我正在尝试使用 opencv 检测到人脸后将图像上传到 s3。 jpg 文件已上传到 s3,但我无法打开图像。
我可以通过先将图像保存到本地磁盘然后将其上传到 s3 来正确上传,但我想在检测到人脸后直接进行。知道如何实现吗?
# import the necessary packages
# capture frames from the camera
for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
# grab the raw NumPy array representing the image, then initialize the timestamp
# and occupied/unoccupied text
image = frame.array
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(
gray,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE
)
# Draw a rectangle around the faces
for (x, y, w, h) in faces:
cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
# cv2.imwrite('newobama.png', image)
if len(faces):
imageName = str(time.strftime("%Y_%m_%d_%H_%M")) + '.jpg'
#This is not working
s3.put_object(Bucket="surveillance-cam", Key = imageName, Body = bytes(image), ContentType= 'image/jpeg')
# show the frame
cv2.imshow("Frame", image)
key = cv2.waitKey(1) & 0xFF
# clear the stream in preparation for the next frame
rawCapture.truncate(0)
# if the `q` key was pressed, break from the loop
if key == ord("q"):
break
最佳答案
替换这一行:
s3.put_object(Bucket="surveillance-cam", Key = imageName, Body = bytes(image), ContentType= 'image/jpeg')
通过
image_string = cv2.imencode('.jpg', image)[1].tostring()
s3.put_object(Bucket="surveillance-cam", Key = imageName, Body=image_string)
它应该可以工作。
关于python - 将图像从 opencv 上传到 s3 存储桶,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55583861/