Alex Gonzalez commited on
Commit
527bb0a
·
1 Parent(s): 72fe867

Remove Facial Extration

Browse files
Files changed (2) hide show
  1. app.py +1 -13
  2. requirements.txt +0 -1
app.py CHANGED
@@ -3,26 +3,14 @@ from fastai.vision.all import *
3
  from transformers import AutoImageProcessor, AutoModelForImageClassification
4
  from PIL import Image
5
  import requests
6
- import face_recognition
7
 
8
  learn_inf = load_learner("export.pkl")
9
  processor = AutoImageProcessor.from_pretrained("dima806/facial_emotions_image_detection")
10
  model = AutoModelForImageClassification.from_pretrained("dima806/facial_emotions_image_detection")
11
 
12
- def extract_face(image)-> Image.Image:
13
- # Detect face locations
14
- face_locations = face_recognition.face_locations(image)
15
-
16
- # If a face is detected, extract the first one
17
- if face_locations:
18
- top, right, bottom, left = face_locations[0]
19
- face_image = Image.fromarray(image[top:bottom, left:right])
20
- return face_image
21
- else:
22
- return image
23
 
24
  def predict(value) -> str:
25
- image = extract_face(Image.fromarray(value)).convert("L")
26
  inputs = processor(images=image, return_tensors="pt")
27
  outputs = model(**inputs)
28
  logits = outputs.logits
 
3
  from transformers import AutoImageProcessor, AutoModelForImageClassification
4
  from PIL import Image
5
  import requests
 
6
 
7
  learn_inf = load_learner("export.pkl")
8
  processor = AutoImageProcessor.from_pretrained("dima806/facial_emotions_image_detection")
9
  model = AutoModelForImageClassification.from_pretrained("dima806/facial_emotions_image_detection")
10
 
 
 
 
 
 
 
 
 
 
 
 
11
 
12
  def predict(value) -> str:
13
+ image = Image.fromarray(value).convert("L")
14
  inputs = processor(images=image, return_tensors="pt")
15
  outputs = model(**inputs)
16
  logits = outputs.logits
requirements.txt CHANGED
@@ -1,3 +1,2 @@
1
  fastai
2
  transformers
3
- face_recognition
 
1
  fastai
2
  transformers