我正在学习和从事人脸识别大学项目。
face-recogition.py
from imutils.video import VideoStream
import face_recognition
import argparse
import imutils
import pickle
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-e", "--encodings", required=True,
help="path to serialized db of facial encodings")
ap.add_argument("-o", "--output", type=str,
help="path to output video")
ap.add_argument("-y", "--display", type=int, default=1,
help="whether or not to display output frame to screen")
ap.add_argument("-d", "--detection-method", type=str, default="cnn",
help="face detection model to use: either `hog` or `cnn`")
args = vars(ap.parse_args())
print("[INFO] loading encodings...")
data = pickle.loads(open(args["encodings"], "rb").read())
print("[INFO] starting video stream...")
vs = VideoStream(src=0).start()
writer = None
time.sleep(2.0)
while True:
frame = vs.read()
rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
rgb = imutils.resize(frame, width=260)
r = frame.shape[0] / float(rgb.shape[0])
boxes = face_recognition.face_locations(rgb,
model=args["detection_method"])
encodings = face_recognition.face_encodings(rgb, boxes)
names = []
for encoding in encodings:
matches = face_recognition.compare_faces(data["encodings"],
encoding)
name = "Unknown"
if True in matches:
matchedIdxs = [i for (i, b) in enumerate(matches) if b]
counts = {}
for i in matchedIdxs:
name = data["names"][i]
counts[name] = counts.get(name, 0) + 1
name = max(counts, key=counts.get)
names.append(name)
for ((top, right, bottom, left), name) in zip(boxes, names):
top = int(top * r)
right = int(right * r)
bottom = int(bottom * r)
left = int(left * r)
cv2.rectangle(frame, (left, top), (right, bottom),
(0, 255, 0), 2)
y = top - 15 if top - 15 > 15 else top + 15
cv2.putText(frame, name, (left, y), cv2.FONT_HERSHEY_SIMPLEX,
0.75, (0, 255, 0), 2)
if writer is None and args["output"] is not None:
fourcc = cv2.VideoWriter_fourcc(*"MJPG")
writer = cv2.VideoWriter(args["output"], fourcc, 20,
(frame.shape[1], frame.shape[0]), True)
if writer is not None:
writer.write(frame)
if args["display"] > 0:
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
cv2.destroyAllWindows()
vs.stop()
if writer is not None:
writer.release()
我可以使用带有此代码的USB cam来检测和识别人脸,但是现在
我想检测使用IP Cam而不是USB Cam。
我的CP PLUS IP CAM在192.168.1.181上运行,我想使用该凸轮检测和识别面部。
如何在此代码中使用该IP CAM?
最佳答案
在您的代码中只需更改一行,
vs = VideoStream(src="192.168.1.181/cam/realmonitorchannel=1&subtype=1&unicast=true&proto=Onvif").start()
让我知道它是否有效。