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import io
import cv2
import numpy as np
# import nori2 as nori
import msgpack
from PIL import Image
from concern.config import Configurable, State
# class UnpackMsgpackData(Configurable):
# mode = State(default='BGR')
# def __init__(self, cmd={}, **kwargs):
# self.load_all(**kwargs)
# self.fetcher = nori.Fetcher()
# if 'mode' in cmd:
# self.mode = cmd['mode']
# def convert_obj(self, obj):
# if isinstance(obj, dict):
# ndata = {}
# for key, value in obj.items():
# nkey = key.decode()
# if nkey == 'img':
# img = Image.open(io.BytesIO(value))
# img = np.array(img.convert('RGB'))
# if self.mode == 'BGR':
# img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
# nvalue = img
# else:
# nvalue = self.convert_obj(value)
# ndata[nkey] = nvalue
# return ndata
# elif isinstance(obj, list):
# return [self.convert_obj(item) for item in obj]
# elif isinstance(obj, bytes):
# return obj.decode()
# else:
# return obj
# def convert(self, data):
# obj = msgpack.loads(data, max_str_len=2 ** 31)
# return self.convert_obj(obj)
# def __call__(self, data_id, meta=None):
# if meta is None:
# meta = {}
# item = self.convert(self.fetcher.get(data_id))
# item['data_id'] = data_id
# meta.update(item)
# return meta
class TransformMsgpackData(UnpackMsgpackData):
meta_loader = State(default=None)
def __init__(self, meta_loader=None, cmd={}, **kwargs):
super().__init__(cmd=cmd, meta_loader=meta_loader, **kwargs)
print('transform')
self.meta_loader = cmd.get('meta_loader', self.meta_loader)
def __call__(self, data_id, meta):
item = self.convert(self.fetcher.get(data_id))
image = item.pop('img').astype(np.float32)
if self.meta_loader is not None:
meta['extra'] = item
data = self.meta_loader.parse_meta(data_id, meta)
else:
data = meta
data.update(**item)
data.update(image=image, data_id=data_id)
return data
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