Hey, @Sushruth,
Here the code goes for Motion Detector.py
import cv2, time, pandas
from datetime import datetime
first_frame=None
status_list=[None,None]
times=[]
df=pandas.DataFrame(columns=["Start","End"])
video=cv2.VideoCapture(0)
while True:
check, frame = video.read()
status=0
gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
gray=cv2.GaussianBlur(gray,(21,21),0)
if first_frame is None:
first_frame=gray
continue
delta_frame=cv2.absdiff(first_frame,gray)
thresh_frame=cv2.threshold(delta_frame, 30, 255, cv2.THRESH_BINARY)[1]
thresh_frame=cv2.dilate(thresh_frame, None, iterations=2)
(_,cnts,_)=cv2.findContours(thresh_frame.copy(),cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for contour in cnts:
if cv2.contourArea(contour) < 10000:
continue
status=1
(x, y, w, h)=cv2.boundingRect(contour)
cv2.rectangle(frame, (x, y), (x+w, y+h), (0,255,0), 3)
status_list.append(status)
status_list=status_list[-2:]
if status_list[-1]==1 and status_list[-2]==0:
times.append(datetime.now())
if status_list[-1]==0 and status_list[-2]==1:
times.append(datetime.now())
cv2.imshow("Gray Frame",gray)
cv2.imshow("Delta Frame",delta_frame)
cv2.imshow("Threshold Frame",thresh_frame)
cv2.imshow("Color Frame",frame)
key=cv2.waitKey(1)
if key==ord('q'):
if status==1:
times.append(datetime.now())
break
print(status_list)
print(times)
for i in range(0,len(times),2):
df=df.append({"Start":times[i],"End":times[i+1]},ignore_index=True)
df.to_csv("Times.csv")
video.release()
cv2.destroyAllWindows
Code for Plotting.py
from motion_detector import df
from bokeh.plotting import figure, show, output_file
from bokeh.models import HoverTool, ColumnDataSource
df["Start_string"]=df["Start"].dt.strftime("%Y-%m-%d %H:%M:%S")
df["End_string"]=df["End"].dt.strftime("%Y-%m-%d %H:%M:%S")
cds=ColumnDataSource(df)
p=figure(x_axis_type='datetime',height=100, width=500, responsive=True,title="Motion Graph")
p.yaxis.minor_tick_line_color=None
p.ygrid[0].ticker.desired_num_ticks=1
hover=HoverTool(tooltips=[("Start","@Start_string"),("End","@End_string")])
p.add_tools(hover)
q=p.quad(left="Start",right="End",bottom=0,top=1,color="green",source=cds)
output_file("Graph1.html")
show(p)
Hope this helps!!