尝试使用kairos上传文件时出错
问题描述:
Iam使用kairos api进行人脸识别.Iam试图注册图像。这里的documentation说它也接受base64编码的照片。因此,我使用base 64对图像进行了编码,以下错误尝试使用kairos上传文件时出错
{"Errors":[{"ErrCode":5000,"Message":"an invalid image was sent must be jpg or p
ng format"}]}
我已经使用了下面的Python代码发送请求
import cv2
import requests
import base64
import json
image=cv2.imread('Face-images/Subject 9.jpg')
encoded_string =base64.b64encode(image)
payload2= {"image":encoded_string ,"subject_id":"Abhishek","gallery_name":"MyGallery"}
headers={'Content-Type':'application/json','app_id':'app_id','app_key':'app_key'}
r = requests.post('https://api.kairos.com/enroll',headers=headers,data=json.dumps(payload2),verify=False)
print r.text
任何帮助,将不胜感激
答
不要编码你的照片。可能他们接受它,但它很难通过。检查此解决方案:
import requests
files = {"image": (filename,open(location+'/'+filename,"rb"))}
payload= {"subject_id":"Abhishek",
"gallery_name":"MyGallery"}
headers={'Content-Type':'application/json',
'app_id':'app_id',
'app_key':'app_key'}
response = requests.post('https://api.kairos.com/enroll',headers=headers,data=payload,files=files,verify=False)
print response.text
答
我找到了问题的答案。你可以尝试阅读不使用cv2的图像,而是作为简单的原始二进制文件。 cv2将它读入一个numpy数组,并且您正在编码一个numpy数组。阅读就像一个简单的文件适用于我,如下所示
with open ('messi.jpg','rb') as imgFh:
img = imgFh.read()
答
试试这个。
import cv2
import requests
import base64
import json
encoded_string = base64.b64encode(open("Face-images/Subject 9.jpg",
'r').read())
payload_dict = {
"image":encoded_string,
"subject_id": "Abhishek",
"gallery_name": "MyGallery"
}
payload = json.dumps(payload_dict)
headers={
'Content-Type':'application/json',
'app_id':'app_id',
'app_key':'app_key'
}
request = Request('https://api.kairos.com/enroll', data=payload,
headers=headers)
response_body = urlopen(request).read()
print(response_body)
尝试encoded_string = base64.b64encode(开放( '脸部图像/主题9.jpg', 'R')。读()) – Bemmu
现在其未示出的错误。但该图像是没有得到上传 –