Feature/update mkdocs #47
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…the segmentation and heatmap output. (#37) * feat: Callback modification in anomalib.py to save the raw images of the segmentation and heatmap out put. * feat: default configuration added in default_anomalib.yaml * docs: Documentation added to CHANGELOG.md and anomaly_detection.md for plot_only_wrong and plot_raw_outputs * docs: Correction of erroneous text added in anomaly_detection.md --------- Co-authored-by: Ezequiel Bernatene <ezequiel.bernatene@orobix.com> Approved by: @lorenzomammana
…void code replication
…onnx and torchscript
…tallation to github tests
…rt function return values
* build: Add optional onnx dependencies * feat: Add onnx export function * refactor: Start logger refactoring * feat: Add onnx export capabilities for classification * feat: Add onnx export capability * feat: Add evaluation model wrappers * feat!: Refactor export_config parameter to become its own config to avoid code replication * refactor: Refactor export function to avoid excessive code replication * feat: Add inference configuration * build: Upgrade anomalib version * tests: Refactor anomaly tests to perform training and inference with onnx and torchscript * tests: Improve tests for classification related tasks * tests: Update segmentation tests with onnx export * tests: Update ssl tests to integrate onnx export * tests: Add tests to validate the outputs of exported models * build: Add pytest lazy fixtures package to test requirements * tests: Add tests checking the equality of exported models outputs * tests: Add guards to run tests if onnx is not installed, add onnx installation to github tests * style: Fix wrong parentheses * fix: Fix wrong usage of pytest skipif * fix: Fix missing parameter pop in export onnx function * tests: Remove onnx export from fastflow test * fix: Allow model wrapper to retrieve input shapes if instance is a torchscript model * build: Bump version 1.1.3 -> 1.1.4 * docs: Update changelog * refactor: Tiny improvements to model export * refactor: Add dictionary mapping export types and paths to model export function return values * fix: Fix defaults order * refactor: Move get_export_extension function * feat: Use iobinding to handle torch inputs for onnx * feat: Add cpu method to evaluation models * fix: Fix wrong configuration parameter * fix: Fix segmentation analysis not working due to missing parameter * feat: add gpu unit tests * docs: Add documentation for model import and export * docs: Add export information in documentation * docs: Update changelog * refactor: Remove references to save_backbone parameter * docs: Update changelog * docs: Fix wrong typing * fix: Avoid exporting ModelSignatureWrapper, fix wrong onnx export with multiple inputs * fix: Fix multiple inputs not handled properly in onnx evaluation forward * feat: Add automatic export with strict=False if normal torchscript fails * fix: Fix dynamic axes not generated properly when fixed_batch_size isn't passed to configuration --------- Approved By: @AlessandroPolidori Co-authored-by: rcmalli <refikcan.malli@orobix.com>
* fix: Fix logical anomaly evaluation, add temporary fix to TorchscriptEvaluationModel __call__ * Fix logical_anomaly input shape for torchscript export model * Fix export for anomaly detection new model * Fix logical anomaly evaluation * fix: Fix wrong device used in anomaly detection task * Fix num_processes in efficientad experiment config * Fix: remove paths from efficientnet config * Fix: add model name in padim * feat: Improve efficientad configuration, add generic experiment * feat: Add generic configuration * build: Update anomalib requirement * docs: Update changelog * Add: efficientad test * fix: efficient_ad test is now indipendent from our machine paths * tests: Refactor imagenette fixture in its own file * Fix: using dictionary get() method for retrocompatibility * docs: Remove merge conflict error * docs: Add efficientAd documentation --------- Co-authored-by: Lorenzo Mammana <lorenzo.mammana@orobix.com> Co-authored-by: rcmalli <refikcan.malli@orobix.com> Approved By: @lorenzomammana
Bugfix/git hyperparameter crash
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Summary
Updates
mkdocsrelated dependencies and fixes versions of them. This PR also aims to fix failing pipeline for documentations.Type of Change
Checklist