ViTViz / Makefile
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feat(ui): descrição, créditos e agradecimento de financiamento; corrige caixa de upload presa ao voltar para modelo default
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.PHONY: install app experiment attention figures clean help test
PYTHON ?= python
CONFIG ?= configs/default.yaml
help: ## Show this help
@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-18s\033[0m %s\n", $$1, $$2}'
install: ## Install all dependencies
pip install -r requirements.txt
download-samples: ## Download 10 sample ImageNet images (requer HF login)
$(PYTHON) data/download_samples.py
app: ## Run the Gradio web app
$(PYTHON) app.py
experiment: ## Run full attack sweep (CONFIG=configs/experiments/exp_quick_test.yaml)
$(PYTHON) experiments/run_attack_sweep.py --config $(CONFIG)
experiment-dry: ## Dry run: show combinations without running attacks
$(PYTHON) experiments/run_attack_sweep.py --config $(CONFIG) --dry-run
attention: ## Run attention analysis for all config combinations
$(PYTHON) experiments/run_attention_analysis.py --config $(CONFIG) --all
quick-test: ## Run quick experiment (single model, FGSM, 1 epsilon)
$(PYTHON) experiments/run_attack_sweep.py --config configs/experiments/exp_quick_test.yaml
test: ## Run all unit tests
$(PYTHON) -m unittest discover -s tests -t . -p "*_test.py" -v
clean-results: ## Remove all experiment outputs
rm -rf results/raw/ results/figures/ results/tables/
clean: clean-results ## Clean all generated files
find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true
find . -name "*.pyc" -delete 2>/dev/null || true