在下面的脚本中,我正在试验OpenCV,并使用Haar Cascades计算到人脸检测到笔记本电脑网络摄像头的距离。我正在使用带有网络摄像头,Python 3.6和OpenCV 3.4的Windows 10笔记本电脑。
OpenCV.putext出现问题,无法在视频流的视图上显示此计算值…
text = "Inches{}".format(np.int(inches))
cv2.putText(gray, text, (roi[0] - 10, roi[1] - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
如果将其注释掉,代码将运行。任何有关我做错事情的提示都将不胜感激!
import numpy as np
import imutils
import cv2
from imutils.video import VideoStream
from imutils.video import FPS
import time
def distance_to_camera(knownWidth, focalLength, perWidth):
# compute and return the distance from the maker to the camera
return (knownWidth * focalLength) / perWidth
face_cascade = cv2.CascadeClassifier('C:/Users/Haar/frontalFace10/haarcascade_frontalface_alt.xml')
#Calculated from a different script
focalLength = 709.0909090909091
#average human head width
knownWidth = 7
# Initialize mutithreading the video stream.
camera = VideoStream(src=0).start()
# Allow the camera to warm up.
time.sleep(2.0)
#start FPS
fps = FPS().start()
roi = None
while True:
image = camera.read()
image = imutils.resize(image, width=500)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5);
for (x, y, w, h) in faces:
cv2.rectangle(gray,(x,y),(x+w,y+h),(255,255,255),2)
roi = gray[y:y+h, x:x+w]
if roi is None:
pass
else:
inches = distance_to_camera(knownWidth, focalLength, roi.shape[1])
print(inches)
text = "Inches{:.2f}".format(np.int(inches))
cv2.putText(gray, text, (roi[0] - 10, roi[1] - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
cv2.imshow("gray", gray)
key = cv2.waitKey(1) & 0xFF
fps.update()
# if the `q` key was pressed, break from the loop
if key == ord("q"):
break
fps.stop()
print("[INFO] elapsed time: {:.2f}".format(fps.elapsed()))
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))
camera.stop()
cv2.destroyAllWindows()
这是错误的完整回溯:
Traceback (most recent call last):
File "C:\Users\distance-to-camera\selectHaar3.py", line 53, in <module>
cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 255, 255), 2)
TypeError: only size-1 arrays can be converted to Python scalars
>>>
答案 0 :(得分:0)
package.json
和{
"dependencies": {
...
"react-crud-shared": "file:./react-crud-shared"
}
}
是数组。
我认为您正在尝试的方法是:
{
"functions": {
"ignore": []
}
}