kritsg commited on
Commit
ead7d7b
·
1 Parent(s): 9bd5d1e

debugging index 0 is out of bounds for axis 0 with size 0 error

Browse files
Files changed (2) hide show
  1. app.py +3 -0
  2. bayes/models.py +1 -1
app.py CHANGED
@@ -30,11 +30,14 @@ BLENHEIM_SPANIEL_CLASS = 156
30
  def get_image_data():
31
  """Gets the image data and model."""
32
  puppy_image = get_dataset_by_name(IMAGE_NAME, get_label=False)
 
33
  model_and_data = process_imagenet_get_model(puppy_image)
 
34
  return puppy_image, model_and_data
35
 
36
 
37
  def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
 
38
  cred_width = c_width
39
  n_top_segs = n_top
40
  n_gif_images = n_gif_imgs
 
30
  def get_image_data():
31
  """Gets the image data and model."""
32
  puppy_image = get_dataset_by_name(IMAGE_NAME, get_label=False)
33
+ print("IMAGE RETURNED FROM GETTING DATASET:\n", model_and_data)
34
  model_and_data = process_imagenet_get_model(puppy_image)
35
+ print("MODEL RETURNED FROM PROCESSING IMAGE:\n", model_and_data)
36
  return puppy_image, model_and_data
37
 
38
 
39
  def segmentation_generation(image_name, c_width, n_top, n_gif_imgs):
40
+ print("GRADIO INPUTS:", image_name, c_width, n_top, n_gif_images)
41
  cred_width = c_width
42
  n_top_segs = n_top
43
  n_gif_images = n_gif_imgs
bayes/models.py CHANGED
@@ -39,7 +39,7 @@ def get_xtrain(segs):
39
 
40
  def process_imagenet_get_model(data):
41
  """Gets wrapped imagenet model."""
42
-
43
  # Get the vgg16 model, used in the experiments
44
  model = models.vgg16(pretrained=True)
45
  model.eval()
 
39
 
40
  def process_imagenet_get_model(data):
41
  """Gets wrapped imagenet model."""
42
+ print("DATA RECEIVED FROM APP:\n", data)
43
  # Get the vgg16 model, used in the experiments
44
  model = models.vgg16(pretrained=True)
45
  model.eval()