Update app.py
Browse files
app.py
CHANGED
|
@@ -15,10 +15,6 @@ def predict(img):
|
|
| 15 |
pred_dict = models.torchvision.faster_rcnn.end2end_detect(img, infer_tfms, model.to("cpu"), class_map=class_map, detection_threshold=0.5)
|
| 16 |
return pred_dict['img']
|
| 17 |
|
| 18 |
-
# Establecemos el título de la App y también indicamos
|
| 19 |
-
title = "Object Detector"
|
| 20 |
-
description = "A raccoon detector on images"
|
| 21 |
-
|
| 22 |
# Creamos la interfaz y la lanzamos.
|
| 23 |
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(),examples=['raccoon-110.jpg','raccoon-115.jpg','raccoon-29.jpg', 'raccoon-98.jpg']).launch(share=False)
|
| 24 |
|
|
|
|
| 15 |
pred_dict = models.torchvision.faster_rcnn.end2end_detect(img, infer_tfms, model.to("cpu"), class_map=class_map, detection_threshold=0.5)
|
| 16 |
return pred_dict['img']
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
# Creamos la interfaz y la lanzamos.
|
| 19 |
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(128, 128)), outputs=gr.outputs.Image(),examples=['raccoon-110.jpg','raccoon-115.jpg','raccoon-29.jpg', 'raccoon-98.jpg']).launch(share=False)
|
| 20 |
|