Imvideo

Imvideo helps you create time-lapse videos from camera-generated image folder and your matplotlib loop.

Install Imvideo

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To install this package, type pip install imvideo in command prompt.

C:\Users\user>pip install imvideo
Collecting imvideo
  Using cached imvideo-0.0.1-py3-none-any.whl (3.6 kB)
Installing collected packages: imvideo
Successfully installed imvideo-0.0.1

Function Details

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Class local: timelapse(title, fps, folder_path, inspect=True):

timelapse(title, fps, folder_path, inspect=True):
Function constructs time-lapse video from images in a folder.
        Inputs:     title   (string)     video title + .avi
                    fps     (double)     time-lapse video frames per second 
                    folder_path    (raw string)    location of the image folder
                    inspect    (boolean)       True (default)/False
        Output:
                    time-lapse video

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Class memory: savebuff(frame, container):

savebuff(frame, container):
Function saves image in in-memory location
         Inputs:    frame   (matplotlib image)  
                    container   (list)     empty image container
         Output:    container   (list)      image container with added frame location

construct(container, title, fps, inspect=True):

construct(container, title, fps, inspect=True):
Function constructs video from images in the container.
         Inputs:    container   (list)      image container with frame location
                    title   (string)     video title + .avi
                    fps     (double)     time-lapse video frames per second 
                    inspect    (boolean)       True (default)/False
         Output:
                    video

Use Imvideo

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1. Time-lapse video from a image folder:

import imvideo as imv

imv.local.timelapse('demo.avi', 5,  r".\tests\test_image"))

2. Time-lapse video from a matplotlib loop:

import imvideo as imv

def test_matplot_loop(n):
    ''' Input:      n   number of frames'''
    images = []     # empty image container
    plt.figure()    
    for i in range(n):
        plt.plot([np.random.randint(2), np.random.randint(2)])
        plt.title("test" + str(i))
        images = imv.memory.savebuff(plt, images)      # save image in in-memory location
        plt.close()
    
    imv.memory.construct(images, 'matplot_demo.avi', 5)        # construct video; 5 fps

    return 

test_matplot_loop(100)      # construct a demo video with 100 frames

Sample output