mirror of
https://github.com/immich-app/immich.git
synced 2025-10-31 02:39:03 -04:00
33 lines
953 B
Python
33 lines
953 B
Python
from tensorflow.keras.applications import InceptionV3
|
|
from tensorflow.keras.applications.inception_v3 import preprocess_input, decode_predictions
|
|
from tensorflow.keras.preprocessing import image
|
|
import numpy as np
|
|
|
|
IMG_SIZE = 299
|
|
PREDICTION_MODEL = InceptionV3(weights='imagenet')
|
|
|
|
|
|
def classify_image(image_path: str):
|
|
img_path = f'./app/{image_path}'
|
|
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
|
x = image.img_to_array(img)
|
|
x = np.expand_dims(x, axis=0)
|
|
x = preprocess_input(x)
|
|
|
|
preds = PREDICTION_MODEL.predict(x)
|
|
result = decode_predictions(preds, top=3)[0]
|
|
payload = []
|
|
for _, value, _ in result:
|
|
payload.append(value)
|
|
|
|
return payload
|
|
|
|
|
|
def warm_up():
|
|
img_path = f'./app/test.png'
|
|
img = image.load_img(img_path, target_size=(IMG_SIZE, IMG_SIZE))
|
|
x = image.img_to_array(img)
|
|
x = np.expand_dims(x, axis=0)
|
|
x = preprocess_input(x)
|
|
PREDICTION_MODEL.predict(x)
|