def setPoints(frame):
if path.exists('images/p1.png'):
os.remove('images/p1.png')
cv.imwrite('images/p1.png', frame)
with open('data/coordinates_1.yml', "w+") as points:
generator = CoordinatesGenerator('images/p1.png', points, COLOR_RED)
generator.generate()
def main():
logging.basicConfig(level=logging.INFO)
cap = cv2.VideoCapture("./videos/sample1.mp4")
ret, frame = cap.read()
#cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
#cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
cv2.imwrite('test111.jpg', frame)
start_frame = "4000"
image_file = "./images/parking_lot_1.png"
test_image = "test111.jpg"
data_file = "./data/coordinates_1.yml"
video_file = "./videos/sample1.mp4"
#video_url = "parking_lot_1.mp4"
video_url = "C:/Users/YHJ/PycharmProjects/parkingLot/DetectParking-develop/ParkingLot-master/parking_lot/videos/sample1.mp4"
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(test_image, points, COLOR_RED)
generator.generate()
with open(data_file, "r") as data:
points = yaml.load(data , Loader=yaml.FullLoader)
print(points)
detector = MotionDetector(video_file, points, int(start_frame))
detector.detect_motion()
print("sdfs")
def main():
logging.basicConfig(level=logging.INFO)
# args = parse_args()
image_file = "images/parking_lot_1.png" #args.image_file
data_file = "data/coordinates_1.yml" #args.data_file
start_frame = 0 #args.start_frame
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
storeCor = open("data\\pastCordinate.pickle", 'wb')
# source, destination
pickle.dump(generator.saveCordinate, storeCor)
storeCor.close()
print(generator.saveCordinate)
logging.info(generator.saveCordinate)
with open(data_file, "r") as data:
points = yaml.load(data)
# points = load(data, Loader=yaml.Loader)
# detector = MotionDetector(args.video_file, points, int(start_frame))
detector = MotionDetector("videos/parking_lot_1.mp4", points,
int(start_frame))
#pass the spot no which you want to spot
# in image the spotno are 1 index
spotNo = 0
detector.detect_motion(spotNo)
def main():
args = parse_args()
image_file = args.image_file
data_file = args.data_file
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
def main():
args = prase_args()
image = args.image
print("image is good")
with open('test.yaml', "w+") as file:
header = "---\n"
file.write(header)
genrator = CoordinatesGenerator(image, file, COLOR_RED)
genrator.generate()
def main():
print('main executed')
logging.basicConfig(level=logging.INFO)
image_file = "images/parking_lot_1.png"
data_file = "data/coordinates_1.yml"
start_frame = 400
video_file = "videos/parking_lot_1.mp4"
f = open("config.txt", "r")
arr = {}
for _ in range(0, 2):
result = f.readline()
arr[result.split(' : ')[0]] = result.split(' : ')[-1].split('\n')[0]
print(arr)
f.close()
url = arr['img_url']
img_resp_pic = requests.get(url)
img_arr_pic = np.array(bytearray(img_resp_pic.content), dtype=np.uint8)
img1_pic = cv2.imdecode(img_arr_pic, -1)
filename = 'savedImage.jpg'
cv2.imwrite(filename, img1_pic)
#cv2.imshow("AndroidCamPic",img1_pic)
#cv2.waitKey(0)==27
#cv2.destroyWindow("AndroidCamPic")
'''while True:
img_resp= requests.get(url)
img_arr= np.array(bytearray(img_resp.content),dtype=np.uint8)
img = cv2.imdecode(img_arr, -1)
cv2.imshow("AndroidCam",img)
if cv2.waitKey(1)==27:
break
cv2.destroyWindow("AndroidCamPic")'''
if filename is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(filename, points, COLOR_RED)
generator.generate()
with open(data_file, "r") as data:
'''try:
thread.start_new_thread( MotionDetector, ( ) )
thread.start_new_thread( alpr, ( ) )
except:
print("Error: unable to start thread")'''
points = yaml.load(data)
detector = MotionDetector(video_file, points, int(start_frame))
detector.detect_motion()
def main():
logging.basicConfig(level=logging.INFO)
args = parse_args()
image_file = args.image_file
data_file = args.data_file
start_frame = args.start_frame
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
while(1>0) :
capture_duration = 10
cap = cv2.VideoCapture(1)
start_time = time.time()
if(cap.isOpened()== False):
print("error")
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter('videos/output.mp4', -1, 20.0, (640,480))
while(int(time.time() - start_time) < capture_duration):
ret, frame = cap.read()
if ret == True:
out.write(frame)
cv2.imshow('Frame',frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
cap.release()
out.release()
cv2.destroyAllWindows()
with open(data_file, "r") as data:
points = yaml.load(data,Loader=yaml.FullLoader)
#CALL MotionDetector from motion_detector.py
detector = MotionDetector(args.video_file, points, int(start_frame))
detector.detect_motion()
def main():
logging.basicConfig(level=logging.INFO)
image_file = "images/parking_lot_1.png"
data_file = "data/coordinates_1.yml"
start_frame = 400
video_file = "videos/parking_lot_1.mp4"
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
with open(data_file, "r") as data:
points = yaml.load(data)
detector = MotionDetector(video_file, points, int(start_frame))
detector.detect_motion()
def read_name(name):
global video_name
video_name = name
file_list = glob.glob('videos/*.*')
for x in file_list:
f = x.lstrip('videos\\\\').rstrip('.mp4')
if f == video_name:
video_file = 'videos/' + video_name + '.mp4'
image_file = get_first_frame(video_name, video_file)
data_file = 'data/' + video_name + '.yml'
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points,
COLOR_RED)
generator.generate()
return 'success'
return ''
def main():
logging.basicConfig(level=logging.INFO)
args = parse_args()
image_file = args.image_file
data_file = args.data_file
start_frame = args.start_frame
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
with open(data_file, "r") as data:
points = yaml.safe_load(data)
detector = MotionDetector(args.video_file, points, int(start_frame))
detector.detect_motion()
def main():
logging.basicConfig(level=logging.INFO)
args = parse_args()
image_file = args.image_file
data_file = args.data_file
start_frame = args.start_frame
# If image file is provided, prompt user to generate rectangles
if image_file is not None:
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
# Read coordinates_1.yml in...
with open(data_file, "r") as data:
points = yaml.load(data)
detector = MotionDetector(args.video_file, points, int(start_frame))
detector.detect_motion()
def main():
logging.basicConfig(level=logging.INFO)
args = parse_args()
image_file = args.image_file
data_generate_file = args.data_generate_file
data_file = args.data_file
video_file = args.video_file
start_frame = args.start_frame
# generate coordinate based data map.
if image_file is not None and args.data_generate_file:
with open(data_generate_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points, COLOR_RED)
generator.generate()
# read from coordinate data map
if data_file is not None and video_file is not None:
with open(data_file, "r") as data:
#points = yaml.load(data)
points = yaml.safe_load(data)
detector = MotionDetector(video_file, points, int(start_frame))
detector.detect_motion()
def createyaml():
data_file = "data.yaml"
try:
File = open(data_file)
File.close
except FileNotFoundError:
File = open(data_file, 'w')
File.close
print("IOError")
cap = cv2.VideoCapture(VIDEO)
if cap.isOpened():
for i in range(30):
read_flag, img = cap.read()
cv2.imwrite("image.png", img)
cap.release()
image_file = "image.png"
with open(data_file, "w+") as points:
generator = CoordinatesGenerator(image_file, points,
colors.COLOR_RED)
generator.generate()
start.configure(state=NORMAL)
else:
print("Error. Video camera not connected")