mirror of
https://github.com/hanzoai/anomalib.git
synced 2026-10-30 18:48:11 +00:00
The previous commit was meant to remove .github/workflows and removed every tracked path instead — 892 files, the whole repo. This puts back the 874 that were never in scope; the eighteen workflow files stay gone, for the reasons that commit gives. Content is byte-identical to 9d2aec9 outside .github/workflows.
39 lines
1.1 KiB
Bash
39 lines
1.1 KiB
Bash
#!/bin/bash
|
|
|
|
# Copyright (C) 2024 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
# Using MVTecAD Dataset with Anomalib CLI
|
|
# -----------------------------------
|
|
# This example shows different ways to use the MVTecAD dataset.
|
|
|
|
# 1. Basic Usage
|
|
# Train on a specific MVTecAD category
|
|
echo "Training on MVTecAD bottle category..."
|
|
anomalib train \
|
|
--model efficient_ad \
|
|
--data.category bottle
|
|
|
|
# 2. Advanced Configuration
|
|
# Customize data loading and preprocessing
|
|
echo -e "\nTraining with custom data settings..."
|
|
anomalib train \
|
|
--model efficient_ad \
|
|
--data.category bottle \
|
|
--data.train_batch_size 32 \
|
|
--data.eval_batch_size 32 \
|
|
--data.num_workers 8 \
|
|
--data.val_split_mode from_test \
|
|
--data.val_split_ratio 0.5
|
|
|
|
# 3. Training Multiple Categories
|
|
# Train separate models for different categories
|
|
echo -e "\nTraining on multiple MVTecAD categories..."
|
|
for category in "bottle" "cable" "capsule"; do
|
|
echo "Training on category: $category"
|
|
anomalib train \
|
|
--model efficient_ad \
|
|
--data.category "$category" \
|
|
--trainer.default_root_dir "results/$category"
|
|
done
|