Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -7,7 +7,6 @@ import gradio as gr
|
|
7 |
import tensorflow as tf
|
8 |
from keras import layers
|
9 |
from pathlib import Path
|
10 |
-
from pathlib import Path
|
11 |
from collections import Counter
|
12 |
|
13 |
def ctc_batch_cost(y_true, y_pred, input_length, label_length):
|
@@ -132,6 +131,9 @@ def distortion_free_resize(image, img_size):
|
|
132 |
|
133 |
def decode_batch_predictions(input_image):
|
134 |
img_size=(128, 32)
|
|
|
|
|
|
|
135 |
input_image = tf.io.decode_image(input_image, channels=1, dtype=tf.dtypes.uint8)
|
136 |
input_image = distortion_free_resize(input_image, img_size)
|
137 |
input_image = tf.image.convert_image_dtype(input_image, tf.float32)/255.0
|
|
|
7 |
import tensorflow as tf
|
8 |
from keras import layers
|
9 |
from pathlib import Path
|
|
|
10 |
from collections import Counter
|
11 |
|
12 |
def ctc_batch_cost(y_true, y_pred, input_length, label_length):
|
|
|
131 |
|
132 |
def decode_batch_predictions(input_image):
|
133 |
img_size=(128, 32)
|
134 |
+
img_byte_array = io.BytesIO()
|
135 |
+
input_image.save(img_byte_array, format='JPG') # Change the format as needed
|
136 |
+
input_image = img_byte_array.getvalue()
|
137 |
input_image = tf.io.decode_image(input_image, channels=1, dtype=tf.dtypes.uint8)
|
138 |
input_image = distortion_free_resize(input_image, img_size)
|
139 |
input_image = tf.image.convert_image_dtype(input_image, tf.float32)/255.0
|