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Bump version to 0.2.1 #71
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* 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.
* checkpoint from filesystem * fixed deps * Update README.md * Update LICENSE * Updating LICENSE --------- Co-authored-by: fpaissan <[email protected]> Co-authored-by: Francesco Paissan <[email protected]>
* 🐛 extra_requirements now have a version * fixed linter errors * testing actions * fixed linter * removing tf_probability * fixed tf prob version --------- Co-authored-by: fpaissan <[email protected]>
* add contribution guide to docs * documentation with contribution guide
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] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* Patch for faster GPU inference * remove unused zeropad def --------- Co-authored-by: fpaissan <[email protected]>
* Update README.md * Update index.rst * Update README.md * Update index.rst
* fix log hanging * fix checkpointer loading * fix linters * remove breakpoint
* 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 <[email protected]>
* 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 <[email protected]>
* Update pre-commit.yaml * Update tests.yml
* DDP now working * removed print * fix mixed precision training * fix hardcoded opt and sched acceleration * using entire phinet comp graph * fix training * linters * fix inference script for DDP changes * fix linters * explaining changes in README
…callbacks (#63) * add complexity estimation in MicroMind * add warning when i can't compute macs * removed print in checkpointer * add per-module macs, with error handling * fix linters * fix docstrings core * WIP - need to use in export * enable dump of python object in checkpointing args * update export without replace_forward * Add PTQ option of MM export
Bumps [certifi](https://github.com/certifi/python-certifi) from 2022.12.7 to 2023.7.22. - [Commits](certifi/python-certifi@2022.12.07...2023.07.22) --- updated-dependencies: - dependency-name: certifi dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Bumps [urllib3](https://github.com/urllib3/urllib3) from 1.26.14 to 1.26.18. - [Release notes](https://github.com/urllib3/urllib3/releases) - [Changelog](https://github.com/urllib3/urllib3/blob/main/CHANGES.rst) - [Commits](urllib3/urllib3@1.26.14...1.26.18) --- updated-dependencies: - dependency-name: urllib3 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* Update yolo.py * fix linters
* Update yolo.py * fix linters
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What's Changed
Update pre-commit.yaml by @fpaissan in #62
Fix DDP and mixed precision training w/ accelerate by @fpaissan in #61
Fix docstrings in core.py and add compute_params and compute_metrics callbacks by @fpaissan in #63
Bump certifi from 2022.12.7 to 2023.7.22 by https://github.com/dependabot in #66
Bump urllib3 from 1.26.14 to 1.26.18 by https://github.com/dependabot in #65
Update yolo.py by @fpaissan in #67
Revert "Update yolo.py" by @fpaissan in #68
Remove mandatory dependency to opencv-python by @fpaissan in #69