Python Forum

Hi,

i am new in python trying to index faces using Rekogniton API's and getting the following error:

Error:
DetectionAttributes=[ 'ALL' ]
  File "C:\Program Files\Python37\lib\site-packages\botocore\client.py", line 312, in _api_call
    "%s() only accepts keyword arguments." % py_operation_name)
TypeError: index_faces() only accepts keyword arguments.

here is the program:

import boto3  
import json

rek = boto3.client('rekognition') # Setup Rekognition  
s3 = boto3.resource('s3') # Setup S3  
print ("Getting Image")  

your_bucket = s3.Bucket('betaimagefolder1')

CollList = rek.list_collections()
print(CollList)

#response = rek.create_collection(CollectionId='TestYehuda')

for s3_file in your_bucket.objects.all():
   print(s3_file.key)
   image = s3.Object('betaimagefolder1',s3_file) # Get an Image from S3  
   #img_data = image.get()['Body'].read() # Read the image
   FaceRecord = rek.index_faces(
		image,
		CollectionId='TestYehuda',
	        ExternalImageId=None,
	        DetectionAttributes=[ 'ALL' ]
                )
   response1 = rekognition.search_faces_by_image(
	img_data,
        CollectionId='TestYehuda',
      	FaceMatchThreshold=threshold,
	)
   MatchRecord = response1['FaceMatches']

Thanks!!

Please, post full traceback, not just the last line. Don't forget the error tags (I have added them for you in the first post)

---

try

FaceRecord = rek.index_faces(
        Image=image,
        CollectionId='TestYehuda',
            ExternalImageId=None,
            DetectionAttributes=[ 'ALL' ]
                )

Thanks its help! now i know how i should pass arg..
in last 4 hours i struggling to fix the next error.
can someone assist ?

Error:
Traceback (most recent call last):
  File "C:\Users\yehudada\PythonCC\rekognition_Distinct_face_1.py", line 23, in <module>
    DetectionAttributes=['ALL'])
  File "C:\Program Files\Python37\lib\site-packages\botocore\client.py", line 314, in _api_call
    return self._make_api_call(operation_name, kwargs)
  File "C:\Program Files\Python37\lib\site-packages\botocore\client.py", line 586, in _make_api_call
    api_params, operation_model, context=request_context)
  File "C:\Program Files\Python37\lib\site-packages\botocore\client.py", line 621, in _convert_to_request_dict
    api_params, operation_model)
  File "C:\Program Files\Python37\lib\site-packages\botocore\validate.py", line 291, in serialize_to_request
    raise ParamValidationError(report=report.generate_report())
botocore.exceptions.ParamValidationError: Parameter validation failed:
Invalid type for parameter Image, value: s3.Object(bucket_name='betaimagefolder1', key=s3.ObjectSummary(bucket_name='betaimagefolder1', key='20[1].jpg')), type: <class 'boto3.resources.factory.s3.Object'>, valid types: <class 'dict'>
Invalid type for parameter ExternalImageId, value: None, type: <class 'NoneType'>, valid types: <class 'str'>

import boto3  
import json

rek = boto3.client('rekognition') # Setup Rekognition  
s3 = boto3.resource('s3') # Setup S3  
print ("Getting Image")  

your_bucket = s3.Bucket('betaimagefolder1')

CollList = rek.list_collections()
print(CollList)

#response = rek.create_collection(CollectionId='TestYehuda')

for s3_file in your_bucket.objects.all():
   print(s3_file.key)
   image= s3.Object('betaimagefolder1',s3_file) # Get an Image from S3  
   #img_data = image.get()['Body'].read() # Read the image
   FaceRecord = rek.index_faces(
                CollectionId='TestYehuda',
		Image=image,
		ExternalImageId=None,
	        DetectionAttributes=['ALL'])
   response1 = rekognition.search_faces_by_image(
	image=image,
        CollectionId='TestYehuda',
      	FaceMatchThreshold=threshold,
	)
   MatchRecord = response1['FaceMatches']
   face = MatchRecord['Face']
   print ("Matched Face ({}%)".format(MatchRecord['Similarity']))
   print ("  FaceId : {}".format(face['FaceId']))
   print ("  ImageId : {}".format(face['ExternalImageId']))
	

try

for s3_file in your_bucket.objects.all():
    image= {'S3Object':{'Bucket':bucket, 'Name':s3_file}}
    FaceRecord = rek.index_faces(CollectionId='TestYehuda', Image=image, DetectionAttributes=['ALL'])