def see_det(name):
  files=glob.glob(name+/'*.mp4')
  for file in files:
    cap=cv2.VideoCapture(file)
    locs=open(file.replace('.mp4','.txt'),'r').readlines()
    cv2.namedWindow('frame', 0)
    cv2.resizeWindow('frame', 1200,750)
    cv2.moveWindow('frame',100,-10)
    for loc in locs:
      loc = loc.strip().split(' ')
      x1 = int(float(loc[1]))
      y1 = int(float(loc[2]))
      x2 = int(float(loc[3]))
      y2 = int(float(loc[4]))
      frameid=int(loc[0])
      cap.set(1,frameid)
      if cv2.waitKey(1) & 0xFF == ord('q'):
        break
      success,frame=cap.read()
      cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 255, 0), 2)
      cv2.imshow('frame',frame)
      cv2.waitKey(3)
    cap.release()

import pandas as pd
import cv2
import math
def see_track(name):
  files=glob.glob(name+/'*.mp4')
  for file in files:
    cap=cv2.VideoCapture(file)
    track=open(file.replace('.mp4','.txt'),'r')
    locs=pd.readtable(track,header=None,delimiter=',')
    points={}
    cv2.namedWindow('frame', 0)
    cv2.resizeWindow('frame', 1200,750)
    cv2.moveWindow('frame',100,-10)
    frames=int(max(locs[0]))
    for i in range(frames):
      cap.set(1,frameid)
      if cv2.waitKey(1) & 0xFF == ord('q'):
        break
      success,frame=cap.read()
      locsi=locs.loc[locs[0]==i]
      ids=[]
      for row_index,row in locsi.iterrows():
        x1=int(row[2])
        y1=int(row[3])
        x2=int(row[4])+x1
        y2=int(row[5])+y1
        x=(x1+x2)/2
        y=(y1+y2)/2
        fid=int(row[1])
        if fid not in ids:
            ids.append(fid)
        if fid not in points:
            points[fid]=[(x,y)]
        else:
            points[fid].append((x,y))
        
      for index,id in enumerate(ids):
        tmp=points[id][0]
        for point in points[id]:
            c=(255,255,0)
            frame=cv2.line(frame,tmp,point,c,2)
            tmp=point
    cv2.imshow('frame',frame)
    cv2.waitKey(3)