There are some popular features such as progress visualization, timer, video to frames/frames to videos.
-
Progress visualization
If you want to apply a method to a list of items and track the progress, track_progress
is a good choice. It will display a progress bar to tell the progress and ETA.
import cvbase as cvb
def func(item):
pass
tasks = [item_1, item_2, ..., item_n]
cvb.track_progress(func, tasks)
The output is like the following.
There is another method track_parallel_progress
, which wraps multiprocessing and
progress visualization.
import cvbase as cvb
def func(item):
pass
tasks = [item_1, item_2, ..., item_n]
cvb.track_parallel_progress(func, tasks, 8)
-
Timer
It is convinient to computer the runtime of a code block with Timer
.
import time
with cvb.Timer():
time.sleep(1)
Or try a more flexible way.
timer = cvb.Timer()
print(timer.since_start())
print(timer.since_last_check())
print(timer.since_start())
-
Video/Frames conversion
To split a video into frames.
video = cvb.VideoReader('video_file.mp4')
video.cvt2frames('frame_dir')
Besides cvt2frames
, VideoReader
wraps many other useful methods to operate a video like a list object, like
video = cvb.VideoReader('video_file.mp4')
len(video) # get total frame number
video[5] # get the 6th frame
for img in video: # iterate over all frames
print(img.shape)
To generate a video from frames, use the frames2video
method.
video = cvb.frames2video('frame_dir', 'out_video_file.avi', fps=30)
-
Video editing (needs ffmpeg)
To cut a video.
cvb.cut_video('input.mp4', 'output.mp4', start=3, end=10)
To join two video clips.
cvb.concat_video(['clip1.mp4', 'clip2.mp4'], 'output.mp4')
To resize a video.
cvb.resize_video('input.mp4', 'resized.mp4', (360, 240))
cvb.resize_video('input.mp4', 'resized.mp4', ratio=2)
To convert the format of a video.
cvb.convert_video('input.avi', 'output.mp4', vcodec='h264')