Fixed pipeline errors
Browse files- pipeline.py +4 -3
pipeline.py
CHANGED
@@ -11,12 +11,13 @@ import numpy as np
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class PreTrainedPipeline():
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def __init__(self, path=""):
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-
crop_size = (224, 224)
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embed_dim = 256
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num_layers = 3
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seq_length = 20
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hidden_dim = 1024
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num_heads = 8
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self.nutr_names = ('energy', 'fat', 'protein', 'carbs')
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with open(os.path.join(path, "ingredients_metadata.json"), encoding='UTF-8') as f:
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self.ingredients = json.load(f)
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@@ -25,7 +26,7 @@ class PreTrainedPipeline():
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self.seq_length = seq_length
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self.tfing = TFIng(
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crop_size,
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embed_dim,
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num_layers,
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seq_length,
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@@ -38,7 +39,7 @@ class PreTrainedPipeline():
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self.tfing.load_weights(os.path.join(path, 'tfing.h5'))
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self.tfport = TFPort(
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crop_size,
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embed_dim,
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num_layers,
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num_layers,
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class PreTrainedPipeline():
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def __init__(self, path=""):
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embed_dim = 256
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num_layers = 3
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seq_length = 20
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hidden_dim = 1024
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num_heads = 8
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+
self.crop_size = (224, 224)
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self.img_size = 256
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self.nutr_names = ('energy', 'fat', 'protein', 'carbs')
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with open(os.path.join(path, "ingredients_metadata.json"), encoding='UTF-8') as f:
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self.ingredients = json.load(f)
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self.seq_length = seq_length
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self.tfing = TFIng(
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self.crop_size,
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embed_dim,
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num_layers,
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seq_length,
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self.tfing.load_weights(os.path.join(path, 'tfing.h5'))
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self.tfport = TFPort(
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+
self.crop_size,
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embed_dim,
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num_layers,
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num_layers,
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