yoloserv/modules/Face-Detection-SSD-master/save.py
2024-01-22 10:12:33 -04:00

59 lines
1.4 KiB
Python

import cv2
import numpy as np
import os
from os.path import isfile, join
def sort_fun(list_data):
li_data = []
for i in list_data:
z = i.split(".")
li_data.append(int(z[0]))
# print(li_data)
sort_list = sorted(li_data)
# print(sort_list)
final_list = []
for i in range(len(list_data)):
final_list.append(list_data[li_data.index(sort_list[i])])
return final_list
def convert_frames_to_video(pathIn,pathOut,fps):
frame_array = []
files = [f for f in os.listdir(pathIn) if isfile(join(pathIn, f))]
files = sort_fun(files)
for i in range(len(files)):
filename=pathIn + files[i]
#reading each files
img = cv2.imread(filename)
height, width, layers = img.shape
print(img.shape)
size = (width,height)
# print(filename)
#inserting the frames into an image array
frame_array.append(img)
print("processed files", i)
# out = cv2.VideoWriter(pathOut,cv2.VideoWriter_fourcc(*'DIVX'), fps, size)
out = cv2.VideoWriter(pathOut,cv2.VideoWriter_fourcc(*'DIVX'), fps, size)
for i in range(len(frame_array)):
# writing to a image array
out.write(frame_array[i])
out.release()
return "success"
def save_video(pathIn, pathOut, fps):
convert_frames_to_video(pathIn, pathOut, fps)
pathIn = "15/"
pathOut = "video/15.avi"
fps = 32
save_video(pathIn, pathOut, fps)