Wheelodex » Projects » luxonis-train

luxonis-train

View on PyPI — Reverse Dependencies (0)

0.0.1 luxonis_train-0.0.1-py3-none-any.whl

Wheel Details

Project: luxonis-train
Version: 0.0.1
Filename: luxonis_train-0.0.1-py3-none-any.whl
Download: [link]
Size: 154802
MD5: 38bbb13cb5c6578e6e7a532075377f02
SHA256: ea407435ce483f2183f753ecd9474ee5ea04a24ebbecb1a69f5f90c293259385
Uploaded: 2024-01-17 17:17:17 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: luxonis-train
Version: 0.0.1
Summary: Luxonis training framework for seamless training of various neural networks.
Author-Email: Luxonis <support[at]luxonis.com>
Maintainer-Email: Luxonis <support[at]luxonis.com>
Project-Url: repository, https://github.com/luxonis/luxonis-train
Project-Url: issues, https://github.com/luxonis/luxonis-train/issues
License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Keywords: ml,training,luxonis,oak
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.10
Requires-Dist: blobconverter (>=1.4.2)
Requires-Dist: lightning (>=2.0.0)
Requires-Dist: luxonis-ml[all] (>=0.0.1)
Requires-Dist: onnx (>=1.12.0)
Requires-Dist: onnxruntime (>=1.13.1)
Requires-Dist: onnxsim (>=0.4.10)
Requires-Dist: optuna (>=3.2.0)
Requires-Dist: psycopg2-binary (>=2.9.1)
Requires-Dist: pycocotools (>=2.0.7)
Requires-Dist: rich (>=13.0.0)
Requires-Dist: s3fs (>=2023.0.0)
Requires-Dist: tensorboard (>=2.10.1)
Requires-Dist: torchvision (>=0.16.0)
Requires-Dist: typer (>=0.9.0)
Requires-Dist: coverage-badge (>=1.1.0); extra == "dev"
Requires-Dist: gdown (>=4.2.0); extra == "dev"
Requires-Dist: pre-commit (>=3.2.1); extra == "dev"
Requires-Dist: opencv-stubs (>=0.0.8); extra == "dev"
Requires-Dist: pytest-cov (>=4.1.0); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 8431 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
luxonis_train/__init__.py sha256=6Wr4WAPqrX2RWSqwlFRi266-KRqUycvEcuDP5RafAec 98
luxonis_train/__main__.py sha256=Vn0Itk_7nm4kg6R7YNyytR7F2Y3odq96JvP6S5kkI7o 6078
luxonis_train/attached_modules/__init__.py sha256=YH1FspRnbBzvIIpmqZEEJCiuG4wDDU1g8R5SciVOe5w 134
luxonis_train/attached_modules/base_attached_module.py sha256=E5caac-CzOtAxX7D-3_Gg7WGZm03cbuYZ3Js6qN0cu0 5709
luxonis_train/attached_modules/losses/__init__.py sha256=5-vFPa8077MjtVwLAEDl2XyEHsAKydXzIHGF6G2zw4I 686
luxonis_train/attached_modules/losses/adaptive_detection_loss.py sha256=xqEtez8URn2KS9ggTQbkaZ3ZtkdmvkSRK300TT2MqqE 8710
luxonis_train/attached_modules/losses/base_loss.py sha256=WeS-YUh3_FrPhbtXKNYojR_Fslvb0dc2gm-LYqDWHGE 1865
luxonis_train/attached_modules/losses/bce_with_logits.py sha256=pBWrSqdBmjRTCcooskn37p2OCdB3GInQL9vIyNchL80 2897
luxonis_train/attached_modules/losses/cross_entropy.py sha256=tjElcA8-9Uf2o92FwA7iDtN-4uh5-oKVm_7AzZcxh-4 1962
luxonis_train/attached_modules/losses/implicit_keypoint_bbox_loss.py sha256=e8jzNeVbmdnk24JbdyAHQFZq3KgAhfZPxhnQ42xvwEc 12976
luxonis_train/attached_modules/losses/keypoint_loss.py sha256=eFBIi90pyZJ_AIzCwh-FHtNpQNIRBsWklOf-Cz1mpew 2583
luxonis_train/attached_modules/losses/sigmoid_focal_loss.py sha256=xUWhRLzcfSnrTl1LLRgE7OBF7MGdyqn2njepcA_bNiI 1317
luxonis_train/attached_modules/losses/smooth_bce_with_logits.py sha256=He5pD9V6vHn0QvuCdh7o6tdmatQboTVWCn3fwJkr7Zs 2802
luxonis_train/attached_modules/losses/softmax_focal_loss.py sha256=dp_KnSA0Yt2DRp5_A8sCViT_FKymFM99Px1fbSctqD8 1666
luxonis_train/attached_modules/metrics/__init__.py sha256=c7LwCZbjaKgb98dangZaK5_LpEoHVBSknMaU_wUeSRM 517
luxonis_train/attached_modules/metrics/base_metric.py sha256=3JWby9D3FEXiGNHxxxJwOGVh5kDvsVnrSPRLBUSfhRo 1978
luxonis_train/attached_modules/metrics/common.py sha256=W15P6tyPqWrJU34YqRKA6KMEbpSqVfDqFb1w935E_3s 2187
luxonis_train/attached_modules/metrics/mean_average_precision.py sha256=mFsfdA-fExgKkUkN890BN6QstZ4se2N7WXcMfyWveok 2316
luxonis_train/attached_modules/metrics/mean_average_precision_keypoints.py sha256=lf5HHdykHAbTFjVsG9jVKFsAtYAXYWh7csbYwqpizic 14742
luxonis_train/attached_modules/metrics/object_keypoint_similarity.py sha256=_XBEvJSMBEzG4IMSXzfrrYrYnrEcRbUV_ktUapTuu2Q 8302
luxonis_train/attached_modules/visualizers/__init__.py sha256=C92m4cAFWuXAzcTEqB_kDVe_kLAGgdH7GTE-umuuWd8 965
luxonis_train/attached_modules/visualizers/base_visualizer.py sha256=muiakk7eqlLcGBjQ3OiZHGIO7ZABRiDoYd0uEsMGdZM 2373
luxonis_train/attached_modules/visualizers/bbox_visualizer.py sha256=uic66EvOugrpGESTOrPOeSDSJJMXIMK3fejKTX0E1CU 7203
luxonis_train/attached_modules/visualizers/classification_visualizer.py sha256=whjI4lbJeQWcS9JZbj3hVopa5mQm5aRAKZfoilLrnAw 3189
luxonis_train/attached_modules/visualizers/keypoint_visualizer.py sha256=F8NEGZ8UqSwLOv35ehhygEoc0PKpk95esHztyrLKciw 4098
luxonis_train/attached_modules/visualizers/multi_visualizer.py sha256=bl6PW_zw17Zou94x5DKAOK8gYkgXw3ferqJjXF7JEQ4 1989
luxonis_train/attached_modules/visualizers/segmentation_visualizer.py sha256=TUjas2IY0qDNwlsFzaXypnxTuhra1427ziL0YQFQG70 4975
luxonis_train/attached_modules/visualizers/utils.py sha256=ikofXl-CVNxc7E8eAOr9fEcATPnZNg2eAVj_FqCNXJs 15583
luxonis_train/callbacks/__init__.py sha256=cu2Emcf-fVZLw7HiLGZUNlUc0t6XS82tBHhoMTmxFjM 936
luxonis_train/callbacks/export_on_train_end.py sha256=Zxh3PXqiAb-PF2uAtE085y7Jczjm1p4DlRucgftTPOY 2571
luxonis_train/callbacks/luxonis_progress_bar.py sha256=W6kMfjsTD3rTcgco8ULYzY4HO6xKWJ89dwK1RdJsOiQ 3867
luxonis_train/callbacks/metadata_logger.py sha256=R9bAKy5z6KySlCuaP9hgmWVfyl5fbizeh3VxmWaI5Wc 2736
luxonis_train/callbacks/module_freezer.py sha256=Q4Kps4J7p5k2gac0_NqvYDATYMeQc8SiqrVngMG3Nkc 1179
luxonis_train/callbacks/test_on_train_end.py sha256=1kNaakYr2IbvEse2TfU4ZcA4aCmvV4q5ZTVa1DGebpM 1615
luxonis_train/callbacks/upload_checkpoint_on_train_end.py sha256=OjoR-TNjr8MgoKjeUv1nhRiuVSUQ_HXxDR20SAjT9N4 1509
luxonis_train/core/__init__.py sha256=R3XJN9ZeBNiABYWiZclsNByGwmsxlnHmY3WvABrEXEo 169
luxonis_train/core/core.py sha256=fsCMJTh9eUmXi1Bug8zO6ANRmoqNH170Yt51mhuPrqs 8829
luxonis_train/core/exporter.py sha256=Xxq7InMJP8YjpLnEyE5tQQCqh2YXGi8Ox43hq0Cr1Fk 8094
luxonis_train/core/inferer.py sha256=DzmQCGIhMX0DIH-ZROBqBBcgCs-4eeQxXIkzWD-Ubdg 2054
luxonis_train/core/trainer.py sha256=I0i0SlHfswWcOBIFYcxgMD73BEJHyAgH2qE0WG1lVX4 3925
luxonis_train/core/tuner.py sha256=mIYzN_aDRgRypeIhMjbW6_JPo5KFQ5uDyVFiBMvhS14 6619
luxonis_train/models/__init__.py sha256=iBnKB3WzVc_xIa18qBeZTZJ9Exvudd6gSM6EbNLeEqM 160
luxonis_train/models/luxonis_model.py sha256=G2laXXs9adV6gWK00tBUvsg9GpJTJboMGngNidHRaUQ 31152
luxonis_train/models/luxonis_output.py sha256=9DvLsaAtKFKwRgMf7fxNnYkCl61Aoksb7yXaJt_bToI 1088
luxonis_train/models/predefined_models/__init__.py sha256=GXpMNmnIPAGP1n1OqVV2XPAhZayEyQejnzHMs6pgUmE 410
luxonis_train/models/predefined_models/base_predefined_model.py sha256=PwT67tZww-CR52VT4fj4ItGFFf1F2ubptF5zEOPmGL4 1369
luxonis_train/models/predefined_models/classification_model.py sha256=EpadxdNjcK0dqcjYX8Rw3UnimkrlR_xIyO1W_TAVT1g 2733
luxonis_train/models/predefined_models/detection_model.py sha256=GOqWEh3neYmdxzSnzkBz290sToy3fTpy3SDcfLfIyS4 2668
luxonis_train/models/predefined_models/keypoint_detection_model.py sha256=TOE8fyr7C-B5bMNqtXTMAAUnQhPfl5VY1aY20lKpzRM 3397
luxonis_train/models/predefined_models/segmentation_model.py sha256=LeHOi7SEXsPYsi58argOnwmii3du0Oq3j6sJvdGcuxM 2619
luxonis_train/nodes/__init__.py sha256=LnqAHGM2HhZDOfsaMOcKT21A_96YkmBnw5Jfl1z2kmI 920
luxonis_train/nodes/base_node.py sha256=oQI3c4cEV4uJt0y2-p59CDH7ZvzOTc8omk-SrTB354Q 14736
luxonis_train/nodes/bisenet_head.py sha256=N2iYqfQIGWHX0U7fEG8jipGPX7A2B11pexqk0p__9Ro 1562
luxonis_train/nodes/classification_head.py sha256=PAN_wyL9oMKLt0amf2btvsHZ4HEEYeazAFcjE2k9510 960
luxonis_train/nodes/contextspatial.py sha256=z50qzWoFz3_rMQn3wGWAWo4Y-IG6N34DG6PX2VpYwt8 3333
luxonis_train/nodes/efficient_bbox_head.py sha256=iBXm1K5nOGJ5VPnxj3qOokY6bgdUodXrMHqyYH3NUlw 5269
luxonis_train/nodes/efficientnet.py sha256=4bMLK46aUKeJhIjYc_xd20qArFSsbdjypbitPOo-stg 1252
luxonis_train/nodes/efficientrep.py sha256=1YusOoYCwJfYnseQbkxMh-HVISfivIXrsAVoqXRbTKg 3693
luxonis_train/nodes/implicit_keypoint_bbox_head.py sha256=g6mxzRAoNuCQgDEphpbKOQqK0YRiSBplcHmXd5I_Hkk 9447
luxonis_train/nodes/micronet.py sha256=olrXNBSPNrLG6z2lrJ1R972KzR-BT4Wu9KHEw3ejD_I 21089
luxonis_train/nodes/mobilenetv2.py sha256=m4UakutFyCfLkOhYS-faUQnvmyjkNNnnMD3v4FBK6Ew 1172
luxonis_train/nodes/mobileone.py sha256=65oc2WSfqHCGbiLCRwlkquqMPtZOblagEOULqiLf0qw 16800
luxonis_train/nodes/reppan_neck.py sha256=bK0Hhq84hAHsMY9XGzrK8WI0rHxl9KpgRyjypIkV1Ow 6040
luxonis_train/nodes/repvgg.py sha256=9Lu9-6OHUykFZvATFriziz5cOWbgwLNV5Ei8VgcPIvc 4865
luxonis_train/nodes/resnet18.py sha256=8fKNp6Y2Ztyvu80oT8pmXqaDdYiyefMPFLVMA629exM 1586
luxonis_train/nodes/rexnetv1.py sha256=VYgh2165wSD10MPjvEKjGGOw_Sw-xUL-AFsCYKYVzdM 6260
luxonis_train/nodes/segmentation_head.py sha256=FIuq2S_Bpz2iyDkvbl2X2ucjO8fMvFeudaMHIE3uj4k 1618
luxonis_train/nodes/activations/__init__.py sha256=TVkntXojkkjmJFEQjUJXYBJhF4EfkbHpi1nRDHLycsE 76
luxonis_train/nodes/activations/activations.py sha256=2lSKpteSrx5aUge9dQjEGmBooKle5DTDM6xxpvdtClU 684
luxonis_train/nodes/blocks/__init__.py sha256=wJ2pBGofrQgWUG6Ac8LsVlG_hpJWnicX6LjgUyjQiV0 741
luxonis_train/nodes/blocks/blocks.py sha256=j2J4u-IGVNsy0297pRcYJDnO6_w_Q4FIHS0ccZaucOc 23746
luxonis_train/utils/__init__.py sha256=WNnzMeC_nW2sbh7ONHt0G95W0xxQXPu8lqJFJVQBM_Q 122
luxonis_train/utils/boxutils.py sha256=I6ODEMGjzqpjS3txQ13UWd1iX9UK8ZvcSFoJ6PyGlEs 24508
luxonis_train/utils/config.py sha256=sSlP-ncvrf37kBhmEqLwhUuqASz7wLyFKg3Q2HiKhfI 10010
luxonis_train/utils/general.py sha256=ALa5TNBdnMGQq4LNziVHSnBTJvnZ1ZWdtW9i_HxB1FA 11113
luxonis_train/utils/optimizers.py sha256=JwV6OUiYw0oNBm1fguKsiJGL7KaLYp49QUsMGMx2J1c 362
luxonis_train/utils/registry.py sha256=m-z9tBndXNo5G-InPNjmElnB7gjq6Kbnh5Hpan-Y7KE 765
luxonis_train/utils/schedulers.py sha256=heXpGBQgd5CeqaGWKYirCO3PJhlnbi_NR2mWmU8TEOU 638
luxonis_train/utils/tracker.py sha256=CgSbvs-SLBo-hG9MuILMEDrlnAfGjGq_743XTPfY2Nk 242
luxonis_train/utils/types.py sha256=KcbbJc0lyjZJ4v0sJqP-K8imS1NHQuSc0rNf39Z7cls 2065
luxonis_train/utils/assigners/__init__.py sha256=-AvLrW543p4iP2jsl_f6Lu15gHkQgTSNnVqgGEXVRXA 137
luxonis_train/utils/assigners/atts_assigner.py sha256=Evglz_34RA4WSELhTwESPmgdGvx5cWfCXUtQrqWQjhE 10593
luxonis_train/utils/assigners/tal_assigner.py sha256=bVhz8HA4e1p6ycWttilgUER6Ed715hm0XI2E-tYUtA8 9017
luxonis_train/utils/assigners/utils.py sha256=UzZ9yZT5oQpQmJ2QyZcoDDQ1JOEmgYv5yjetXYm3lBQ 2845
luxonis_train/utils/loaders/__init__.py sha256=88DNFSeODGETClH5zI_JtjF8qPM0iaJNYCnb_Rjku5s 137
luxonis_train/utils/loaders/base_loader.py sha256=qs9_De1YLnqhp0r4aDEiFZr5EPUC-UuxFgvtAGL4xdM 3372
luxonis_train/utils/loaders/luxonis_loader_torch.py sha256=rZFu2nujMvWSCVIzgtkS0XKRwkgB5jEOxtRwJDbwGw0 1121
tests/integration/conftest.py sha256=Y_z3V9D0d_3AzQl7bIKGyZOQ9vUX1pI7CDlDsXk7biU 5195
tests/integration/test_sanity.py sha256=cTPYO0RoC9XtNrpiJbeFN7oyF9366LBdaIqTh99Uwyw 2052
tests/unittests/__init__.py sha256=7AxFazrVMYk26fSF0QfaVJHMXnPFkKZEmMwM1vOpb0s 83
tests/unittests/test_losses/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/unittests/test_losses/test_bce_with_logits_loss.py sha256=8fVbb5Yk_6xaJkeLTdxmjZZmV9O9fBizqGcX6nY4pa8 1823
tests/unittests/test_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
tests/unittests/test_utils/test_boxutils.py sha256=qIv1fyeiS2lPy4k1OU0Pat7MzYMmHy3NZF1VmEka91Y 3490
tests/unittests/test_utils/test_assigners/test_atts_assigner.py sha256=YAeotod7JexJBuVwQ45aDsPxKYCIjdjFvYleN7FAuPs 3388
tests/unittests/test_utils/test_assigners/test_tal_assigner.py sha256=kEd_NNOAowZeAW3FI2mK6dIwO7pzelG6NWG6Q4dnyNw 5581
tests/unittests/test_utils/test_assigners/test_utils.py sha256=S5gu1Smige1Cwe_ltQJ1vOl4-NzrdGDUMyLViIoNyE0 1284
tests/unittests/test_utils/test_loaders/test_base_loader.py sha256=j3MdGo5CZCmArfFU2CJFyE1Df7Ufyo2DdaHg0qH5Z5M 978
tools/main.py sha256=Vn0Itk_7nm4kg6R7YNyytR7F2Y3odq96JvP6S5kkI7o 6078
luxonis_train-0.0.1.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
luxonis_train-0.0.1.dist-info/METADATA sha256=gFtb0emLO8GNDMduL9IyYvoTxdA-UBc9axuUhOt4bkY 22969
luxonis_train-0.0.1.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
luxonis_train-0.0.1.dist-info/entry_points.txt sha256=NCO6jbxoYIpknRb2te77mZapycTex4sXY3yxehq2RRQ 50
luxonis_train-0.0.1.dist-info/top_level.txt sha256=isEdvPBdkn0al7k6ZeJzL0Et7v_XZFi6Pq8YJxzq3eY 26
luxonis_train-0.0.1.dist-info/RECORD — —

top_level.txt

luxonis_train
tests
tools

entry_points.txt

[console_scripts]
luxonis_train = tools.main:main