所以我遵循这个教程，但它似乎没有做任何事情。只是没有。它等待几秒钟并关闭程序。这段代码有什么问题?
import cv2
vidcap = cv2.VideoCapture('Compton.mp4')
success,image = vidcap.read()
count = 0
success = True
while success:
success,image = vidcap.read()
cv2.imwrite("frame%d.jpg" % count, image) # save frame as JPEG file
if cv2.waitKey(10) == 27: # exit if Escape is hit
break
count += 1
此外，在评论中它说这限制帧到1000?为什么?
编辑: 我试着先做success = True，但没有帮助。它只创建了一个0字节的图像。
当前回答
在对如何将帧转换为视频进行了大量研究后，我创建了这个函数，希望这能有所帮助。我们需要opencv来实现:
import cv2
import numpy as np
import os
def frames_to_video(inputpath,outputpath,fps):
image_array = []
files = [f for f in os.listdir(inputpath) if isfile(join(inputpath, f))]
files.sort(key = lambda x: int(x[5:-4]))
for i in range(len(files)):
img = cv2.imread(inputpath + files[i])
size = (img.shape[1],img.shape[0])
img = cv2.resize(img,size)
image_array.append(img)
fourcc = cv2.VideoWriter_fourcc('D', 'I', 'V', 'X')
out = cv2.VideoWriter(outputpath,fourcc, fps, size)
for i in range(len(image_array)):
out.write(image_array[i])
out.release()
inputpath = 'folder path'
outpath = 'video file path/video.mp4'
fps = 29
frames_to_video(inputpath,outpath,fps)
修改fps(帧/秒)的值，输入文件夹路径和输出文件夹路径根据您自己的本地位置
其他回答
我通过Anaconda的Spyder软件使用Python。使用@ gshock在这个线程的问题中列出的原始代码，代码不起作用(python不会读取mp4文件)。所以我下载了OpenCV 3.2，从bin文件夹中拷贝了“opencv_ffmpeg320.dll”和“opencv_ffmpeg320_64.dll”。我将这两个dll文件粘贴到Anaconda的“dll”文件夹。
蟒蛇也有一个“pckgs”文件夹…我复制并粘贴了整个“OpenCV 3.2”文件夹，我下载到Anaconda“pckgs”文件夹。
最后，Anaconda有一个“Library”文件夹，其中有一个“bin”子文件夹。我将“opencv_ffmpeg320.dll”和“opencv_ffmpeg320_64.dll”文件粘贴到该文件夹。
关闭并重新启动Spyder后，代码正常工作。我不确定这三种方法中哪一种有效，我也懒得回去研究。但它确实有效，干杯!
这是函数，它将大多数视频格式转换为视频中的帧数。它可以在Python3和OpenCV 3+上工作
import cv2
import time
import os
def video_to_frames(input_loc, output_loc):
"""Function to extract frames from input video file
and save them as separate frames in an output directory.
Args:
input_loc: Input video file.
output_loc: Output directory to save the frames.
Returns:
None
"""
try:
os.mkdir(output_loc)
except OSError:
pass
# Log the time
time_start = time.time()
# Start capturing the feed
cap = cv2.VideoCapture(input_loc)
# Find the number of frames
video_length = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) - 1
print ("Number of frames: ", video_length)
count = 0
print ("Converting video..\n")
# Start converting the video
while cap.isOpened():
# Extract the frame
ret, frame = cap.read()
if not ret:
continue
# Write the results back to output location.
cv2.imwrite(output_loc + "/%#05d.jpg" % (count+1), frame)
count = count + 1
# If there are no more frames left
if (count > (video_length-1)):
# Log the time again
time_end = time.time()
# Release the feed
cap.release()
# Print stats
print ("Done extracting frames.\n%d frames extracted" % count)
print ("It took %d seconds forconversion." % (time_end-time_start))
break
if __name__=="__main__":
input_loc = '/path/to/video/00009.MTS'
output_loc = '/path/to/output/frames/'
video_to_frames(input_loc, output_loc)
它支持。mts和普通文件，如。mp4和。avi。在.mts文件上尝试和测试。工作就像一个咒语。
下面的脚本将提取帧每半秒的所有视频在文件夹。(适用于python 3.7)
import cv2
import os
listing = os.listdir(r'D:/Images/AllVideos')
count=1
for vid in listing:
vid = r"D:/Images/AllVideos/"+vid
vidcap = cv2.VideoCapture(vid)
def getFrame(sec):
vidcap.set(cv2.CAP_PROP_POS_MSEC,sec*1000)
hasFrames,image = vidcap.read()
if hasFrames:
cv2.imwrite("D:/Images/Frames/image"+str(count)+".jpg", image) # Save frame as JPG file
return hasFrames
sec = 0
frameRate = 0.5 # Change this number to 1 for each 1 second
success = getFrame(sec)
while success:
count = count + 1
sec = sec + frameRate
sec = round(sec, 2)
success = getFrame(sec)
这段代码从视频中提取帧并以.jpg格式保存帧
import cv2
import numpy as np
import os
# set video file path of input video with name and extension
vid = cv2.VideoCapture('VideoPath')
if not os.path.exists('images'):
os.makedirs('images')
#for frame identity
index = 0
while(True):
# Extract images
ret, frame = vid.read()
# end of frames
if not ret:
break
# Saves images
name = './images/frame' + str(index) + '.jpg'
print ('Creating...' + name)
cv2.imwrite(name, frame)
# next frame
index += 1
在对如何将帧转换为视频进行了大量研究后，我创建了这个函数，希望这能有所帮助。我们需要opencv来实现:
import cv2
import numpy as np
import os
def frames_to_video(inputpath,outputpath,fps):
image_array = []
files = [f for f in os.listdir(inputpath) if isfile(join(inputpath, f))]
files.sort(key = lambda x: int(x[5:-4]))
for i in range(len(files)):
img = cv2.imread(inputpath + files[i])
size = (img.shape[1],img.shape[0])
img = cv2.resize(img,size)
image_array.append(img)
fourcc = cv2.VideoWriter_fourcc('D', 'I', 'V', 'X')
out = cv2.VideoWriter(outputpath,fourcc, fps, size)
for i in range(len(image_array)):
out.write(image_array[i])
out.release()
inputpath = 'folder path'
outpath = 'video file path/video.mp4'
fps = 29
frames_to_video(inputpath,outpath,fps)
修改fps(帧/秒)的值，输入文件夹路径和输出文件夹路径根据您自己的本地位置
