int(text) if text.isdigit() else text.lower()
alphanum_key = lambda key: [ convert(c) for c in re.split('([0-9]+)', key) ]
return sorted(data, key=alphanum_key)
image_files = [os.path.join(image_folder,img)
for img in sorted_alphanumeric(os.listdir(image_folder))
if img.endswith(".png")]
print(image_files)
clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(image_files, fps=fps)
clip.write_videofile('myvideo.mp4')
cv2.VideoWriter期望的尺寸顺序是宽度然后是高度，这与大多数其他cv2函数不同。 - pellucidcoder