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

ultralytics 8.0.54 TFLite export improvements and fixes (#1447)

Browse Source 
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Glenn Jocher
2023-03-16 15:42:44 +01:00
committed by GitHub
parent 30fc4b537f
commit 701fba4770
30 changed files with 198 additions and 166 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
ultralytics/yolo/v8/detect/predict.py
View File

@ -76,7 +76,7 @@ class DetectionPredictor(BasePredictor):
if self.args.save_crop:
save_one_box(d.xyxy,
imc,
file=self.save_dir / 'crops' / self.model.model.names[c] / f'{self.data_path.stem}.jpg',
file=self.save_dir / 'crops' / self.model.names[c] / f'{self.data_path.stem}.jpg',
BGR=True)
return log_string

3
ultralytics/yolo/v8/detect/train.py
View File

@ -58,10 +58,9 @@ class DetectionTrainer(BaseTrainer):
# TODO: self.model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device) * nc
def get_model(self, cfg=None, weights=None, verbose=True):
model = DetectionModel(cfg, ch=3, nc=self.data['nc'], verbose=verbose and RANK == -1)
model = DetectionModel(cfg, nc=self.data['nc'], verbose=verbose and RANK == -1)
if weights:
model.load(weights)
return model
def get_validator(self):