* export.py replace `check_file` -> `check_yaml`
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* Add check_file(data) i.e. `--data coco128.yaml`
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* Dynamic batch size support for TensorRT
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* Update export.py
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* Fix optimization profile when batch size is 1
* Warn users if they use batch-size=1 with dynamic
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* More descriptive assertion error
* Fix syntax
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* pre-commit formatting sucked
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* Update export.py
Co-authored-by: Colin Wong <noreply@brains4drones.com>
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Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Add `--hard-fail` list argument to benchmarks for CI
Will cause CI to fail on a benchmark failure for given indices.
* Update ci-testing.yml
* Attempt Failure (CI should fail)
* Update benchmarks.py
* Update export.py
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* Update benchmarks.py
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* Update ci-testing.yml
* Update benchmarks.py
* Update benchmarks.py
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* Apple Metal Performance Shader (MPS) device support
Following https://pytorch.org/blog/introducing-accelerated-pytorch-training-on-mac/
Should work with Apple M1 devices with PyTorch nightly installed with command `--device mps`. Usage examples:
```bash
python train.py --device mps
python detect.py --device mps
python val.py --device mps
```
* Update device strategy to fix MPS issue
* Write .yaml file when exporting model to openvino
Write .yaml file automatically when exporting model to openvino to be used during inference
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update export.py
* Update export.py
* Load metadata on inference
* Update common.py
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* Removed shell=True from subprocess commands that require user inputs. Also removed unused arguments
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* Added check=True
* Revert line add
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* FROM nvcr.io/nvidia/pytorch:22.04-py3
* Update Docker
* Update Docker
* Update Docker
* Update Docker
* Update TRT auto-install
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* Cleanup
* Cleanup
* Cleanup cpu
* Cleanup cpu
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* disallow dynamic arg when half is given
* Update export.py
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* Autoinstall TensorRT if missing
May resolve https://github.com/ultralytics/yolov5/issues/7464
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* Update export.py
* Update export.py
* Update export.py
* Update export.py
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* add fp16 for coreml using --half
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix
* Cleanup
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* Update export.py
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* Update export.py
Simplify code.
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* enable TensorFlow ops if flag --nms or --agnostic-nms is used
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* Update export.py
* Update export.py
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* Update
* Update
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* precommit: yapf
* align isort
* fix
# Conflicts:
# utils/plots.py
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* Update setup.cfg
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* Update setup.cfg
* Update setup.cfg
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* Update wandb_utils.py
* Update augmentations.py
* Update setup.cfg
* Update yolo.py
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* Update val.py
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* simplify colorstr
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* val run fix
* export.py last comma
* Update export.py
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* Update hubconf.py
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* PyTorch Hub tuple fix
* PyTorch Hub tuple fix2
* PyTorch Hub tuple fix3
* Update setup
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* Sidestep os.path.relpath() Windows bug
os.path.relpath() seems to have a major bug on Windows due to Windows horrible path handling. This fix attempts to sidestep the issue.
```
File "C:\Users\mkokg/.cache\torch\hub\ultralytics_yolov5_master\export.py", line 64, in
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative
File "C:\Users\mkokg\AppData\Local\Programs\Python\Python310\lib\ntpath.py", line 718, in relpath
raise ValueError("path is on mount %r, start on mount %r" % (
ValueError: path is on mount 'C:', start on mount 'D:'
```
* Update yolo.py
* Update yolo.py
* Update yolo.py
* Update export.py
* removed transpose op for better edgetpu support
* fix for training case
* enabled experimental new quantizer flag
* precalculate add and mul ops at compile time
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Glenn Jocher
Colin Wong
daquexian
Sahil Chachra
xylieong
Jaewon Lee
David Matos
Duncan Moss
Cedric Perauer
leeflix
Jirka Borovec
Mrinal Jain
paradigm