File size: 876 Bytes
41f99fa 884f0af 41f99fa ead4cda 884f0af 41f99fa 884f0af 41f99fa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
from typing import Dict, List, Any
from transformers import pipeline
import transformers
from PIL import Image
import base64
from io import BytesIO
print('TRANSFORMERS VERSION')
print(transformers.__version__)
class EndpointHandler():
def __init__(self, path=""):
# load pipe
self.pipe = pipeline(task="depth-estimation", model=path)
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
base64_image = data.pop("inputs",data)
if base64_image is None:
raise ValueError("No image provided")
if base64_image.startswith('data:image/jpeg;base64,'):
base64_image = base64_image.replace('data:image/jpeg;base64,', '')
image_bytes = base64.b64decode(base64_image)
image = Image.open(BytesIO(image_bytes))
depth = self.pipe(image)["depth"]
return depth |