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fpaissan
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* 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
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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
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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
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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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