- 17 10月, 2022 3 次提交
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由 Glenn Jocher 提交于
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由 Glenn Jocher 提交于
* Allow PyTorch Hub results to display in notebooks * fix CI * fix CI * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix CI * fix CI * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix CI * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix CI * fix CI * fix CI * fix CI * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix CI * fix CI * fix CI Co-authored-by:
pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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由 Glenn Jocher 提交于
If a parameter does not fall into any other category Signed-off-by:
Glenn Jocher <glenn.jocher@ultralytics.com> Signed-off-by:
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- 15 10月, 2022 1 次提交
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由 Glenn Jocher 提交于
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- 14 10月, 2022 1 次提交
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由 Glenn Jocher 提交于
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- 13 10月, 2022 3 次提交
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由 Glenn Jocher 提交于
* Update hubconf.py Signed-off-by:
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由 Glenn Jocher 提交于
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由 Vladislav Veklenko 提交于
* update mask2segments and saving results * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update general.py Signed-off-by:
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- 12 10月, 2022 1 次提交
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由 Glenn Jocher 提交于
* Update * Update tutorial.ipynb Signed-off-by:
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- 10 10月, 2022 2 次提交
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由 Glenn Jocher 提交于
Update README.md Signed-off-by:
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由 Glenn Jocher 提交于
* Update * Cleanup
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- 07 10月, 2022 1 次提交
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由 Paul Guerrie 提交于
When running segmentation predict on gpu, the conversion from tensor to numpy fails. Calling `.cpu()` solves this problem. Signed-off-by:
Paul Guerrie <97041392+paulguerrie@users.noreply.github.com> Signed-off-by:
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- 06 10月, 2022 1 次提交
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由 Glenn Jocher 提交于
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- 04 10月, 2022 2 次提交
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由 Glenn Jocher 提交于
* Update export.py Signed-off-by:
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由 pre-commit-ci[bot] 提交于
updates: - [github.com/asottile/pyupgrade: v2.37.3 → v2.38.2](https://github.com/asottile/pyupgrade/compare/v2.37.3...v2.38.2) Co-authored-by:
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- 03 10月, 2022 1 次提交
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由 KristenKehrer 提交于
* Update __init__.py In the Comet logger, when I run train.py, it wants to download the data artifact. It was requiring me to format the 'names' field in the data artifact metadata as a dictionary, so I've changed this so that it also accepts a list. Signed-off-by:
KristenKehrer <34010022+KristenKehrer@users.noreply.github.com> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update utils/loggers/comet/__init__.py Co-authored-by:
Dhruv Nair <dhruv.nair@gmail.com> Signed-off-by:
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- 02 10月, 2022 1 次提交
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由 Glenn Jocher 提交于
Update
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- 01 10月, 2022 1 次提交
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由 Anant Sakhare 提交于
* Added cutout import from utils/augmentations.py to use Cutout Aug in data loader by un-commenting line 679, 680, 681 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ciCo-authored-by:
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- 30 9月, 2022 2 次提交
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由 Glenn Jocher 提交于
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由 Soumik Rakshit 提交于
* disabled upload_dataset flag temporarily due to an artifact related bug * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ciCo-authored-by:
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- 28 9月, 2022 2 次提交
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由 Glenn Jocher 提交于
* Add SegmentationModel unsupported warning Signed-off-by:
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由 Glenn Jocher 提交于
* NMS MPS device wrapper May resolve https://github.com/ultralytics/yolov5/issues/9613Signed-off-by:
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- 27 9月, 2022 4 次提交
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由 Glenn Jocher 提交于
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https://ultralytics.com')`由 Glenn Jocher 提交于
Failing on missing path, i.e. no 'www.' Signed-off-by:
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由 Glenn Jocher 提交于
* Update export.py Usage examples Signed-off-by:
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由 Glenn Jocher 提交于
* Updated Segmentation and Classification usage Signed-off-by:
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- 26 9月, 2022 7 次提交
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由 Glenn Jocher 提交于
Until more ops are fully supported this update will allow for seamless MPS inference (but slower MPS to CPU transfer before NMS, so slower NMS times). Partially resolves https://github.com/ultralytics/yolov5/issues/9596Signed-off-by:
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由 Glenn Jocher 提交于
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由 dependabot[bot] 提交于
Bumps [actions/stale](https://github.com/actions/stale) from 5 to 6. - [Release notes](https://github.com/actions/stale/releases) - [Changelog](https://github.com/actions/stale/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/stale/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/stale dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by:
dependabot[bot] <support@github.com> Signed-off-by:
dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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由 Glenn Jocher 提交于
* #YOLOVISION22 announcement Signed-off-by:
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由 Glenn Jocher 提交于
* Add Paperspace Gradient badges Signed-off-by:
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由 Glenn Jocher 提交于
Update general.py Signed-off-by:
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由 Glenn Jocher 提交于
* Update Comet links Signed-off-by:
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- 25 9月, 2022 5 次提交
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由 Glenn Jocher 提交于
* Update * Update ci-testing.yml Signed-off-by:
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由 Glenn Jocher 提交于
* Add segment line predictions Signed-off-by:
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https://pytorch.org/get-started/locally/由 David A. Macey 提交于
* Update Requirements with PyTorch CUDA Added --extra-index-url https://download.pytorch.org/whl/cu116 URL to requirements file for ease of creating venv with CUDA enabled PyTorch. Otherwise CPU PyTorch is installed an unable to use local GPUs. Signed-off-by:
David A. Macey <davidamacey@gmail.com> * Update requirements.txt Signed-off-by:
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由 Glenn Jocher 提交于
* Update default GitHub assets Signed-off-by:
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由 Forever518 提交于
* Try to fix DDP mAP drop by setting generator's seed to RANK * Fix default activation bug * Update dataloaders.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update dataloaders.py Co-authored-by:
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- 24 9月, 2022 2 次提交
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由 Glenn Jocher 提交于
* Rename scale_coords to scale_boxes * add scale_segments
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由 Gaz Iqbal 提交于
* update coco128-seg comments * Enables detect.py to use Triton for inference Triton Inference Server is an open source inference serving software that streamlines AI inferencing. https://github.com/triton-inference-server/server The user can now provide a "--triton-url" argument to detect.py to use a local or remote Triton server for inference. For e.g., http://localhost:8000 will use http over port 8000 and grpc://localhost:8001 will use grpc over port 8001. Note, it is not necessary to specify a weights file to use Triton. A Triton container can be created by first exporting the Yolov5 model to a Triton supported runtime. Onnx, Torchscript, TensorRT are supported by both Triton and the export.py script. The exported model can then be containerized via the OctoML CLI. See https://github.com/octoml/octo-cli#getting-started for a guide. * added triton client to requirements * fixed support for TFSavedModels in Triton * reverted change * Test CoreML update Signed-off-by:
Gaz Iqbal <giqbal@octoml.ai> Co-authored-by:
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