import cv2
from matplotlib import pyplot as plt
import time, datetime
import os
import moviepy.video.io.ImageSequenceClip
import os
from moviepy.editor import *

from PIL import Image
from numpy import asarray
import pandas as pd

import plotly.express as px 
import numpy as np 

from PIL import Image 
import PIL 
import moviepy.video.io.ImageSequenceClip
import io

 
# Opens the Video file
***= cv2.VideoCapture('boyz.mp4')
**0
uu=[]
while(***.isOpened()):
    ret, frame = ***.read()
    if ret == False:
        break
    cv2.imwrite('cart'+str(i)+'.jpg',frame)
    uu.append('cart'+str(i)+'.jpg')
    i+=1
 
***.release()
cv2.destroyAllWindows()
print(uu)
print(len(uu))

yy=[]


#img = cv2.imread('D:/image-1.png', cv2.IMREAD_GRAYSCALE)



for gg in range (len(uu)):
	gg=str(gg)
	ff='cart'+str(gg)+ '.jpg'
	img = cv2.imread(ff,0)
	#print('Image Dimensions :', img.shape)
	#gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
	#edges = cv2.Canny(gray, threshold1=30, threshold2=100)

	edges = cv2.Canny(img,200,400)
	#cv2.cvtColor(edges,cv2.COLOR_GRAY2BGR)

	plt.subplot(122),plt.imshow(edges,cmap = 'plasma_r')
	imagex= Image.fromarray(edges)
	#yy.append(image2)
	#print(type(imagex))

	im1=imagex
	im1 = im1.save('new'+str(gg)+'.jpg') 

	#image2.show()
	yy.append('new'+str(gg)+'.jpg')



print(yy)






files=[]
 

xx=yy[10]

#clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(image_files, fps=fps)
#clip.write_videofile('firstout.mp4')

#video = cv2.VideoWriter(yy, 0, 1, (326, 270)) 
content = []
for name in files:
    f = open(r'C:\Users\John\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Python 3.8\movies')  
    content.append(f.readlines()[0])
    f.close()

print(content)


fps=24
images = content
#clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(images, fps=fps)
#clip.write_videofile('firstout.mp4')


image_folder = r'C:\Users\John\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Python 3.8\movies'
video_name = 'video.avi'

images = [img for img in os.listdir(image_folder) if img.endswith(".jpg")]
frame = cv2.imread(os.path.join(image_folder, images[0]))
height, width, layers = frame.shape

video = cv2.VideoWriter(video_name, 0, 24, (width,height))

for image in images:
    video.write(cv2.imread(os.path.join(image_folder, image)))

cv2.destroyAllWindows()
video.release()