Food app for food classification
Browse files- README.md +4 -0
- hyperpara.py +0 -1
- inference.py +1 -2
README.md
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@@ -14,3 +14,7 @@ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-
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LIVE DEPLOYMENT AT: https://huggingface.co/spaces/mrdbourke/foodvision_big
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LIVE DEPLOYMENT AT: https://huggingface.co/spaces/mrdbourke/foodvision_big
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ONNX and ONNXruntime : use for model optimization
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OPTUNA: for hyperparameter tuning
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WANDB: for exprement track
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GRADIO and HUGGING FACE: for model deployment
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hyperpara.py
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import os
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import torch
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import torch.nn as nn
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import optuna
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import torch
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import torch.nn as nn
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import optuna
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inference.py
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import torch.nn as nn
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import onnx
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import
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from train import device, NUM_CLASSES
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from torchvision.models import efficientnet_b0, EfficientNet_B0_Weights
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from torchmetrics.classification import MulticlassAccuracy
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import onnxruntime as ort
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import numpy as np
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import torch.nn as nn
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import onnx
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import data, utils
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from train import device, NUM_CLASSES
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from torchvision.models import efficientnet_b0, EfficientNet_B0_Weights
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import onnxruntime as ort
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import numpy as np
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