def detect_labels_local_file()

in TSA-demo/TSA_rekognition/detect_labels_image.py [0:0]

• 22 lines of code
• 5 McCabe index (conditional complexity)

def detect_labels_local_file(photo):

    fullreturnarray = []
    keyreturnarray = []
    tsaimage = []
   
    with open(photo, 'rb') as image:
        response = client.detect_labels(Image={'Bytes': image.read()})
        
    print('Detected labels in ' + photo)    
    for label in response['Labels']:
        print (label['Name'] + ' : ' + str(label['Confidence']))
        tsaimage =  get_tsaimage(label['Name'])
        if label['Confidence'] < 40:
            print('recognition confidence below 40')
            break

        if tsaimage:
         print("Get tsa image succeeded for " + label['Name'])
         partialCat = tsaimage[0]["id"]["S"]
         print(partialCat)
         
         exists = partialCat in keyreturnarray
         
         if exists == False :
          fullreturnarray.append(tsaimage[0])
          keyreturnarray.append(partialCat)
         

    return fullreturnarray