Upload handler.py
Browse files- handler.py +42 -0
handler.py
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
from typing import Dict, List, Any
|
2 |
+
from gfpgan import GFPGANer
|
3 |
+
import cv2
|
4 |
+
from imageio import imread
|
5 |
+
from basicsr.utils import imwrite
|
6 |
+
import io
|
7 |
+
import os
|
8 |
+
import numpy as np
|
9 |
+
import base64
|
10 |
+
|
11 |
+
|
12 |
+
class EndpointHandler():
|
13 |
+
def __init__(self, path=""):
|
14 |
+
self.restorer = GFPGANer(
|
15 |
+
model_path="./GFPGANv1.4.pth",
|
16 |
+
upscale=2,
|
17 |
+
arch="clean",
|
18 |
+
channel_multiplier=2,
|
19 |
+
bg_upsampler=None)
|
20 |
+
|
21 |
+
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
|
22 |
+
"""
|
23 |
+
data args:
|
24 |
+
inputs (:obj: `str`)
|
25 |
+
date (:obj: `str`)
|
26 |
+
Return:
|
27 |
+
A :obj:`list` | `dict`: will be serialized and returned
|
28 |
+
"""
|
29 |
+
# get inputs
|
30 |
+
inputs = data.pop("inputs",data)
|
31 |
+
img = imread(io.BytesIO(base64.b64decode(inputs)))
|
32 |
+
cropped_faces, restored_faces, restored_img = self.restorer.enhance(
|
33 |
+
img,
|
34 |
+
has_aligned=False,
|
35 |
+
only_center_face=False,
|
36 |
+
paste_back=True,
|
37 |
+
weight=0.5)
|
38 |
+
|
39 |
+
for idx, (cropped_face, restored_face) in enumerate(zip(cropped_faces, restored_faces)):
|
40 |
+
retval, buffer = cv2.imencode('.png', restored_face)
|
41 |
+
jpg_as_text = base64.b64encode(buffer)
|
42 |
+
return jpg_as_text
|