Project #6 - Video Motion Tracking

For my 6th project I made a program that tracks motion through a video camera and writes to a graph of when there was motion.

Here is the code for the video motion tracking:

import cv2
import pandas
import time
from datetime import datetime


first_frame = Nonestatus_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), (255, 0, 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)

    print(gray)
    print(delta_frame)

    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()

Here is the code for generating the graph:

from motiontracker 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_color = Nonep.ygrid[0].ticker.desired_num_ticks = 1
hover = HoverTool(tooltips=[("Start", "@Start_string"), ("End", "@End_string")])

q = p.quad(left="Start", right="End", bottom=0, top=1, color="blue", source=cds)

output_file("Graph.html")
show(p)