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example_train.sh
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#!/bin/bash
cd "$(dirname ${0})/.."
#### HuggingFace datasets training
# To use HuggingFace datasets, you need to additionally install requirements-optional.txt
# `pip install -r requirements-optional.txt`
#### (END)
#### Classification
netspresso-train\
--data config/data/beans.yaml\
--augmentation config/augmentation/classification.yaml\
--model config/model/resnet/resnet50-classification.yaml\
--training config/training/classification.yaml\
--logging config/logging.yaml\
--environment config/environment.yaml
# netspresso-train\
# --data config/data/beans.yaml\
# --augmentation config/augmentation/classification.yaml\
# --model config/model/efficientformer/efficientformer-l1-classification.yaml\
# --training config/training/classification.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
# netspresso-train\
# --data config/data/beans.yaml\
# --augmentation config/augmentation/classification.yaml\
# --model config/model/mobilevit/mobilevit-s-classification.yaml\
# --training config/training/classification.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
# netspresso-train\
# --data config/data/beans.yaml\
# --augmentation config/augmentation/classification.yaml\
# --model config/model/segformer/segformer-classification.yaml\
# --training config/training/classification.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
# netspresso-train\
# --data config/data/beans.yaml\
# --augmentation config/augmentation/classification.yaml\
# --model config/model/vit/vit-classification.yaml\
# --training config/training/classification.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
#### (END)
#### Segmentation
# netspresso-train\
# --data config/data/sidewalk-semantic.yaml\
# --augmentation config/augmentation/segmentation.yaml\
# --model config/model/efficientformer/efficientformer-l1-segmentation.yaml\
# --training config/training/segmentation.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
# netspresso-train\
# --data config/data/sidewalk-semantic.yaml\
# --augmentation config/augmentation/segmentation.yaml\
# --model config/model/resnet50/resnet50-segmentation.yaml\
# --training config/training/segmentation.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
# netspresso-train\
# --data config/data/sidewalk-semantic.yaml\
# --augmentation config/augmentation/segmentation.yaml\
# --model config/model/segformer/segformer-segmentation.yaml\
# --training config/training/segmentation.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
# netspresso-train\
# --data config/data/sidewalk-semantic.yaml\
# --augmentation config/augmentation/segmentation.yaml\
# --model config/model/pidnet/pidnet-s-segmentation.yaml\
# --training config/training/segmentation.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
#### (END)
#### Detection
# netspresso-train\
# --data config/data/traffic-sign.yaml\
# --augmentation config/augmentation/detection.yaml\
# --model config/model/efficientformer/efficientformer-l1-detection.yaml\
# --training config/training/detection.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml
#### (END)
#### Multi-GPU training
# Put the index of GPU(s) at `--gpus`
#### (END)
# netspresso-train\
# --gpus 0,1,2,3\
# --data config/data/beans.yaml\
# --augmentation config/augmentation/classification.yaml\
# --model config/model/resnet/resnet50-classification.yaml\
# --training config/training/classification.yaml\
# --logging config/logging.yaml\
# --environment config/environment.yaml