├── .gitignore ├── .vscode ├── launch.json └── settings.json ├── README.md ├── data ├── camacuc.yaml ├── camacuc2.yaml ├── datasets │ └── camacuc2 │ │ ├── classes.txt │ │ ├── train │ │ ├── boro_moro_puromoro0b8870037f3c.png │ │ ├── boro_moro_puromoro0b8870037f3c.txt │ │ ├── boro_moro_puromoro2081d7665ad6.png │ │ ├── boro_moro_puromoro2081d7665ad6.txt │ │ ├── boro_moro_puromoro2103f89942f6.png │ │ ├── boro_moro_puromoro2103f89942f6.txt │ │ ├── boro_moro_puromoro2bcdd48a306f.png │ │ ├── boro_moro_puromoro2bcdd48a306f.txt │ │ ├── boro_moro_puromoro55f1bc70ffc7.png │ │ ├── boro_moro_puromoro55f1bc70ffc7.txt │ │ ├── boro_moro_puromoro5d7ce5182b9a.png │ │ ├── boro_moro_puromoro5d7ce5182b9a.txt │ │ ├── boro_moro_puromoro74a1263c7290.png │ │ ├── boro_moro_puromoro74a1263c7290.txt │ │ ├── boro_moro_puromoro786a896663d2.png │ │ ├── boro_moro_puromoro786a896663d2.txt │ │ ├── boro_moro_puromoro85c6c34467c5.png │ │ ├── boro_moro_puromoro85c6c34467c5.txt │ │ ├── boro_moro_puromoro98f033a08cff.png │ │ ├── boro_moro_puromoro98f033a08cff.txt │ │ ├── boro_moro_puromoroa3dddf76eba3.png │ │ ├── boro_moro_puromoroa3dddf76eba3.txt │ │ ├── boro_moro_puromorod0fe82f834ca.png │ │ ├── boro_moro_puromorod0fe82f834ca.txt │ │ ├── boro_moro_puromoroe2a9612986d1.png │ │ ├── boro_moro_puromoroe2a9612986d1.txt │ │ ├── boro_moro_puromorof0002a285958.png │ │ ├── boro_moro_puromorof0002a285958.txt │ │ ├── boro_moro_puromorof4f1d7ef77ad.png │ │ ├── boro_moro_puromorof4f1d7ef77ad.txt │ │ ├── boro_moro_puromorofb5bd7352e72.png │ │ ├── boro_moro_puromorofb5bd7352e72.txt │ │ ├── cap_indi1eabfc560dc2.png │ │ ├── cap_indi1eabfc560dc2.txt │ │ ├── cap_indi20e8171e8bab.png │ │ ├── cap_indi20e8171e8bab.txt │ │ ├── cap_indi2212eb82056a.png │ │ ├── cap_indi2212eb82056a.txt │ │ ├── cap_indi3d1c09cdf04d.png │ │ ├── cap_indi3d1c09cdf04d.txt │ │ ├── cap_indi405ce383548c.png │ │ ├── cap_indi405ce383548c.txt │ │ ├── cap_indi83d404f97213.png │ │ ├── cap_indi83d404f97213.txt │ │ ├── cap_indi889acffecd51.png │ │ ├── cap_indi889acffecd51.txt │ │ ├── cap_indi95b3848bb5b6.png │ │ ├── cap_indi95b3848bb5b6.txt │ │ ├── cap_indi9a2d5bf0c9ae.png │ │ ├── cap_indi9a2d5bf0c9ae.txt │ │ ├── cap_indiae3742ac17d5.png │ │ ├── cap_indiae3742ac17d5.txt │ │ ├── cap_indib6ecd78a2a8a.png │ │ ├── cap_indib6ecd78a2a8a.txt │ │ ├── cap_indibbffdf95f950.png │ │ ├── cap_indibbffdf95f950.txt │ │ ├── cap_indice7ab448eda9.png │ │ ├── cap_indice7ab448eda9.txt │ │ ├── cap_indid77303ecf19b.png │ │ ├── cap_indid77303ecf19b.txt │ │ ├── cap_indief13f69d5762.png │ │ ├── cap_indief13f69d5762.txt │ │ ├── carla_aventurera231e2e6d1670.png │ │ ├── carla_aventurera231e2e6d1670.txt │ │ ├── carla_aventurera272985159029.png │ │ ├── carla_aventurera272985159029.txt │ │ ├── carla_aventurera2acb7348dedf.png │ │ ├── carla_aventurera2acb7348dedf.txt │ │ ├── carla_aventurera47364d8c069a.png │ │ ├── carla_aventurera47364d8c069a.txt │ │ ├── carla_aventurera49293b2564cc.png │ │ ├── carla_aventurera49293b2564cc.txt │ │ ├── carla_aventurera4fc4a977d2f7.png │ │ ├── carla_aventurera4fc4a977d2f7.txt │ │ ├── carla_aventurera5f0220919e7f.png │ │ ├── carla_aventurera5f0220919e7f.txt │ │ ├── carla_aventurera61547a0548a4.png │ │ ├── carla_aventurera61547a0548a4.txt │ │ ├── carla_aventurera6c1919b37dbe.png │ │ ├── carla_aventurera6c1919b37dbe.txt │ │ ├── carla_aventurera740a70993b44.png │ │ ├── carla_aventurera740a70993b44.txt │ │ ├── carla_aventureracb3681c75dc3.png │ │ ├── carla_aventureracb3681c75dc3.txt │ │ ├── carla_aventurerae2c7a3b4accd.png │ │ ├── carla_aventurerae2c7a3b4accd.txt │ │ ├── carla_aventurerae746777f18f0.png │ │ ├── carla_aventurerae746777f18f0.txt │ │ ├── carla_aventureraf300cd08203c.png │ │ ├── carla_aventureraf300cd08203c.txt │ │ ├── corgelat3b077ad21923.png │ │ ├── corgelat3b077ad21923.txt │ │ ├── corgelat47f86b456362.png │ │ ├── corgelat47f86b456362.txt │ │ ├── corgelat7a82cb5bc53b.png │ │ ├── corgelat7a82cb5bc53b.txt │ │ ├── corgelat7df5364cd7c2.png │ │ ├── corgelat7df5364cd7c2.txt │ │ ├── corgelat8e2d6fa610cb.png │ │ ├── corgelat8e2d6fa610cb.txt │ │ ├── corgelat9773f64b17b5.png │ │ ├── corgelat9773f64b17b5.txt │ │ ├── corgelat98b925044635.png │ │ ├── corgelat98b925044635.txt │ │ ├── corgelatbc994631b77f.png │ │ ├── corgelatbc994631b77f.txt │ │ ├── nicasi_blai0a980f20a358.png │ │ ├── nicasi_blai0a980f20a358.txt │ │ ├── nicasi_blai0f9230468e7f.png │ │ ├── nicasi_blai0f9230468e7f.txt │ │ ├── nicasi_blai389d6cad03fe.png │ │ ├── nicasi_blai389d6cad03fe.txt │ │ ├── nicasi_blai3e5aa08e5e1d.png │ │ ├── nicasi_blai3e5aa08e5e1d.txt │ │ ├── nicasi_blai3f459bad48f7.png │ │ ├── nicasi_blai3f459bad48f7.txt │ │ ├── nicasi_blai5b9710a59a4d.png │ │ ├── nicasi_blai5b9710a59a4d.txt │ │ ├── nicasi_blai75c31856cc48.png │ │ ├── nicasi_blai75c31856cc48.txt │ │ ├── nicasi_blai7758d12c098e.png │ │ ├── nicasi_blai7758d12c098e.txt │ │ ├── nicasi_blai888942b3f771.png │ │ ├── nicasi_blai888942b3f771.txt │ │ ├── nicasi_blai88cbab30ebad.png │ │ ├── nicasi_blai88cbab30ebad.txt │ │ ├── nicasi_blaib901ab8f772e.png │ │ ├── nicasi_blaib901ab8f772e.txt │ │ ├── nicasi_blaica5c2d8014dc.png │ │ ├── nicasi_blaica5c2d8014dc.txt │ │ ├── nicasi_blaid5fb4699e8a7.png │ │ ├── nicasi_blaid5fb4699e8a7.txt │ │ ├── nicasi_blaidca966518e4c.png │ │ ├── nicasi_blaidca966518e4c.txt │ │ ├── nicasi_blaie9a29f86b195.png │ │ ├── nicasi_blaie9a29f86b195.txt │ │ ├── nicasi_blaieae56ad3ac02.png │ │ ├── nicasi_blaieae56ad3ac02.txt │ │ ├── nicasi_blaif3b0c66c8e6e.png │ │ ├── nicasi_blaif3b0c66c8e6e.txt │ │ ├── nicasi_blaifa2433883709.png │ │ ├── nicasi_blaifa2433883709.txt │ │ ├── nicasi_blaifaeafc761567.png │ │ ├── nicasi_blaifaeafc761567.txt │ │ ├── pasqualet169c4acb36aa.png │ │ ├── pasqualet169c4acb36aa.txt │ │ ├── pasqualet1f4e64c2978f.png │ │ ├── pasqualet1f4e64c2978f.txt │ │ ├── pasqualet210248b07631.png │ │ ├── pasqualet210248b07631.txt │ │ ├── pasqualet22674c109729.png │ │ ├── pasqualet22674c109729.txt │ │ ├── pasqualet2606d6862ee8.png │ │ ├── pasqualet2606d6862ee8.txt │ │ ├── pasqualet2c919ff71d14.png │ │ ├── pasqualet2c919ff71d14.txt │ │ ├── pasqualet35fe5302aa6a.png │ │ ├── pasqualet35fe5302aa6a.txt │ │ ├── pasqualet3d2ccc0e9274.png │ │ ├── pasqualet3d2ccc0e9274.txt │ │ ├── pasqualet41015651938c.png │ │ ├── pasqualet41015651938c.txt │ │ ├── pasqualet4d5b2b57db4d.png │ │ ├── pasqualet4d5b2b57db4d.txt │ │ ├── pasqualet4e74b7634a91.png │ │ ├── pasqualet4e74b7634a91.txt │ │ ├── pasqualet4eb562a2e36c.png │ │ ├── pasqualet4eb562a2e36c.txt │ │ ├── pasqualet7172d4dcdcde.png │ │ ├── pasqualet7172d4dcdcde.txt │ │ ├── pasqualet778e75a886ed.png │ │ ├── pasqualet778e75a886ed.txt │ │ ├── pasqualet907464e9bf98.png │ │ ├── pasqualet907464e9bf98.txt │ │ ├── pasqualeta78ef50caaed.png │ │ ├── pasqualeta78ef50caaed.txt │ │ ├── pasqualeta900e25e61f5.png │ │ ├── pasqualeta900e25e61f5.txt │ │ ├── pasqualetc161aaec8629.png │ │ ├── pasqualetc161aaec8629.txt │ │ ├── pasqualetc538ec27f975.png │ │ ├── pasqualetc538ec27f975.txt │ │ ├── pasqualetf9a310d29ab7.png │ │ ├── pasqualetf9a310d29ab7.txt │ │ ├── pere5a3357d39a37.png │ │ ├── pere5a3357d39a37.txt │ │ ├── pere6189bed5b357.png │ │ ├── pere6189bed5b357.txt │ │ ├── pere84b4a9e462c2.png │ │ ├── pere84b4a9e462c2.txt │ │ ├── pere9c5ea277c344.png │ │ ├── pere9c5ea277c344.txt │ │ ├── pereaae0d2675b3f.png │ │ ├── pereaae0d2675b3f.txt │ │ ├── perec6e361f3b9b0.png │ │ ├── perec6e361f3b9b0.txt │ │ ├── perecd8636d509f2.png │ │ ├── perecd8636d509f2.txt │ │ ├── vampi00b3622bc644.png │ │ ├── vampi00b3622bc644.txt │ │ ├── vampi066e3bf48ad1.png │ │ ├── vampi066e3bf48ad1.txt │ │ ├── vampi1e5fcfb1fad4.png │ │ ├── vampi1e5fcfb1fad4.txt │ │ ├── vampi2a5172e9b375.png │ │ ├── vampi2a5172e9b375.txt │ │ ├── vampi405351074798.png │ │ ├── vampi405351074798.txt │ │ ├── vampi4113464bfe19.png │ │ ├── vampi4113464bfe19.txt │ │ ├── vampi41b9a067fda0.png │ │ ├── vampi41b9a067fda0.txt │ │ ├── vampi4c398d19e9ed.png │ │ ├── vampi4c398d19e9ed.txt │ │ ├── vampi5783fdf33fb5.png │ │ ├── vampi5783fdf33fb5.txt │ │ ├── vampi737ab6dec4bd.png │ │ ├── vampi737ab6dec4bd.txt │ │ ├── vampi74b365457d73.png │ │ ├── vampi74b365457d73.txt │ │ ├── vampi90d8ce427b87.png │ │ ├── vampi90d8ce427b87.txt │ │ ├── vampi9ccdd1c87721.png │ │ ├── vampi9ccdd1c87721.txt │ │ ├── vampi9d4c7b6709bb.png │ │ ├── vampi9d4c7b6709bb.txt │ │ ├── vampia4cdf6e42782.png │ │ ├── vampia4cdf6e42782.txt │ │ ├── vampib32c9be70fc1.png │ │ ├── vampib32c9be70fc1.txt │ │ ├── vampib3ce1a62714b.png │ │ ├── vampib3ce1a62714b.txt │ │ ├── vampib51a0dd47f08.png │ │ ├── vampib51a0dd47f08.txt │ │ ├── vampidd2d68ecb135.png │ │ ├── vampidd2d68ecb135.txt │ │ ├── vampie9936ca6c5da.png │ │ └── vampie9936ca6c5da.txt │ │ └── val │ │ ├── boro_moro_puromoro1985991b53f9.png │ │ ├── boro_moro_puromoro1985991b53f9.txt │ │ ├── boro_moro_puromoro5db49024cb3d.png │ │ ├── boro_moro_puromoro5db49024cb3d.txt │ │ ├── boro_moro_puromoro73049f9b0d01.png │ │ ├── boro_moro_puromoro73049f9b0d01.txt │ │ ├── boro_moro_puromoro7bb793cad15b.png │ │ ├── boro_moro_puromoro7bb793cad15b.txt │ │ ├── boro_moro_puromoro8071818d295f.png │ │ ├── boro_moro_puromoro8071818d295f.txt │ │ ├── boro_moro_puromoroc58a910d8c16.png │ │ ├── boro_moro_puromoroc58a910d8c16.txt │ │ ├── boro_moro_puromorof11b55851b35.png │ │ ├── boro_moro_puromorof11b55851b35.txt │ │ ├── cap_indi2fd0f9251180.png │ │ ├── cap_indi2fd0f9251180.txt │ │ ├── cap_indi4790c9bb4f19.png │ │ ├── cap_indi4790c9bb4f19.txt │ │ ├── cap_indi4c534477a2be.png │ │ ├── cap_indi4c534477a2be.txt │ │ ├── cap_indi6947d2a806a3.png │ │ ├── cap_indi6947d2a806a3.txt │ │ ├── cap_indi7fde2ee077ef.png │ │ ├── cap_indi7fde2ee077ef.txt │ │ ├── cap_indicaa0a3d95c8b.png │ │ ├── cap_indicaa0a3d95c8b.txt │ │ ├── cap_indid63177e9347c.png │ │ ├── cap_indid63177e9347c.txt │ │ ├── cap_indifd469ab20374.png │ │ ├── cap_indifd469ab20374.txt │ │ ├── carla_aventurera0ec4faefd326.png │ │ ├── carla_aventurera0ec4faefd326.txt │ │ ├── carla_aventurera189c7914d6b4.png │ │ ├── carla_aventurera189c7914d6b4.txt │ │ ├── carla_aventurera45bec86b0ee5.png │ │ ├── carla_aventurera45bec86b0ee5.txt │ │ ├── carla_aventurera6b265f89d40a.png │ │ ├── carla_aventurera6b265f89d40a.txt │ │ ├── carla_aventurera8e3d34250a02.png │ │ ├── carla_aventurera8e3d34250a02.txt │ │ ├── carla_aventurerab5549ac5e1f1.png │ │ ├── carla_aventurerab5549ac5e1f1.txt │ │ ├── carla_aventureraf6a9ecff2783.png │ │ ├── carla_aventureraf6a9ecff2783.txt │ │ ├── corgelat9f1a74f5377d.png │ │ ├── corgelat9f1a74f5377d.txt │ │ ├── corgelatac6fccece1f8.png │ │ ├── corgelatac6fccece1f8.txt │ │ ├── corgelatf30e9fdd5117.png │ │ ├── corgelatf30e9fdd5117.txt │ │ ├── nicasi_blai19b6064b4d52.png │ │ ├── nicasi_blai19b6064b4d52.txt │ │ ├── nicasi_blai3ff3ee7da21d.png │ │ ├── nicasi_blai3ff3ee7da21d.txt │ │ ├── nicasi_blai44b39181c7ac.png │ │ ├── nicasi_blai44b39181c7ac.txt │ │ ├── nicasi_blai947ad1680f68.png │ │ ├── nicasi_blai947ad1680f68.txt │ │ ├── pasqualet145bebe7d760.png │ │ ├── pasqualet145bebe7d760.txt │ │ ├── pasqualet27338a50e474.png │ │ ├── pasqualet27338a50e474.txt │ │ ├── pasqualet7619f9d9b16f.png │ │ ├── pasqualet7619f9d9b16f.txt │ │ ├── pere5acdb54262f1.png │ │ ├── pere5acdb54262f1.txt │ │ ├── pere8de326bb9363.png │ │ ├── pere8de326bb9363.txt │ │ ├── pere9abefed26fff.png │ │ ├── pere9abefed26fff.txt │ │ ├── perea1b2b8d6d42a.png │ │ ├── perea1b2b8d6d42a.txt │ │ ├── vampi31da1e13729a.png │ │ ├── vampi31da1e13729a.txt │ │ ├── vampi5a55b65fa9b4.png │ │ ├── vampi5a55b65fa9b4.txt │ │ ├── vampi817e175ba986.png │ │ ├── vampi817e175ba986.txt │ │ ├── vampiec6590e4aed5.png │ │ └── vampiec6590e4aed5.txt ├── hyps │ ├── hyp.finetune.yaml │ ├── hyp.finetune_objects365.yaml │ ├── hyp.scratch-high.yaml │ ├── hyp.scratch-low.yaml │ ├── hyp.scratch-med.yaml │ └── hyp.scratch.yaml └── scripts │ ├── download_weights.sh │ ├── get_coco.sh │ └── get_coco128.sh ├── data_splitter.py ├── detect.py ├── experiments └── graphics_maker_results.ipynb ├── models ├── __init__.py ├── common.py ├── experimental.py ├── hub │ ├── anchors.yaml │ ├── yolov3-spp.yaml │ ├── yolov3-tiny.yaml │ ├── yolov3.yaml │ ├── yolov5-bifpn.yaml │ ├── yolov5-fpn.yaml │ ├── yolov5-p2.yaml │ ├── yolov5-p6.yaml │ ├── yolov5-p7.yaml │ ├── yolov5-panet.yaml │ ├── yolov5l6.yaml │ ├── yolov5m6.yaml │ ├── yolov5n6.yaml │ ├── yolov5s-ghost.yaml │ ├── yolov5s-transformer.yaml │ ├── yolov5s6.yaml │ └── yolov5x6.yaml ├── tf.py ├── yolo.py ├── yolov5m.yaml └── yolov5s.yaml ├── requirements.txt ├── runner_client.py ├── runner_server.py ├── src ├── client.py ├── server.py ├── strategy.py └── utils.py ├── train.py ├── utils ├── __init__.py ├── activations.py ├── augmentations.py ├── autoanchor.py ├── aws │ ├── __init__.py │ ├── mime.sh │ ├── resume.py │ └── userdata.sh ├── callbacks.py ├── datasets.py ├── downloads.py ├── flask_rest_api │ ├── README.md │ ├── example_request.py │ └── restapi.py ├── general.py ├── google_app_engine │ ├── Dockerfile │ ├── additional_requirements.txt │ └── app.yaml ├── loggers │ ├── __init__.py │ └── wandb │ │ ├── README.md │ │ ├── __init__.py │ │ ├── log_dataset.py │ │ ├── sweep.py │ │ ├── sweep.yaml │ │ └── wandb_utils.py ├── loss.py ├── metrics.py ├── plots.py └── torch_utils.py ├── val.py ├── yolo_train_solo.py └── yolov5s.pt /.gitignore: -------------------------------------------------------------------------------- 1 | # Ignore Mac DS_Store files 2 | .DS_Store 3 | 4 | # custom 5 | runs 6 | experiments 7 | experiments.py 8 | documentation 9 | 10 | # Byte-compiled / optimized / DLL files 11 | __pycache__/ 12 | *.py[cod] 13 | *$py.class 14 | 15 | # C extensions 16 | *.so 17 | 18 | # Distribution / packaging 19 | .Python 20 | build/ 21 | develop-eggs/ 22 | dist/ 23 | downloads/ 24 | eggs/ 25 | .eggs/ 26 | lib/ 27 | lib64/ 28 | parts/ 29 | sdist/ 30 | var/ 31 | wheels/ 32 | share/python-wheels/ 33 | *.egg-info/ 34 | .installed.cfg 35 | *.egg 36 | MANIFEST 37 | 38 | # PyInstaller 39 | # Usually these files are written by a python script from a template 40 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 41 | *.manifest 42 | *.spec 43 | 44 | # Installer logs 45 | pip-log.txt 46 | pip-delete-this-directory.txt 47 | 48 | # Unit test / coverage reports 49 | htmlcov/ 50 | .tox/ 51 | .nox/ 52 | .coverage 53 | .coverage.* 54 | .cache 55 | nosetests.xml 56 | coverage.xml 57 | *.cover 58 | *.py,cover 59 | .hypothesis/ 60 | .pytest_cache/ 61 | cover/ 62 | 63 | # Translations 64 | *.mo 65 | *.pot 66 | 67 | # Django stuff: 68 | *.log 69 | local_settings.py 70 | db.sqlite3 71 | db.sqlite3-journal 72 | 73 | # Flask stuff: 74 | instance/ 75 | .webassets-cache 76 | 77 | # Scrapy stuff: 78 | .scrapy 79 | 80 | # Sphinx documentation 81 | docs/_build/ 82 | 83 | # PyBuilder 84 | .pybuilder/ 85 | target/ 86 | 87 | # Jupyter Notebook 88 | .ipynb_checkpoints 89 | 90 | # IPython 91 | profile_default/ 92 | ipython_config.py 93 | 94 | # pyenv 95 | # For a library or package, you might want to ignore these files since the code is 96 | # intended to run in multiple environments; otherwise, check them in: 97 | # .python-version 98 | 99 | # pipenv 100 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 101 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 102 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 103 | # install all needed dependencies. 104 | #Pipfile.lock 105 | 106 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 107 | __pypackages__/ 108 | 109 | # Celery stuff 110 | celerybeat-schedule 111 | celerybeat.pid 112 | 113 | # SageMath parsed files 114 | *.sage.py 115 | 116 | # Environments 117 | .env 118 | .venv 119 | env/ 120 | venv/ 121 | ENV/ 122 | env.bak/ 123 | venv.bak/ 124 | 125 | # Spyder project settings 126 | .spyderproject 127 | .spyproject 128 | 129 | # Rope project settings 130 | .ropeproject 131 | 132 | # mkdocs documentation 133 | /site 134 | 135 | # mypy 136 | .mypy_cache/ 137 | .dmypy.json 138 | dmypy.json 139 | 140 | # Pyre type checker 141 | .pyre/ 142 | 143 | # pytype static type analyzer 144 | .pytype/ 145 | 146 | # Cython debug symbols 147 | cython_debug/ -------------------------------------------------------------------------------- /.vscode/launch.json: -------------------------------------------------------------------------------- 1 | { 2 | // Use IntelliSense to learn about possible attributes. 3 | // Hover to view descriptions of existing attributes. 4 | // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 5 | "version": "0.2.0", 6 | "configurations": [ 7 | { 8 | "name": "Python: Archivo actual", 9 | "type": "python", 10 | "request": "launch", 11 | "program": "${file}", 12 | "args": [], 13 | "console": "integratedTerminal" 14 | } 15 | ] 16 | } -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.pythonPath": "venv/bin/python", 3 | "python.linting.enabled": true, 4 | "python.linting.flake8Enabled": true, 5 | "python.linting.flake8Args": [ 6 | "--max-line-length=88", 7 | ], 8 | "python.linting.flake8Path": "./venv/bin/flake8", 9 | "[python]": { 10 | "editor.rulers": [ 11 | 88 12 | ] 13 | }, 14 | "python.analysis.typeCheckingMode": "basic", 15 | "python.formatting.provider": "black", 16 | "editor.formatOnSave": true, 17 | "python.testing.unittestArgs": [ 18 | "-v", 19 | "-s", 20 | "./tests", 21 | "-p", 22 | "*test*.py" 23 | ], 24 | "python.testing.pytestEnabled": false, 25 | "python.testing.nosetestsEnabled": false, 26 | "python.testing.unittestEnabled": true 27 | } -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Federated Learning: Object detection with YOLOv5 2 | 3 | Repository of the conceptual work around Federated Learning to train the object detection model YOLOv5. 4 | 5 | Here you can find the developed code, tests, concept experiments and demos. 6 | 7 | The current repository implements the logic regarding the tasks that the server and clients do. 8 | 9 | ## Clone repository 10 | 11 | ``` 12 | git clone -b develop https://github.com/JQ-MC/object-detection-fedlearn.git fedlearn 13 | cd fedlearn 14 | pip3 install -r requirements.txt 15 | ``` 16 | 17 | 18 | ### venv 19 | 20 | In order to activate `venv` environment, execute the following command from repository root: 21 | ``` 22 | source venv/bin/activate 23 | ``` 24 | 25 | ## Repository folder structure: 26 | - `.vscode`: vscode configuration. 27 | - `data`: datasets and configuration files about the datasets. 28 | - `models`: implemented models and configuration files about the models. 29 | - `src`: source code. 30 | - `client`: implements the logic of the client in FL 31 | - `server`: implements the logic of the server in FL 32 | - `strategy`: implements the strategies that guide the server and the parameters aggregation 33 | - `utils`: custom helper functions 34 | - `data_splitter.py`: Splits a folder of images that follow YOLOv5 guidelines into partitions to try a federated approach to train a model 35 | - `yolo_train_solo.py`: trains yolo in a centralized way 36 | - `runner_client.py`: sets up a client to train the net 37 | - `runner_server.py`: sets up the server to handle the clients 38 | - `utils`: yolo helper functions. 39 | - `detect.py`: used to try the model in the webcam or images 40 | - `train.py`: implements the train pipeline of the model. Adapted to be used through the clients 41 | - `val.py`: implements the validation of the model. Adapted to be used through the server. 42 | 43 | 44 | ## SetUp 45 | Set up a Federated Learning process! 46 | #### Server 47 | 48 | In order to start a Federated Learning training, it is necessary to start the server: 49 | 50 | `python3 runner_server.py --server_address [::]:8080 --rounds 2 --load_params` 51 | 52 | ``` 53 | - server_address: ip of the server 54 | - rounds: number of federated rounds 55 | - loads_params: controls if the server provides the initial parameters or it gets them from a random client (`--no_load_params`) 56 | ``` 57 | **Default useful parameters:** 58 | ``` 59 | - weights: initial weights path. `default=ROOT / "yolov5s.pt"` 60 | - cfg: path to the specifications about the structure of the model to be trained. default="models/yolov5s.yaml" 61 | - hyp: path to the specifications about the hyperparameters of the model. default=ROOT / "data/camacuc2.yaml" 62 | - data: path to the specifications about the data to be trained. default=ROOT / "data/hyps/hyp.scratch.yaml" 63 | ``` 64 | 65 | **Control the number of clients that participate in a Federated training** 66 | ``` 67 | - min_num_clients: Minimum number of available clients required for sampling (default: 2) 68 | - min_sample_size: Minimum number of clients used for fit/evaluate (default: 2) 69 | - sample_fraction: Fraction of available clients used for fit/evaluate (default: 1.0 70 | ``` 71 | 72 | #### Client 73 | 74 | Clients must be created after the server. There must be at least `--min_num_clients` clients, a parameter from the server, to start the training. Defaults to 2. 75 | 76 | `python3 runner_client.py --server_address [::]:8080 --cid 1 --epochs 100` 77 | 78 | ``` 79 | - server_address: ip of the server. if executed in the same machine keep default. If not, check ip address of the server: XXX.XX.X.XX:8080 80 | - cid: client id 81 | - epochs: number of epochs per round 82 | ``` 83 | **Default useful parameters:** 84 | ``` 85 | - weights: initial weights path. `default=ROOT / "yolov5s.pt"` 86 | - cfg: path to the specifications about the structure of the model to be trained. default="models/yolov5s.yaml" 87 | - hyp: path to the specifications about the hyperparameters of the model. default=ROOT / "data/camacuc2.yaml" 88 | - data: path to the specifications about the data to be trained. default=ROOT / "data/hyps/hyp.scratch.yaml" 89 | ``` 90 | 91 | **Memory Handling:** 92 | 93 | In order to reduce the amount of memory in RAM and specially for embedded devices, lowering these parameters may help 94 | 95 | ``` 96 | - img: train, val image size (pixels) 97 | - batch-size: number of images to pass through each batch of an epoch 98 | ``` 99 | 100 | ## Federated Object Detection on the Edge 101 | 102 | This repository is able to run on edge devices such as Raspberry Pi 4 or Pi 3B. 103 | 104 | In order to flash the raspberries follow these tutorials: 105 | * Install 64 bit OS (Tested Bullseye): https://qengineering.eu/install-raspberry-64-os.html 106 | * Install Pytorch and Pytorchvision wheels: https://qengineering.eu/install-pytorch-on-raspberry-pi-4.html 107 | 108 | Then clone the repository and install requirements with pip3. 109 | 110 | It is very important to handle RAM memory. 111 | 112 | ## Run YOLOv5 centralized 113 | 114 | You can run YOLOv5 as the original repository: 115 | 116 | ``` 117 | $ python yolo_train_solo.py --data data/camacuc2.yaml --cfg yolov5s.yaml --weights '' --batch-size 64 118 | yolov5m 40 119 | 24 120 | 16 121 | ``` 122 | 123 | ### Future work 124 | -------------------------------------------------------------------------------- /data/camacuc.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) 3 | # Example usage: python train.py - coco128.yaml 4 | # parent 5 | # ├── yolov5 6 | # └── datasets 7 | # └── coco128 ← downloads here 8 | 9 | 10 | # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] 11 | path: data/datasets/camacuc # dataset root dir 12 | train: images # train images (relative to 'path') 128 images 13 | val: images # val images (relative to 'path') 128 images 14 | test: # test images (optional) 15 | 16 | # Classes 17 | nc: 3 # number of classes 18 | names: ['pinxo', 'cap indi', 'corgelat'] # class names 19 | 20 | 21 | # Download script/URL (optional) 22 | # download: https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip -------------------------------------------------------------------------------- /data/camacuc2.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | # COCO128 dataset https://www.kaggle.com/ultralytics/coco128 (first 128 images from COCO train2017) 3 | # Example usage: python train.py - coco128.yaml 4 | # parent 5 | # ├── yolov5 6 | # └── datasets 7 | # └── coco128 ← downloads here 8 | 9 | 10 | # Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..] 11 | path: data/datasets/camacuc2 # dataset root dir 12 | train: train # train images (relative to 'path') 119 images 13 | val: val # val images (relative to 'path') 40 images 14 | test: # test images (optional) 15 | 16 | # Classes 17 | nc: 13 # number of classes 18 | names: ['boro', 'moro', 'puromoro', 'cap indi','carla aventurera','corgelat','nicasi','blai','pasqualet','quimet','oncle pere','vampi', 'ploramiques'] # class names 19 | 20 | 21 | # Download script/URL (optional) 22 | #download: https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip -------------------------------------------------------------------------------- /data/datasets/camacuc2/classes.txt: -------------------------------------------------------------------------------- 1 | boro 2 | moro 3 | puromoro 4 | cap indi 5 | carla aventurera 6 | corgelat 7 | nicasi 8 | blai 9 | pasqualet 10 | quimet 11 | oncle pere 12 | vampi 13 | ploramiques 14 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro0b8870037f3c.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/train/boro_moro_puromoro0b8870037f3c.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro0b8870037f3c.txt: -------------------------------------------------------------------------------- 1 | 1 0.806624 0.170747 0.167379 0.238402 2 | 1 0.191595 0.893686 0.079772 0.127577 3 | 0 0.411325 0.867268 0.205840 0.224227 4 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro2081d7665ad6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/train/boro_moro_puromoro2081d7665ad6.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro2081d7665ad6.txt: -------------------------------------------------------------------------------- 1 | 1 0.120934 0.368078 0.220651 0.213355 2 | 2 0.258487 0.263029 0.232673 0.180782 3 | 1 0.511315 0.277687 0.157001 0.242671 4 | 1 0.742221 0.295603 0.065771 0.087948 5 | 1 0.279703 0.676303 0.255304 0.140879 6 | 1 0.527935 0.904723 0.166195 0.109121 7 | 1 0.831683 0.925896 0.086280 0.073290 8 | 0 0.857143 0.361156 0.220651 0.122964 9 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro2103f89942f6.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/train/boro_moro_puromoro2103f89942f6.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro2103f89942f6.txt: -------------------------------------------------------------------------------- 1 | 2 0.347923 0.391982 0.194362 0.200445 2 | 2 0.771513 0.136971 0.228487 0.193764 3 | 1 0.132047 0.645880 0.169139 0.164811 4 | 0 0.763353 0.655902 0.224036 0.389755 5 | 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0.066188 0.936803 0.130781 0.111524 4 | 0 0.220893 0.844796 0.132376 0.304833 5 | 0 0.666667 0.266264 0.157895 0.171933 6 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro98f033a08cff.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/train/boro_moro_puromoro98f033a08cff.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoro98f033a08cff.txt: -------------------------------------------------------------------------------- 1 | 0 0.768188 0.774463 0.320970 0.431981 2 | 1 0.827389 0.166468 0.169757 0.220764 3 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromoroa3dddf76eba3.png: 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-------------------------------------------------------------------------------- 1 | 1 0.322440 0.395939 0.095861 0.137056 2 | 0 0.424837 0.324873 0.209150 0.266497 3 | 0 0.098039 0.856599 0.193900 0.269036 4 | 0 0.596950 0.810914 0.250545 0.337563 5 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromorof4f1d7ef77ad.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/train/boro_moro_puromorof4f1d7ef77ad.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/train/boro_moro_puromorof4f1d7ef77ad.txt: -------------------------------------------------------------------------------- 1 | 1 0.819602 0.173302 0.170455 0.206089 2 | 0 0.359730 0.687354 0.216619 0.377049 3 | 0 0.860085 0.785129 0.254261 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-------------------------------------------------------------------------------- 1 | 4 0.222262 0.128453 0.063300 0.137201 2 | 4 0.135846 0.718232 0.253201 0.530387 3 | 4 0.817568 0.703499 0.299431 0.576427 4 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/val/carla_aventurerab5549ac5e1f1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/val/carla_aventurerab5549ac5e1f1.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/val/carla_aventurerab5549ac5e1f1.txt: -------------------------------------------------------------------------------- 1 | 4 0.720256 0.611825 0.146837 0.282776 2 | -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- 1 | 10 0.639509 0.731646 0.267113 0.536709 2 | 10 0.857887 0.289241 0.188988 0.451899 3 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/val/pere8de326bb9363.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/JQ-MC/object-detection-fedlearn/2096ab976598090c5453b3e25334a79379a3377b/data/datasets/camacuc2/val/pere8de326bb9363.png -------------------------------------------------------------------------------- /data/datasets/camacuc2/val/pere8de326bb9363.txt: -------------------------------------------------------------------------------- 1 | 10 0.665852 0.746296 0.326117 0.507407 2 | 10 0.808310 0.279630 0.260475 0.470370 3 | -------------------------------------------------------------------------------- /data/datasets/camacuc2/val/pere9abefed26fff.png: 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Evolution Results 7 | # Generations: 306 8 | # P R mAP.5 mAP.5:.95 box obj cls 9 | # Metrics: 0.6 0.936 0.896 0.684 0.0115 0.00805 0.00146 10 | 11 | lr0: 0.0032 12 | lrf: 0.12 13 | momentum: 0.843 14 | weight_decay: 0.00036 15 | warmup_epochs: 2.0 16 | warmup_momentum: 0.5 17 | warmup_bias_lr: 0.05 18 | box: 0.0296 19 | cls: 0.243 20 | cls_pw: 0.631 21 | obj: 0.301 22 | obj_pw: 0.911 23 | iou_t: 0.2 24 | anchor_t: 2.91 25 | # anchors: 3.63 26 | fl_gamma: 0.0 27 | hsv_h: 0.0138 28 | hsv_s: 0.664 29 | hsv_v: 0.464 30 | degrees: 0.373 31 | translate: 0.245 32 | scale: 0.898 33 | shear: 0.602 34 | perspective: 0.0 35 | flipud: 0.00856 36 | fliplr: 0.5 37 | mosaic: 1.0 38 | mixup: 0.243 39 | copy_paste: 0.0 40 | -------------------------------------------------------------------------------- /data/hyps/hyp.finetune_objects365.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | 3 | lr0: 0.00258 4 | lrf: 0.17 5 | momentum: 0.779 6 | weight_decay: 0.00058 7 | warmup_epochs: 1.33 8 | warmup_momentum: 0.86 9 | warmup_bias_lr: 0.0711 10 | box: 0.0539 11 | cls: 0.299 12 | cls_pw: 0.825 13 | obj: 0.632 14 | obj_pw: 1.0 15 | iou_t: 0.2 16 | anchor_t: 3.44 17 | anchors: 3.2 18 | fl_gamma: 0.0 19 | hsv_h: 0.0188 20 | hsv_s: 0.704 21 | hsv_v: 0.36 22 | degrees: 0.0 23 | translate: 0.0902 24 | scale: 0.491 25 | shear: 0.0 26 | perspective: 0.0 27 | flipud: 0.0 28 | fliplr: 0.5 29 | mosaic: 1.0 30 | mixup: 0.0 31 | copy_paste: 0.0 32 | -------------------------------------------------------------------------------- /data/hyps/hyp.scratch-high.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | # Hyperparameters for high-augmentation COCO training from scratch 3 | # python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300 4 | # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials 5 | 6 | lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3) 7 | lrf: 0.2 # final OneCycleLR learning rate (lr0 * lrf) 8 | momentum: 0.937 # SGD momentum/Adam beta1 9 | weight_decay: 0.0005 # optimizer weight decay 5e-4 10 | warmup_epochs: 3.0 # warmup epochs (fractions ok) 11 | warmup_momentum: 0.8 # warmup initial momentum 12 | warmup_bias_lr: 0.1 # warmup initial bias lr 13 | box: 0.05 # box loss gain 14 | cls: 0.3 # cls loss gain 15 | cls_pw: 1.0 # cls BCELoss positive_weight 16 | obj: 0.7 # obj loss gain (scale with pixels) 17 | obj_pw: 1.0 # obj BCELoss positive_weight 18 | iou_t: 0.20 # IoU training threshold 19 | anchor_t: 4.0 # anchor-multiple threshold 20 | # anchors: 3 # anchors per output layer (0 to ignore) 21 | fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5) 22 | hsv_h: 0.015 # image HSV-Hue augmentation (fraction) 23 | hsv_s: 0.7 # image HSV-Saturation augmentation (fraction) 24 | hsv_v: 0.4 # image HSV-Value augmentation (fraction) 25 | degrees: 0.0 # image rotation (+/- deg) 26 | translate: 0.1 # image translation (+/- fraction) 27 | scale: 0.9 # image scale (+/- gain) 28 | shear: 0.0 # image shear (+/- deg) 29 | perspective: 0.0 # image perspective (+/- fraction), range 0-0.001 30 | flipud: 0.0 # image flip up-down (probability) 31 | fliplr: 0.5 # image flip left-right (probability) 32 | mosaic: 1.0 # image mosaic (probability) 33 | mixup: 0.1 # image mixup (probability) 34 | copy_paste: 0.1 # segment copy-paste (probability) -------------------------------------------------------------------------------- /data/hyps/hyp.scratch-low.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | # Hyperparameters for low-augmentation COCO training from scratch 3 | # python train.py --batch 64 --cfg yolov5n6.yaml --weights '' --data coco.yaml --img 640 --epochs 300 --linear 4 | # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials 5 | 6 | lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3) 7 | lrf: 0.01 # final OneCycleLR learning rate (lr0 * lrf) 8 | momentum: 0.937 # SGD momentum/Adam beta1 9 | weight_decay: 0.0005 # optimizer weight decay 5e-4 10 | warmup_epochs: 3.0 # warmup epochs (fractions ok) 11 | warmup_momentum: 0.8 # warmup initial momentum 12 | warmup_bias_lr: 0.1 # warmup initial bias lr 13 | box: 0.05 # box loss gain 14 | cls: 0.5 # cls loss gain 15 | cls_pw: 1.0 # cls BCELoss positive_weight 16 | obj: 1.0 # obj loss gain (scale with pixels) 17 | obj_pw: 1.0 # obj BCELoss positive_weight 18 | iou_t: 0.20 # IoU training threshold 19 | anchor_t: 4.0 # anchor-multiple threshold 20 | # anchors: 3 # anchors per output layer (0 to ignore) 21 | fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5) 22 | hsv_h: 0.015 # image HSV-Hue augmentation (fraction) 23 | hsv_s: 0.7 # image HSV-Saturation augmentation (fraction) 24 | hsv_v: 0.4 # image HSV-Value augmentation (fraction) 25 | degrees: 0.0 # image rotation (+/- deg) 26 | translate: 0.1 # image translation (+/- fraction) 27 | scale: 0.5 # image scale (+/- gain) 28 | shear: 0.0 # image shear (+/- deg) 29 | perspective: 0.0 # image perspective (+/- fraction), range 0-0.001 30 | flipud: 0.0 # image flip up-down (probability) 31 | fliplr: 0.5 # image flip left-right (probability) 32 | mosaic: 1.0 # image mosaic (probability) 33 | mixup: 0.0 # image mixup (probability) 34 | copy_paste: 0.0 # segment copy-paste (probability) -------------------------------------------------------------------------------- /data/hyps/hyp.scratch-med.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | # Hyperparameters for medium-augmentation COCO training from scratch 3 | # python train.py --batch 32 --cfg yolov5m6.yaml --weights '' --data coco.yaml --img 1280 --epochs 300 4 | # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials 5 | 6 | lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3) 7 | lrf: 0.1 # final OneCycleLR learning rate (lr0 * lrf) 8 | momentum: 0.937 # SGD momentum/Adam beta1 9 | weight_decay: 0.0005 # optimizer weight decay 5e-4 10 | warmup_epochs: 3.0 # warmup epochs (fractions ok) 11 | warmup_momentum: 0.8 # warmup initial momentum 12 | warmup_bias_lr: 0.1 # warmup initial bias lr 13 | box: 0.05 # box loss gain 14 | cls: 0.3 # cls loss gain 15 | cls_pw: 1.0 # cls BCELoss positive_weight 16 | obj: 0.7 # obj loss gain (scale with pixels) 17 | obj_pw: 1.0 # obj BCELoss positive_weight 18 | iou_t: 0.20 # IoU training threshold 19 | anchor_t: 4.0 # anchor-multiple threshold 20 | # anchors: 3 # anchors per output layer (0 to ignore) 21 | fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5) 22 | hsv_h: 0.015 # image HSV-Hue augmentation (fraction) 23 | hsv_s: 0.7 # image HSV-Saturation augmentation (fraction) 24 | hsv_v: 0.4 # image HSV-Value augmentation (fraction) 25 | degrees: 0.0 # image rotation (+/- deg) 26 | translate: 0.1 # image translation (+/- fraction) 27 | scale: 0.9 # image scale (+/- gain) 28 | shear: 0.0 # image shear (+/- deg) 29 | perspective: 0.0 # image perspective (+/- fraction), range 0-0.001 30 | flipud: 0.0 # image flip up-down (probability) 31 | fliplr: 0.5 # image flip left-right (probability) 32 | mosaic: 1.0 # image mosaic (probability) 33 | mixup: 0.1 # image mixup (probability) 34 | copy_paste: 0.0 # segment copy-paste (probability) 35 | -------------------------------------------------------------------------------- /data/hyps/hyp.scratch.yaml: -------------------------------------------------------------------------------- 1 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 2 | # Hyperparameters for COCO training from scratch 3 | # python train.py --batch 40 --cfg yolov5m.yaml --weights '' --data coco.yaml --img 640 --epochs 300 4 | # See tutorials for hyperparameter evolution https://github.com/ultralytics/yolov5#tutorials 5 | 6 | lr0: 0.01 # initial learning rate (SGD=1E-2, Adam=1E-3) 7 | lrf: 0.1 # final OneCycleLR learning rate (lr0 * lrf) 8 | momentum: 0.937 # SGD momentum/Adam beta1 9 | weight_decay: 0.0005 # optimizer weight decay 5e-4 10 | warmup_epochs: 3.0 # warmup epochs (fractions ok) 11 | warmup_momentum: 0.8 # warmup initial momentum 12 | warmup_bias_lr: 0.1 # warmup initial bias lr 13 | box: 0.05 # box loss gain 14 | cls: 0.5 # cls loss gain 15 | cls_pw: 1.0 # cls BCELoss positive_weight 16 | obj: 1.0 # obj loss gain (scale with pixels) 17 | obj_pw: 1.0 # obj BCELoss positive_weight 18 | iou_t: 0.20 # IoU training threshold 19 | anchor_t: 4.0 # anchor-multiple threshold 20 | # anchors: 3 # anchors per output layer (0 to ignore) 21 | fl_gamma: 0.0 # focal loss gamma (efficientDet default gamma=1.5) 22 | hsv_h: 0.015 # image HSV-Hue augmentation (fraction) 23 | hsv_s: 0.7 # image HSV-Saturation augmentation (fraction) 24 | hsv_v: 0.4 # image HSV-Value augmentation (fraction) 25 | degrees: 0.0 # image rotation (+/- deg) 26 | translate: 0.1 # image translation (+/- fraction) 27 | scale: 0.5 # image scale (+/- gain) 28 | shear: 0.0 # image shear (+/- deg) 29 | perspective: 0.0 # image perspective (+/- fraction), range 0-0.001 30 | flipud: 0.0 # image flip up-down (probability) 31 | fliplr: 0.5 # image flip left-right (probability) 32 | mosaic: 1.0 # image mosaic (probability) 33 | mixup: 0.0 # image mixup (probability) 34 | copy_paste: 0.0 # segment copy-paste (probability) 35 | -------------------------------------------------------------------------------- /data/scripts/download_weights.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # YOLOv5 🚀 by Ultralytics, GPL-3.0 license 3 | # Download latest models from https://github.com/ultralytics/yolov5/releases 4 | # Example usage: bash path/to/download_weights.sh 5 | # parent 6 | # └── yolov5 7 | # ├── yolov5s.pt ← downloads here 8 | # ├── yolov5m.pt 9 | # └── ... 10 | 11 | python - <