我使用opencv检测到面部后试图将图像上传到s3。 jpg文件已上传到s3,但我无法打开图像。
我能够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,但是我想在检测到脸部之后直接进行操作。知道怎么做吗?
# 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
答案 0 :(得分:0)
我相信image
对象不是JPEG编码的二进制表示形式。这是出于数学目的的NumPy对象
您应该检查Python OpenCV convert image to byte string?和
imencode
Encodes an image放入内存缓冲区。生成S3可以带走的物体
答案 1 :(得分:0)
pip安装枕头
from PIL import Image
from io import BytesIO
img = Image.fromarray(image)
out_img = BytesIO()
img.save(out_img, format='png')
out_img.seek(0)
s3.put_object(Bucket="Bucket Name", Key = imageName, Body = local_image, ContentType= 'image/png')
此代码对我有用,但是它使上传的图像略带蓝色阴影。因此,我决定先将图像保存到本地磁盘,然后再上传到S3
cv2.imwrite(imageName, image)
local_image = open('./'+imageName, 'rb')
s3.put_object(Bucket="Bucket Name", Key = imageName, Body = local_image, ContentType= 'image/png')
答案 2 :(得分:0)
替换此行:
s3.put_object(Bucket="surveillance-cam", Key = imageName, Body = bytes(image), ContentType= 'image/jpeg')
作者
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。