Larger Data set about deep-learning HOT 6 CLOSED

import boto3
class AmazonAPI():
    def __init__(self, region='us-east-2'):
        self._api = boto3.client("rekognition", region)
        
    def classify_image(self, image_file):
        return self._api.detect_labels(Image={'Bytes': open(image_file, 'rb').read()})
    
    def detect_faces(self, image_file):
        return self._api.detect_faces(Image={'Bytes': open(image_file, 'rb').read()})
    
    def to_rects(self, json_res, img_size=None):
        assert(img_size), "You must provide img_size as (height, width)"
        assert(len(img_size) == 2), 'img_size must be (height, width)'
        
        height, width = img_size
        rects = []
        for details in json_res['FaceDetails']:
            rect = details['BoundingBox']
            rect_x, rect_y = int(rect['Left']*width), int(rect['Top']*height)
            rect_w, rect_h = int(rect['Width']*width), int(rect['Height']*height)
            rects.append(Rect(rect_x, rect_y, rect_w, rect_h))
        return rects

def parser_amazon(json_file):
    pose_dict = json_file['FaceDetails'][0]['Pose']
    return pose_dict['Roll'], pose_dict['Pitch'], pose_dict['Yaw']