45 lines
2.1 KiB
Makefile
45 lines
2.1 KiB
Makefile
all: data train eval
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training.csv: prepare_training_data.py training_data_raw.csv
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@echo "Preparing bootstrapped sign text bags..."
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@bash -c 'source .venv/bin/activate && python prepare_training_data.py'
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data: training.csv
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train: train.py training.csv
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@echo "Training coordinate regressor..."
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@bash -c 'source .venv/bin/activate && python train.py --epochs 50'
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eval: eval.py training.csv
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@echo "Evaluating coordinate regressor..."
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@bash -c 'source .venv/bin/activate && python eval.py'
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train_frozen_encoder: train.py training.csv
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@echo "Training coordinate head with frozen encoder..."
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@bash -c 'source .venv/bin/activate && python train.py --output-path output_frozen_encoder --freeze-encoder --epochs 50'
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eval_frozen_encoder: eval.py training.csv
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@echo "Evaluating frozen-encoder coordinate regressor..."
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@bash -c 'source .venv/bin/activate && python eval.py --model-path output_frozen_encoder --output-file predictions_frozen_encoder.csv --plot-file plots/prediction_map_frozen_encoder.png --scatter-plot-file plots/predicted_vs_actual_frozen_encoder.png'
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train_frozen_layers: train.py training.csv
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@echo "Training coordinate regressor with first transformer layers frozen..."
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@bash -c 'source .venv/bin/activate && python train.py --output-path output_frozen_layers --freeze-transformer-layers 4 --epochs 50'
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eval_frozen_layers: eval.py training.csv
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@echo "Evaluating frozen-layer coordinate regressor..."
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@bash -c 'source .venv/bin/activate && python eval.py --model-path output_frozen_layers --output-file predictions_frozen_layers.csv --plot-file plots/prediction_map_frozen_layers.png --scatter-plot-file plots/predicted_vs_actual_frozen_layers.png'
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lint:
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@echo "Auto-linting files and performing final style checks..."
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@bash -c 'source .venv/bin/activate && isort --profile=black *.py'
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@bash -c 'source .venv/bin/activate && black *.py'
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@bash -c 'source .venv/bin/activate && flake8 --max-line-length=88 --ignore E203 *.py'
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clean:
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@echo "Removing generated outputs"
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@rm -rf output/
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@rm -f training.csv predictions.csv
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.PHONY: data train eval train_frozen_encoder eval_frozen_encoder train_frozen_layers eval_frozen_layers lint clean all
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