innat commited on
Commit
8ecd497
1 Parent(s): 91201d5

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +22 -26
app.py CHANGED
@@ -12,20 +12,20 @@ from utils import IMAGENET_MEAN, IMAGENET_STD, num_frames, patch_size, input_siz
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  from labels import K400_label_map, SSv2_label_map, UCF_label_map
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- MODELS = {
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- 'K400': [
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- './TFVideoMAE_S_K400_16x224_FT',
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- './TFVideoMAE_S_K400_16x224_PT'
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- ],
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- 'SSv2': [
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- './TFVideoMAE_S_K400_16x224_FT',
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- './TFVideoMAE_S_K400_16x224_PT'
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- ],
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- 'UCF' : [
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- './TFVideoMAE_S_K400_16x224_FT',
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- './TFVideoMAE_S_K400_16x224_PT'
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- ]
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- }
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  LABEL_MAPS = {
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  'K400': K400_label_map,
@@ -51,18 +51,15 @@ def tube_mask_generator(mask_ratio):
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  def get_model(model_type):
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- print('---------------------')
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- print('innat/videomae/' + model_type + '_FT')
 
 
 
 
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- ft_path = hf_hub_download(
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- repo_id='innat/videomae', filename=model_type + '_FT', repo_type="model"
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- )
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- pt_path = hf_hub_download(
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- repo_id='innat/videomae', filename=model_type + '_PT', repo_type="model"
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- )
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-
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- ft_model = keras.models.load_model(ft_path)
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- pt_model = keras.models.load_model(pt_path)
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  if 'K400' in model_type:
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  data_type = 'K400'
@@ -126,7 +123,6 @@ def main():
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  'TFVideoMAE_B_UCF_16x224',
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  ]
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-
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  sample_example = [
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  ["examples/k400.mp4", ALL_MODELS[0], 0.9],
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  ["examples/k400.mp4", ALL_MODELS[1], 0.8],
 
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  from labels import K400_label_map, SSv2_label_map, UCF_label_map
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+ # MODELS = {
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+ # 'K400': [
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+ # './TFVideoMAE_S_K400_16x224_FT',
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+ # './TFVideoMAE_S_K400_16x224_PT'
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+ # ],
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+ # 'SSv2': [
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+ # './TFVideoMAE_S_K400_16x224_FT',
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+ # './TFVideoMAE_S_K400_16x224_PT'
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+ # ],
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+ # 'UCF' : [
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+ # './TFVideoMAE_S_K400_16x224_FT',
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+ # './TFVideoMAE_S_K400_16x224_PT'
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+ # ]
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+ # }
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  LABEL_MAPS = {
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  'K400': K400_label_map,
 
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  def get_model(model_type):
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+ # ft_path = hf_hub_download(
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+ # repo_id='innat/videomae', filename=model_type + '_FT', repo_type="model"
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+ # )
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+ # pt_path = hf_hub_download(
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+ # repo_id='innat/videomae', filename=model_type + '_PT', repo_type="model"
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+ # )
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+ ft_model = keras.models.load_model(model_type + '_FT')
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+ pt_model = keras.models.load_model(model_type + '_PT')
 
 
 
 
 
 
 
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  if 'K400' in model_type:
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  data_type = 'K400'
 
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  'TFVideoMAE_B_UCF_16x224',
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  ]
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  sample_example = [
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  ["examples/k400.mp4", ALL_MODELS[0], 0.9],
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  ["examples/k400.mp4", ALL_MODELS[1], 0.8],