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vision_bounding.py
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vision_bounding.py
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import datetime
import cv2
import pandas
from bokeh.plotting import figure, show, output_file
from bokeh.models import HoverTool, ColumnDataSource
first_frame = None
status_list = [None, None]
times = []
df = pandas.DataFrame(columns=["Start", "End"])
video = cv2.VideoCapture(0)
a = 1
while True:
a = a + 1
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)
th_delta = cv2.threshold(delta_frame, 60, 255, cv2.THRESH_BINARY)[1]
th_delta = cv2.dilate(th_delta, None, iterations=0)
(cnts, _) = cv2.findContours(th_delta.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.datetime.now())
if status_list[-1] == 0 and status_list[-2] == 1:
times.append(datetime.datetime.now())
cv2.imshow('Capturing', frame)
key = cv2.waitKey(1)
if key == ord('q'):
break
for i in range(0, len(times), 2):
df = df.append({"Start": times[i], "End": times[i+1]}, ignore_index=True)
df.to_csv("/home/abhinav/Times_"+datetime.datetime.now().strftime("%Y-%m-%d_%H%M%S")+".csv")
video.release()
cv2.destroyAllWindows()
# Code to Generate Graph using Bokeh
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, 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="red", source=cds)
output_file("Graph"+datetime.datetime.now().strftime("%Y-%m-%d_%H%M%S")+".html")
show(p)