Commit 315d6044 authored by Hugo Sourice's avatar Hugo Sourice
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parent ec5137fc
# -*- coding: utf-8 -*-
Created on Thu May 27 08:33:26 2021
@author: vince
import cv2
import matplotlib.pyplot as plt
from tracker import *
from contours import *
from PIL import Image
import numpy as np
import sys
#modifiable parameters (it then remains to define the roi, line 31)
#create tracker object
tracker = EuclideanDistTracker()
cap= cv2.VideoCapture("videos\Beach1_5Hz.avi")
# object detection with a stable camera
object_detector = cv2.createBackgroundSubtractorMOG2(history=100,varThreshold=varThreshold) #the function cv2.createBackgroundSubtractorMOG2 puts in black what is fixed and in white what moves
# launch of the video (the video is broken down into images )
ret, frame =
if (cap.grab()==False):
#extraction of a part of the image
roi= frame[:,:] # roi to Region Of Interest
# Object detection
mask= object_detector.apply(roi)
# mask_1=object_detector.apply(frame)
_,mask = cv2.threshold(mask,254,255,cv2.THRESH_BINARY) #Avoid shadows to be considered as moving objects
contours, _ = cv2.findContours(mask, cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE ) #the ret_tree and chain.. functions define how the information is extracted, and this function allow to find contours of the moving objects
#Construction of rectangles around moving objects
for cnt in contours:
#calculate the area of the contours and remove the small elements
area= cv2.contourArea(cnt) # is the area of the contours
if area >contour_area:
x,y,w,h= cv2.boundingRect(cnt) #this fonction allow to obtain information to draw a rectangle enclosing a shape
cv2.rectangle(roi, (x,y), (x+w, y+h),(0,255,0),2)#constructs a rectangle on the roi, with the opposite corners specified by the parameter coordinates 2 and 3
detections.append([x,y,w,h]) # Detection contains the information on the rectangles at all times
#identification of tracked objects by id
boxes_ids= tracker.update(detections)#in boxes_ids there are the coordinates x , y , w and h + the corresponding id)
for box_id in boxes_ids:
x,y,w,h,id= box_id
cv2.putText(roi,str(id),(x,y-15), cv2.FONT_HERSHEY_PLAIN, 2, (255,0,0),2)#to add text, parameter 1: concerned area 2:text to write, 3:font, 4:size, 5:colour, 6:thickness)
#display of 3 windows, the original video,the Roi, and the Roi processed to display moving objects
# cv2.imshow("mask_1",mask_1)
cv2.waitKey( 0) #waitKey let some times between each frames,to see the video frame by frame, just write cv2.waitkey(0), and to pass from a frame to another press any key
cap.release() #close the video file
\ No newline at end of file
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