对于那些想知道我能够在 OpenCV 上获得良好流媒体的人:
首先,如果您有 pip,则需要下载 GoPro Python API:
pip install goprocam
if not
git clone https://github.com/konradit/gopro-py-api
cd gopro-py-api
python setup.py install
然后在 python 终端窗口中运行以下代码:
from goprocam import GoProCamera
from goprocam import constants
gopro = GoProCamera.GoPro()
gopro.stream("udp://127.0.0.1:10000")
这会将 UDP 流重新传输到本地主机,路径上需要 FFmpeg!
然后你可以使用 OpenCV 打开 localhost 流:
import cv2
import numpy as np
from goprocam import GoProCamera
from goprocam import constants
cascPath="/usr/share/opencv/haarcascades/haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
gpCam = GoProCamera.GoPro()
cap = cv2.VideoCapture("udp://127.0.0.1:10000")
while True:
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
cv2.imshow("GoPro OpenCV", frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
查看更多示例here https://github.com/KonradIT/gopro-py-api/tree/master/examples/opencv_gopro- 你甚至可以使用纯OpenCV 打开流 https://github.com/KonradIT/gopro-py-api/blob/master/examples/opencv_gopro/ffmpegless-preview.py虽然我不推荐它,因为这种方式非常滞后,但 ffmpeg > localhost > opencv 与仅与 opencv 相比非常稳定。