Pythonにおける出力結果（動画.avi）の保存方法

前提・実現したいこと

Pythonにおける出力結果（動画.avi）の保存方法について

発生している問題・エラーメッセージ

初心者ゆえにできないという状況です。
エラーメッセージ:なし

該当のソースコード

ソースコード
import cv2
import numpy as np
import os
import csv
import matplotlib.pyplot as plt

def mouse_event(event, x, y, flags, params):
    if event == cv2.EVENT_MOUSEMOVE:
        cv2.line(frame, (x, 0), (x, h-1), (255, 255, 255), 1)
        cv2.line(frame, (0, y), (w-1, y), (255, 255, 255), 1)
        cv2.imshow(name, frame)
    
    if event == cv2.EVENT_LBUTTONDOWN:
        position = (x, y)
        print(x, y)
        data.append([x, y])
        
    return x, y

def edge_left(center_px, w, thr_L):
    Edge_L = []
    for i in range(w-1, 0, -1):
        if center_px[i] > thr_L:
            Edge_L.append(i)
    return Edge_L

def edge_right(center_px, w, thr_R):
    Edge_R = []
    for i in range(w-1, 0, -1):
        if center_px[i] > thr_R:
            Edge_R.append(i)
    return Edge_R

def frm_show(frame, Edge_L, Edge_R, name):
    cv2.line(frame, (Edge_L[0], 0), (Edge_L[0], h-1), (255, 0, 0), 1)
    cv2.line(frame, (Edge_R[0], 0), (Edge_R[0], h-1), (0, 0, 255), 1)
    cv2.imshow(name, frame)
    return

movie = input("DRUG&DROP YOUR FiLE(AVI):")
movie = movie.lstrip("'").rstrip("'")
name = os.path.basename(movie)

t_sta = input("TYPE START TIME (s): ")
t_sta = int(t_sta)
t_fin = input("TYPE FINISH TIME (s): ")
t_fin = int(t_fin)
thr_L = int(238)
thr_R = input("temperature(℃): ")
thr_R = float(thr_R)*0.6036
thr_R = int(thr_R)

cap = cv2.VideoCapture(movie)
h   = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
w   = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
fps = round(cap.get(cv2.CAP_PROP_FPS))
cnt = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
cap.release()

data = []
cap = cv2.VideoCapture(movie)

while (cap.isOpened()):
    ret, frame = cap.read()
    cv2.namedWindow(name, cv2.WINDOW_NORMAL)
    cv2.imshow(name, frame)
    cv2.setMouseCallback(name, mouse_event)
    
    if cv2.waitKey(25)&0xFF == 13:
        break

cv2.destroyAllWindows()
        
y = data[1][1] - data[0][1]
dy = 20 / y#1ピクセルあたりの長さ
center_y = int(data[0][1] + y/2)#試料中心軸のy座標

frm_sta = t_sta * fps
frm_fin = t_fin * fps

frm    = []
left = []
right = []
for n in range(frm_sta, frm_fin,1):
    cap.set(cv2.CAP_PROP_POS_FRAMES, n)
    ret, frame = cap.read()
    frm_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)#BGR→RGB
    frm_gray = cv2.cvtColor(frm_rgb, cv2.COLOR_RGB2GRAY)#グレースケール化
    center_px = frm_gray[center_y, :] #試料中心の画素値の読取
    Edge_L = edge_left(center_px, w, thr_L)
    Edge_R = edge_right(center_px, w, thr_R)
    frm_show(frame, Edge_L,Edge_R,name)
    frm.append(n)
    left.append(Edge_L[0])#左の端のx座標
    right.append(Edge_R[0])#右の端のx座標
    
    if cv2.waitKey(1) & 0xFF == 27:
        print("ESCAPED")
        break
    
    if n >= frm_fin:
        print("FINISHED")
        break

cap.release()
cv2.destroyAllWindows()

frm = np.array(frm)
left = np.array(left)
right = np.array(right)

time = []
Length = []
time = (frm[:]-frm_sta)/fps
Left = left*dy
Right = right*dy
Length = Right - Left

output     = np.array([time, Left, Right, Length])
output     = output.T

func_l   = np.poly1d(np.polyfit(time, Left,1))
a_l, b_l = np.polyfit(time, Left, 1)
Left2 = []
Left2 = a_l*time[:]+b_l
func_r   = np.poly1d(np.polyfit(time, Right,1))
a_r, b_r = np.polyfit(time, Right, 1)
Right2 = []
Right2 = a_r*time[:]+b_r
ave_L = np.mean(Length)

f        = open(movie.rstrip(".avi") + "_FL.csv", "w")
f_writer = csv.writer(f, lineterminator = '\n')
f_writer.writerow(["Ave.PL (mm)", ave_L])
f_writer.writerow(["Time","Left","Right","Length"])
f_writer.writerow(["(sec)", "(mm)","(mm)","(mm)"])
f_writer.writerows(output)
f.close()

plt.rcParams["font.family"] = "Arial"
plt.rcParams["figure.figsize"] = [5,5]
plt.rcParams["xtick.direction"] = "in"
plt.rcParams["ytick.direction"] = "in"

fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.text(0.33,0.93,"Ave.PL="+str(round(ave_L,2))+"mm",
         fontsize=13,transform=ax1.transAxes)
plt.plot(time, Left, linestyle="None", marker="o", markeredgecolor="red",
         markerfacecolor="None", label="Flame Leading Edge", zorder=1)
plt.plot(time, Right, linestyle="None", marker="o", markeredgecolor="blue",
         markerfacecolor="None", label="Flame Leading Edge", zorder=1)
plt.plot(time, Left2, "black", linestyle="dashed", zorder = 1)
plt.plot(time, Right2, "black", linestyle="dashed", zorder = 1)
plt.xlabel("Time(s)",fontsize=15)
plt.ylabel("Position(mm)", fontsize=15)
plt.xticks(fontsize=13)
plt.yticks(fontsize=13)
plt.minorticks_on()
plt.tight_layout()
plt.savefig(movie.rstrip(".AVI")+"_PL.svg")
plt.show()