xdobro23/YOLOv8-16bit
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Minor updates and improvements (#216)

Browse Source 
Co-authored-by: Hardik Dava <39372750+hardikdava@users.noreply.github.com>
Co-authored-by: Onuralp Sezer <thunderbirdtr@fedoraproject.org>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-01-11 00:13:44 +01:00
committed by GitHub
parent 959c11b9bc
commit 7f9d7142c2
6 changed files with 21 additions and 20 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
ultralytics/yolo/engine/exporter.py
View File

@ -378,7 +378,7 @@ class Exporter:
LOGGER.info(f'\n{prefix} starting export with coremltools {ct.__version__}...')
f = self.file.with_suffix('.mlmodel')
model = iOSModel(self.model, self.im) if self.args.nms else self.model
model = iOSModel(self.model, self.im).eval() if self.args.nms else self.model
ts = torch.jit.trace(model, self.im, strict=False) # TorchScript model
ct_model = ct.convert(ts, inputs=[ct.ImageType('image', shape=self.im.shape, scale=1 / 255, bias=[0, 0, 0])])
bits, mode = (8, 'kmeans_lut') if self.args.int8 else (16, 'linear') if self.args.half else (32, None)