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Create LICENSE #22

Merged
merged 1 commit into from
Mar 16, 2023
Merged

Create LICENSE #22

merged 1 commit into from
Mar 16, 2023

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@fpaissan fpaissan merged commit 511997c into dev Mar 16, 2023
@fpaissan fpaissan deleted the add-license-1 branch March 16, 2023 17:22
fpaissan added a commit that referenced this pull request Jun 3, 2023
* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------

Co-authored-by: fpaissan <me@francescopaissan.it>
Co-authored-by: Francesco Paissan <46992226+fpaissan@users.noreply.github.com>

* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

---------

Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
fpaissan added a commit that referenced this pull request Jun 3, 2023
* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------

Co-authored-by: fpaissan <me@francescopaissan.it>
Co-authored-by: Francesco Paissan <46992226+fpaissan@users.noreply.github.com>

* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

* cosmetic

* bump version 0.0.4 -> 0.0.5

* Bump requests from 2.28.2 to 2.31.0 (#27)

Bumps [requests](https://github.com/psf/requests) from 2.28.2 to 2.31.0.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.31.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix pypi release

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
fpaissan added a commit that referenced this pull request Oct 12, 2023
* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------

Co-authored-by: fpaissan <me@francescopaissan.it>
Co-authored-by: Francesco Paissan <46992226+fpaissan@users.noreply.github.com>

* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

* cosmetic

* bump version 0.0.4 -> 0.0.5

* Bump requests from 2.28.2 to 2.31.0 (#27)

Bumps [requests](https://github.com/psf/requests) from 2.28.2 to 2.31.0.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.31.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix pypi release

* Update README.md (#29)

* Patch for faster GPU inference (#35)

* Patch for faster GPU inference

* remove unused zeropad def

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* initial commit

* add eval loop

* add acceleration

* modules as dict

* add checkpointer

* minor

* load best checkpoint

* restore epoch, optimizer, lr sched

* fix logging on multi-gpu

* minor fixes

* working on single gpu

* fix checkpointer + multi-gpu

* fp16 might not be ok yet

* load_modules and unwrap_model

* fixed convert and export

* cosmetic on export

* add argparse

* add metrics -- check something is off with acc

* its print strange

* fixed checkpointer viz

* fix checkpointers and metrics

* cosmetic

* linters

* add credits

* fix requirements

* fix unittest

* remove recipes

* remove unused files

* remove unused fuctions from networks

* fix tests

* hot fix

* onnx conversion without convert

* fix requirements

* add default class config and temp folder for debug mode

* add doc for class Metric

* finish doc MicroMind

* update docs

* linters fix

* new initial page

* bump version 0.0.5 -> 0.1.0

* final touches and bumpver

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Matteo Tremonti <102596472+Tremo8@users.noreply.github.com>
Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>
fpaissan added a commit that referenced this pull request Oct 12, 2023
* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------

Co-authored-by: fpaissan <me@francescopaissan.it>
Co-authored-by: Francesco Paissan <46992226+fpaissan@users.noreply.github.com>

* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

* cosmetic

* bump version 0.0.4 -> 0.0.5

* Bump requests from 2.28.2 to 2.31.0 (#27)

Bumps [requests](https://github.com/psf/requests) from 2.28.2 to 2.31.0.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.31.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix pypi release

* Update README.md (#29)

* Patch for faster GPU inference (#35)

* Patch for faster GPU inference

* remove unused zeropad def

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* initial commit

* add eval loop

* add acceleration

* modules as dict

* add checkpointer

* minor

* load best checkpoint

* restore epoch, optimizer, lr sched

* fix logging on multi-gpu

* minor fixes

* working on single gpu

* fix checkpointer + multi-gpu

* fp16 might not be ok yet

* load_modules and unwrap_model

* fixed convert and export

* cosmetic on export

* add argparse

* add metrics -- check something is off with acc

* its print strange

* fixed checkpointer viz

* fix checkpointers and metrics

* cosmetic

* linters

* add credits

* fix requirements

* fix unittest

* remove recipes

* remove unused files

* remove unused fuctions from networks

* fix tests

* hot fix

* onnx conversion without convert

* fix requirements

* add default class config and temp folder for debug mode

* add doc for class Metric

* finish doc MicroMind

* update docs

* linters fix

* new initial page

* bump version 0.0.5 -> 0.1.0

* final touches and bumpver

* Create .readthedocs.yaml (#42)

* Create .readthedocs.yaml

* Create requirements.txt

* Update .readthedocs.yaml

* Update README.md (#43)

* Update README.md

* Update index.rst

* Update README.md

* Update index.rst

* bump version 0.1.0 -> 0.1.1

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Matteo Tremonti <102596472+Tremo8@users.noreply.github.com>
Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>
fpaissan added a commit that referenced this pull request Nov 28, 2023
* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------

Co-authored-by: fpaissan <me@francescopaissan.it>
Co-authored-by: Francesco Paissan <46992226+fpaissan@users.noreply.github.com>

* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

* cosmetic

* bump version 0.0.4 -> 0.0.5

* Bump requests from 2.28.2 to 2.31.0 (#27)

Bumps [requests](https://github.com/psf/requests) from 2.28.2 to 2.31.0.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.31.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix pypi release

* Update README.md (#29)

* Patch for faster GPU inference (#35)

* Patch for faster GPU inference

* remove unused zeropad def

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* initial commit

* add eval loop

* add acceleration

* modules as dict

* add checkpointer

* minor

* load best checkpoint

* restore epoch, optimizer, lr sched

* fix logging on multi-gpu

* minor fixes

* working on single gpu

* fix checkpointer + multi-gpu

* fp16 might not be ok yet

* load_modules and unwrap_model

* fixed convert and export

* cosmetic on export

* add argparse

* add metrics -- check something is off with acc

* its print strange

* fixed checkpointer viz

* fix checkpointers and metrics

* cosmetic

* linters

* add credits

* fix requirements

* fix unittest

* remove recipes

* remove unused files

* remove unused fuctions from networks

* fix tests

* hot fix

* onnx conversion without convert

* fix requirements

* add default class config and temp folder for debug mode

* add doc for class Metric

* finish doc MicroMind

* update docs

* linters fix

* new initial page

* bump version 0.0.5 -> 0.1.0

* final touches and bumpver

* Create .readthedocs.yaml (#42)

* Create .readthedocs.yaml

* Create requirements.txt

* Update .readthedocs.yaml

* Update README.md (#43)

* Update README.md

* Update index.rst

* Update README.md

* Update index.rst

* bump version 0.1.0 -> 0.1.1

* Update core.py - fix test set loading

* fix dataloader prepare

* Fix checkpointing issues (#48)

* fix log hanging

* fix checkpointer loading

* fix linters

* remove breakpoint

* remove breakpoint (#49)

* remove opt step from test

* add metrics in test

* Adding image classification recipe (#57)

* YOLODataset

* it's training, but not really

* sth wrong with the loss

* remove files after saving better checkpoint

* same as last time

* fix dict magic

* fix dict magic

* trying exp train

* fix yolo training

* yolo ok, but need to fix checkpoints

* first refactor

* metrics problem

* add mAP metric

* fix map metric

* fix map

* working map

* refactor and batch/single_image management

* metrics code refactor in torch

* yolo inference optim

* config file management

* refactor

* major refactor

* Starting merge of fp_yolopatch_1 into refactor_yolo (#51)

* fix load_state + fix pbar train_loss

* remove mAP computation

* minor

* coco training of yolov8l

* increase number of workers

* remove breakpoint (#49)

* added working mAP

* added working mAP

* phinet object det - not converging

* fix Metric reduction with drop_last

* fixed train/val split

* little train optim

* Fix and improvements to the Metric class (#53)

* fix metrics and some polishing

* minor bug fixes

* cosmetic

* fix inference script

* bug fix on bbox rescaling

* minor

* starting training - franz

* fix scale boxes

* modules parametrization

* minor refactor

* Fixed Checkpointer logic and uncoupled it from the MicroMind (#54)

* separate checkpointer

* add status dict

* add new checkpointer logic and hooks for save_state

* minor to fix importing

* polishing training code

* ordered imports

* moved loss in another file

* add recover state to checkpointer

* removed breakpoint

* fix linters

* fix loguru style

* fix pytest

* moved load_params

* update reqs

* fix linters

* adding some docstrings

* add docstrings to prepare_data

* Added UserWarning

* Delete micromind/co

* fix debug option

* cosmetic

* add credits

* fix linters

* fix data location

* fix data location

* fix inference script

* supports optional scheduler

* minor

* started YOLO training

* switched to cos scheduler

* Experiment configuration system (#55)

* conf from python

* fixed paths

* handles configuration override

* refactor + cosmetic

* fix linters + remove old parsing

* started training with timm

* distributed working

* works on cifar10 with mixup

* now selecting bce_loss

* linters

* Add credis and some docstrings

* cosmetic

* fix config

* add README, remove inference

* fix command line script

* removing obj det stuff

* fix linters

* Add inference script

* linters

* fix readme

* add inference time

* add inference time to viz

* remove cifar10

* fix linters

---------

Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>

* Update inference.py

* Official YOLO implementation for micromind (#56)

* YOLODataset

* it's training, but not really

* sth wrong with the loss

* remove files after saving better checkpoint

* same as last time

* fix dict magic

* fix dict magic

* trying exp train

* fix yolo training

* yolo ok, but need to fix checkpoints

* first refactor

* metrics problem

* add mAP metric

* fix map metric

* fix map

* working map

* refactor and batch/single_image management

* metrics code refactor in torch

* yolo inference optim

* config file management

* refactor

* major refactor

* Starting merge of fp_yolopatch_1 into refactor_yolo (#51)

* fix load_state + fix pbar train_loss

* remove mAP computation

* minor

* coco training of yolov8l

* increase number of workers

* remove breakpoint (#49)

* added working mAP

* added working mAP

* phinet object det - not converging

* fix Metric reduction with drop_last

* fixed train/val split

* little train optim

* Fix and improvements to the Metric class (#53)

* fix metrics and some polishing

* minor bug fixes

* cosmetic

* fix inference script

* bug fix on bbox rescaling

* minor

* starting training - franz

* fix scale boxes

* modules parametrization

* minor refactor

* Fixed Checkpointer logic and uncoupled it from the MicroMind (#54)

* separate checkpointer

* add status dict

* add new checkpointer logic and hooks for save_state

* minor to fix importing

* polishing training code

* ordered imports

* moved loss in another file

* add recover state to checkpointer

* removed breakpoint

* fix linters

* fix loguru style

* fix pytest

* moved load_params

* update reqs

* fix linters

* adding some docstrings

* add docstrings to prepare_data

* Added UserWarning

* Delete micromind/co

* fix debug option

* cosmetic

* add credits

* fix linters

* fix data location

* fix data location

* fix inference script

* supports optional scheduler

* minor

* started YOLO training

* switched to cos scheduler

* Experiment configuration system (#55)

* conf from python

* fixed paths

* handles configuration override

* refactor + cosmetic

* fix linters + remove old parsing

* update yaml config

* passing iou_threshold to average precision function

* initial version of xinet

* needs fixing for exportability

* add xinet train config

* add xinet train config

* add xinet in classification recipe

* xinet training running

* add xinet tests to CI

* Update README.md

* cosmetic

* removed main for xinet's file

* removed object detection file

* fix linters

* fix linters

* fix credits

* add coco training configuration files

* add object detection README

* Add object detection files to XiNet as well (#59)

* fix linters

* fix credits

* add coco training configuration files

* replace micromind.utils.yolo

* update inference script

* linters

* add hparams to checkpointer

* fix validation metrics

* export in inference script

* update changelog

* add tinyCLAP folder

* fix linters

* better docs

* fix docs, pls check

* fix doc

* fix linters

---------

Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>

* bump version 0.1.1 -> 0.2.0

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Matteo Tremonti <102596472+Tremo8@users.noreply.github.com>
Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>
fpaissan added a commit that referenced this pull request Dec 6, 2023
* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------




* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------



* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

* cosmetic

* bump version 0.0.4 -> 0.0.5

* Bump requests from 2.28.2 to 2.31.0 (#27)

Bumps [requests](https://github.com/psf/requests) from 2.28.2 to 2.31.0.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.31.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-type: direct:production
...




* fix pypi release

* Update README.md (#29)

* Patch for faster GPU inference (#35)

* Patch for faster GPU inference

* remove unused zeropad def

---------



* initial commit

* add eval loop

* add acceleration

* modules as dict

* add checkpointer

* minor

* load best checkpoint

* restore epoch, optimizer, lr sched

* fix logging on multi-gpu

* minor fixes

* working on single gpu

* fix checkpointer + multi-gpu

* fp16 might not be ok yet

* load_modules and unwrap_model

* fixed convert and export

* cosmetic on export

* add argparse

* add metrics -- check something is off with acc

* its print strange

* fixed checkpointer viz

* fix checkpointers and metrics

* cosmetic

* linters

* add credits

* fix requirements

* fix unittest

* remove recipes

* remove unused files

* remove unused fuctions from networks

* fix tests

* hot fix

* onnx conversion without convert

* fix requirements

* add default class config and temp folder for debug mode

* add doc for class Metric

* finish doc MicroMind

* update docs

* linters fix

* new initial page

* bump version 0.0.5 -> 0.1.0

* final touches and bumpver

* Create .readthedocs.yaml (#42)

* Create .readthedocs.yaml

* Create requirements.txt

* Update .readthedocs.yaml

* Update README.md (#43)

* Update README.md

* Update index.rst

* Update README.md

* Update index.rst

* bump version 0.1.0 -> 0.1.1

* Update core.py - fix test set loading

* fix dataloader prepare

* Fix checkpointing issues (#48)

* fix log hanging

* fix checkpointer loading

* fix linters

* remove breakpoint

* remove breakpoint (#49)

* remove opt step from test

* add metrics in test

* Adding image classification recipe (#57)

* YOLODataset

* it's training, but not really

* sth wrong with the loss

* remove files after saving better checkpoint

* same as last time

* fix dict magic

* fix dict magic

* trying exp train

* fix yolo training

* yolo ok, but need to fix checkpoints

* first refactor

* metrics problem

* add mAP metric

* fix map metric

* fix map

* working map

* refactor and batch/single_image management

* metrics code refactor in torch

* yolo inference optim

* config file management

* refactor

* major refactor

* Starting merge of fp_yolopatch_1 into refactor_yolo (#51)

* fix load_state + fix pbar train_loss

* remove mAP computation

* minor

* coco training of yolov8l

* increase number of workers

* remove breakpoint (#49)

* added working mAP

* added working mAP

* phinet object det - not converging

* fix Metric reduction with drop_last

* fixed train/val split

* little train optim

* Fix and improvements to the Metric class (#53)

* fix metrics and some polishing

* minor bug fixes

* cosmetic

* fix inference script

* bug fix on bbox rescaling

* minor

* starting training - franz

* fix scale boxes

* modules parametrization

* minor refactor

* Fixed Checkpointer logic and uncoupled it from the MicroMind (#54)

* separate checkpointer

* add status dict

* add new checkpointer logic and hooks for save_state

* minor to fix importing

* polishing training code

* ordered imports

* moved loss in another file

* add recover state to checkpointer

* removed breakpoint

* fix linters

* fix loguru style

* fix pytest

* moved load_params

* update reqs

* fix linters

* adding some docstrings

* add docstrings to prepare_data

* Added UserWarning

* Delete micromind/co

* fix debug option

* cosmetic

* add credits

* fix linters

* fix data location

* fix data location

* fix inference script

* supports optional scheduler

* minor

* started YOLO training

* switched to cos scheduler

* Experiment configuration system (#55)

* conf from python

* fixed paths

* handles configuration override

* refactor + cosmetic

* fix linters + remove old parsing

* started training with timm

* distributed working

* works on cifar10 with mixup

* now selecting bce_loss

* linters

* Add credis and some docstrings

* cosmetic

* fix config

* add README, remove inference

* fix command line script

* removing obj det stuff

* fix linters

* Add inference script

* linters

* fix readme

* add inference time

* add inference time to viz

* remove cifar10

* fix linters

---------



* Update inference.py

* Official YOLO implementation for micromind (#56)

* YOLODataset

* it's training, but not really

* sth wrong with the loss

* remove files after saving better checkpoint

* same as last time

* fix dict magic

* fix dict magic

* trying exp train

* fix yolo training

* yolo ok, but need to fix checkpoints

* first refactor

* metrics problem

* add mAP metric

* fix map metric

* fix map

* working map

* refactor and batch/single_image management

* metrics code refactor in torch

* yolo inference optim

* config file management

* refactor

* major refactor

* Starting merge of fp_yolopatch_1 into refactor_yolo (#51)

* fix load_state + fix pbar train_loss

* remove mAP computation

* minor

* coco training of yolov8l

* increase number of workers

* remove breakpoint (#49)

* added working mAP

* added working mAP

* phinet object det - not converging

* fix Metric reduction with drop_last

* fixed train/val split

* little train optim

* Fix and improvements to the Metric class (#53)

* fix metrics and some polishing

* minor bug fixes

* cosmetic

* fix inference script

* bug fix on bbox rescaling

* minor

* starting training - franz

* fix scale boxes

* modules parametrization

* minor refactor

* Fixed Checkpointer logic and uncoupled it from the MicroMind (#54)

* separate checkpointer

* add status dict

* add new checkpointer logic and hooks for save_state

* minor to fix importing

* polishing training code

* ordered imports

* moved loss in another file

* add recover state to checkpointer

* removed breakpoint

* fix linters

* fix loguru style

* fix pytest

* moved load_params

* update reqs

* fix linters

* adding some docstrings

* add docstrings to prepare_data

* Added UserWarning

* Delete micromind/co

* fix debug option

* cosmetic

* add credits

* fix linters

* fix data location

* fix data location

* fix inference script

* supports optional scheduler

* minor

* started YOLO training

* switched to cos scheduler

* Experiment configuration system (#55)

* conf from python

* fixed paths

* handles configuration override

* refactor + cosmetic

* fix linters + remove old parsing

* update yaml config

* passing iou_threshold to average precision function

* initial version of xinet

* needs fixing for exportability

* add xinet train config

* add xinet train config

* add xinet in classification recipe

* xinet training running

* add xinet tests to CI

* Update README.md

* cosmetic

* removed main for xinet's file

* removed object detection file

* fix linters

* fix linters

* fix credits

* add coco training configuration files

* add object detection README

* Add object detection files to XiNet as well (#59)

* fix linters

* fix credits

* add coco training configuration files

* replace micromind.utils.yolo

* update inference script

* linters

* add hparams to checkpointer

* fix validation metrics

* export in inference script

* update changelog

* add tinyCLAP folder

* fix linters

* better docs

* fix docs, pls check

* fix doc

* fix linters

---------



* bump version 0.1.1 -> 0.2.0

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Matteo Tremonti <102596472+Tremo8@users.noreply.github.com>
Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>
fpaissan added a commit that referenced this pull request Dec 6, 2023
* Release 0.2.0 (#60)

* Extended unit tests to classifier and fixed pooling (#17)

* Extended unit tests to classifier and fixed pooling

* Changed trigger of doctest workflow

* Fixing issue #18

* fixed linters

* Add pre-commit hooks

* Doctest only on PRs

* Fixed network conversion from GPU

Also tested on Windows machine.

* Create python_versions.yml

* Update and rename python_versions.yml to tests.yml

* Update export.yaml

* CI fix (#21)

* Create pre-commit.yaml

* remove code.yaml

* fixing pre-commit

* Doctest with pytest

* change trigger

* change trigger

* Delete LICENSE

* checkpoint from filesystem (#20)

* checkpoint from filesystem

* fixed deps

* Update README.md

* Update LICENSE

* Updating LICENSE

---------

Co-authored-by: fpaissan <me@francescopaissan.it>
Co-authored-by: Francesco Paissan <46992226+fpaissan@users.noreply.github.com>

* Create LICENSE (#22)

* Update README.md (#23)

* new min python version to 3.8

* 🐛 extra_requirements now have a version - fixed CI (#24)

* 🐛 extra_requirements now have a version

* fixed linter errors

* testing actions

* fixed linter

* removing tf_probability

* fixed tf prob version

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* Documentation upgrade - guide for contribution (#25)

* add contribution guide to docs

* documentation with contribution guide

* cosmetic

* bump version 0.0.4 -> 0.0.5

* Bump requests from 2.28.2 to 2.31.0 (#27)

Bumps [requests](https://github.com/psf/requests) from 2.28.2 to 2.31.0.
- [Release notes](https://github.com/psf/requests/releases)
- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
- [Commits](psf/requests@v2.28.2...v2.31.0)

---
updated-dependencies:
- dependency-name: requests
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* fix pypi release

* Update README.md (#29)

* Patch for faster GPU inference (#35)

* Patch for faster GPU inference

* remove unused zeropad def

---------

Co-authored-by: fpaissan <me@francescopaissan.it>

* initial commit

* add eval loop

* add acceleration

* modules as dict

* add checkpointer

* minor

* load best checkpoint

* restore epoch, optimizer, lr sched

* fix logging on multi-gpu

* minor fixes

* working on single gpu

* fix checkpointer + multi-gpu

* fp16 might not be ok yet

* load_modules and unwrap_model

* fixed convert and export

* cosmetic on export

* add argparse

* add metrics -- check something is off with acc

* its print strange

* fixed checkpointer viz

* fix checkpointers and metrics

* cosmetic

* linters

* add credits

* fix requirements

* fix unittest

* remove recipes

* remove unused files

* remove unused fuctions from networks

* fix tests

* hot fix

* onnx conversion without convert

* fix requirements

* add default class config and temp folder for debug mode

* add doc for class Metric

* finish doc MicroMind

* update docs

* linters fix

* new initial page

* bump version 0.0.5 -> 0.1.0

* final touches and bumpver

* Create .readthedocs.yaml (#42)

* Create .readthedocs.yaml

* Create requirements.txt

* Update .readthedocs.yaml

* Update README.md (#43)

* Update README.md

* Update index.rst

* Update README.md

* Update index.rst

* bump version 0.1.0 -> 0.1.1

* Update core.py - fix test set loading

* fix dataloader prepare

* Fix checkpointing issues (#48)

* fix log hanging

* fix checkpointer loading

* fix linters

* remove breakpoint

* remove breakpoint (#49)

* remove opt step from test

* add metrics in test

* Adding image classification recipe (#57)

* YOLODataset

* it's training, but not really

* sth wrong with the loss

* remove files after saving better checkpoint

* same as last time

* fix dict magic

* fix dict magic

* trying exp train

* fix yolo training

* yolo ok, but need to fix checkpoints

* first refactor

* metrics problem

* add mAP metric

* fix map metric

* fix map

* working map

* refactor and batch/single_image management

* metrics code refactor in torch

* yolo inference optim

* config file management

* refactor

* major refactor

* Starting merge of fp_yolopatch_1 into refactor_yolo (#51)

* fix load_state + fix pbar train_loss

* remove mAP computation

* minor

* coco training of yolov8l

* increase number of workers

* remove breakpoint (#49)

* added working mAP

* added working mAP

* phinet object det - not converging

* fix Metric reduction with drop_last

* fixed train/val split

* little train optim

* Fix and improvements to the Metric class (#53)

* fix metrics and some polishing

* minor bug fixes

* cosmetic

* fix inference script

* bug fix on bbox rescaling

* minor

* starting training - franz

* fix scale boxes

* modules parametrization

* minor refactor

* Fixed Checkpointer logic and uncoupled it from the MicroMind (#54)

* separate checkpointer

* add status dict

* add new checkpointer logic and hooks for save_state

* minor to fix importing

* polishing training code

* ordered imports

* moved loss in another file

* add recover state to checkpointer

* removed breakpoint

* fix linters

* fix loguru style

* fix pytest

* moved load_params

* update reqs

* fix linters

* adding some docstrings

* add docstrings to prepare_data

* Added UserWarning

* Delete micromind/co

* fix debug option

* cosmetic

* add credits

* fix linters

* fix data location

* fix data location

* fix inference script

* supports optional scheduler

* minor

* started YOLO training

* switched to cos scheduler

* Experiment configuration system (#55)

* conf from python

* fixed paths

* handles configuration override

* refactor + cosmetic

* fix linters + remove old parsing

* started training with timm

* distributed working

* works on cifar10 with mixup

* now selecting bce_loss

* linters

* Add credis and some docstrings

* cosmetic

* fix config

* add README, remove inference

* fix command line script

* removing obj det stuff

* fix linters

* Add inference script

* linters

* fix readme

* add inference time

* add inference time to viz

* remove cifar10

* fix linters

---------

Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>

* Update inference.py

* Official YOLO implementation for micromind (#56)

* YOLODataset

* it's training, but not really

* sth wrong with the loss

* remove files after saving better checkpoint

* same as last time

* fix dict magic

* fix dict magic

* trying exp train

* fix yolo training

* yolo ok, but need to fix checkpoints

* first refactor

* metrics problem

* add mAP metric

* fix map metric

* fix map

* working map

* refactor and batch/single_image management

* metrics code refactor in torch

* yolo inference optim

* config file management

* refactor

* major refactor

* Starting merge of fp_yolopatch_1 into refactor_yolo (#51)

* fix load_state + fix pbar train_loss

* remove mAP computation

* minor

* coco training of yolov8l

* increase number of workers

* remove breakpoint (#49)

* added working mAP

* added working mAP

* phinet object det - not converging

* fix Metric reduction with drop_last

* fixed train/val split

* little train optim

* Fix and improvements to the Metric class (#53)

* fix metrics and some polishing

* minor bug fixes

* cosmetic

* fix inference script

* bug fix on bbox rescaling

* minor

* starting training - franz

* fix scale boxes

* modules parametrization

* minor refactor

* Fixed Checkpointer logic and uncoupled it from the MicroMind (#54)

* separate checkpointer

* add status dict

* add new checkpointer logic and hooks for save_state

* minor to fix importing

* polishing training code

* ordered imports

* moved loss in another file

* add recover state to checkpointer

* removed breakpoint

* fix linters

* fix loguru style

* fix pytest

* moved load_params

* update reqs

* fix linters

* adding some docstrings

* add docstrings to prepare_data

* Added UserWarning

* Delete micromind/co

* fix debug option

* cosmetic

* add credits

* fix linters

* fix data location

* fix data location

* fix inference script

* supports optional scheduler

* minor

* started YOLO training

* switched to cos scheduler

* Experiment configuration system (#55)

* conf from python

* fixed paths

* handles configuration override

* refactor + cosmetic

* fix linters + remove old parsing

* update yaml config

* passing iou_threshold to average precision function

* initial version of xinet

* needs fixing for exportability

* add xinet train config

* add xinet train config

* add xinet in classification recipe

* xinet training running

* add xinet tests to CI

* Update README.md

* cosmetic

* removed main for xinet's file

* removed object detection file

* fix linters

* fix linters

* fix credits

* add coco training configuration files

* add object detection README

* Add object detection files to XiNet as well (#59)

* fix linters

* fix credits

* add coco training configuration files

* replace micromind.utils.yolo

* update inference script

* linters

* add hparams to checkpointer

* fix validation metrics

* export in inference script

* update changelog

* add tinyCLAP folder

* fix linters

* better docs

* fix docs, pls check

* fix doc

* fix linters

---------

Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>

* bump version 0.1.1 -> 0.2.0

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Matteo Tremonti <102596472+Tremo8@users.noreply.github.com>
Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>

* fix linters

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Matteo Beltrami <71525176+matteobeltrami@users.noreply.github.com>
Co-authored-by: SebastianCavada <sebastian.cavada.lab@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Matteo Tremonti <102596472+Tremo8@users.noreply.github.com>
Co-authored-by: Matteo Beltrami <beltramimatteo01@gmail.com>
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