我需要在 GPU 中使用cupy而不是numpy. 所以，我只对这一行进行了注释，# import numpy as np并使用了这一行而不是它import cupy as np
完整代码：
from imutils.video import VideoStream
from imutils.video import FPS
# import numpy as np
import cupy as np
import argparse
import imutils
import time
import cv2
net = cv2.dnn.readNetFromCaffe('prototxt.txt', 'caffemodel')
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
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:
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 = rect_area
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
vs.release()
cv2.destroyAllWindows()
如何修复此错误以便使用 cupy。
/home/redhwan/learn1.py:26: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
confidence = detections[0, 0, i, 2]
/home/redhwan/learn1.py:27: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
object_type = int(detections[0, 0, i, 1])
/home/redhwan/learn1.py:29: VisibleDeprecationWarning: using a non-integer number instead of an integer will result in an error in the future
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h])
Traceback (most recent call last):
File "/home/redhwan/learn1.py", line 29, in <module>
box = detections[0, 0, i, 3:7] * np.array([w, h, w, h])
File "cupy/core/core.pyx", line 940, in cupy.core.core.ndarray.__mul__
File "cupy/core/_kernel.pyx", line 811, in cupy.core._kernel.ufunc.__call__
File "cupy/core/_kernel.pyx", line 89, in cupy.core._kernel._preprocess_args
TypeError: Unsupported type <type 'numpy.ndarray'>
数据在这里
请，您的想法或任何建议？