Picamera 无法使用 Raspberry Pi 进行人脸识别
The Picamera does not work in face recognition using Raspberry Pi
我是 python 和 R-Pi 的新手。所以看完 Adrian 的教程后,我想让面部识别工作。 (https://www.pyimagesearch.com/2018/06/11/how-to-build-a-custom-face-recognition-dataset/)
我的相机正常工作正常,但是按照上面的post,我的相机不工作。
这是我的源代码:
from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2
import os
ap = argparse.ArgumentParser()
ap.add_argument("-c", "--cascade", required=True,
help = "path to where the face cascade resides")
ap.add_argument("-o", "--output", required=True,
help="path to output directory")
args = vars(ap.parse_args())
detector = cv2.CascadeClassifier(args["cascade"])
print("[INFO] starting video stream...")
#vs = VideoStream(src=0).start()
vs = VideoStream(usePiCamera=True).start()
time.sleep(2.0)
total = 0
while True:
frame = vs.read()
orig = frame.copy()
frame = imutils.resize(frame, width=400)
rects = detector.detectMultiScale(
cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY), scaleFactor=1.1,
minNeighbors=5, minSize=(30, 30))
for (x, y, w, h) in rects:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("k"):
p = os.path.sep.join([args["output"], "{}.png".format(
str(total).zfill(5))])
cv2.imwrite(p, orig)
total += 1
elif key == ord("q"):
break
print("[INFO] {} face images stored".format(total))
print("[INFO] cleaning up...")
cv2.destroyAllWindows()
vs.stop()
当我运行这段代码时,
[INFO] starting video stream...
出现但相机没有出现Raspberry Pi;而且,当我面对镜头时,
[INFO] {} face images stored
[INFO] cleaning up...
出现。
你能试试这个吗
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
我是 python 和 R-Pi 的新手。所以看完 Adrian 的教程后,我想让面部识别工作。 (https://www.pyimagesearch.com/2018/06/11/how-to-build-a-custom-face-recognition-dataset/)
我的相机正常工作正常,但是按照上面的post,我的相机不工作。
这是我的源代码:
from imutils.video import VideoStream
import argparse
import imutils
import time
import cv2
import os
ap = argparse.ArgumentParser()
ap.add_argument("-c", "--cascade", required=True,
help = "path to where the face cascade resides")
ap.add_argument("-o", "--output", required=True,
help="path to output directory")
args = vars(ap.parse_args())
detector = cv2.CascadeClassifier(args["cascade"])
print("[INFO] starting video stream...")
#vs = VideoStream(src=0).start()
vs = VideoStream(usePiCamera=True).start()
time.sleep(2.0)
total = 0
while True:
frame = vs.read()
orig = frame.copy()
frame = imutils.resize(frame, width=400)
rects = detector.detectMultiScale(
cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY), scaleFactor=1.1,
minNeighbors=5, minSize=(30, 30))
for (x, y, w, h) in rects:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("k"):
p = os.path.sep.join([args["output"], "{}.png".format(
str(total).zfill(5))])
cv2.imwrite(p, orig)
total += 1
elif key == ord("q"):
break
print("[INFO] {} face images stored".format(total))
print("[INFO] cleaning up...")
cv2.destroyAllWindows()
vs.stop()
当我运行这段代码时,
[INFO] starting video stream...
出现但相机没有出现Raspberry Pi;而且,当我面对镜头时,
[INFO] {} face images stored
[INFO] cleaning up...
出现。
你能试试这个吗
import numpy as np
import cv2
cap = cv2.VideoCapture(0)
while(True):
# Capture frame-by-frame
ret, frame = cap.read()
# Our operations on the frame come here
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Display the resulting frame
cv2.imshow('frame',gray)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()