I tried to run the code in Jetson GPU but I can't?
this is my full code
from imutils.video import VideoStream
from imutils.video import FPS
import numpy as np
import argparse
import imutils
import time
import cv2
CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
"bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
"dog", "horse", "motorbike", "person", "pottedplant", "sheep",
"sofa", "train", "tvmonitor"]
COLORS = np.random.uniform(0, 255, size=(len(CLASSES), 3))
print("[INFO] loading model...")
net = cv2.dnn.readNetFromCaffe('prototxt.txt', 'caffemodel') # deep neural network ( dnn )
print("[INFO] starting video stream...")
vs = cv2.VideoCapture(0)
vs.release()
vs = cv2.VideoCapture(0)
time.sleep(2.0)
fps = FPS().start()
while True:
ret, frame = vs.read() # add ret,
frame = imutils.resize(frame, width=400)
(h, w) = frame.shape[:2]
blob = cv2.dnn.blobFromImage(cv2.resize(frame, (300, 300)),
0.007843, (300, 300), 127.5)
net.setInput(blob)
detections = net.forward()
big_area = 0
big_center = 320
detected = 0
# loop over the detections
for i in np.arange(0, detections.shape[2]):
confidence = detections[0, 0, i, 2]
object_type = int(detections[0, 0, i, 1])
if object_type == 15 and confidence > 0.2: # it was if confidence > args["confidence"]:
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h])
(startX, startY, endX, endY) = box.astype("int")
label = "{}: {:.2f}%".format('person', confidence * 100)
cv2.rectangle(frame, (startX, startY), (endX, endY), [0, 0, 255], 2)
y = startY - 15 if startY - 15 > 15 else startY + 15
cv2.putText(frame, label, (startX, y), cv2.FONT_HERSHEY_SIMPLEX, 0.5, [0, 0, 255], 2)
rect_area = (endX - startX) * (endY - startY)
detected = 1
if rect_area > big_area: # big_area and big_center are used so that the TurtleBot always tracks the closest person
big_area = rect_area
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
fps.update()
# stop the timer and display FPS information
fps.stop()
vs.release()
cv2.destroyAllWindows()