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

Fix yolo checks as a package bug in Colab (#972)

Browse Source 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Sergio Sanchez <sergio.ssm.97@gmail.com>
This commit is contained in:
Glenn Jocher
2023-02-14 19:53:51 +04:00
committed by GitHub
parent bdc6cd4d8b
commit 1ad7e79033
12 changed files with 72 additions and 30 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
ultralytics/yolo/v8/detect/train.py
View File

@ -9,7 +9,7 @@ from ultralytics.yolo import v8
from ultralytics.yolo.data import build_dataloader
from ultralytics.yolo.data.dataloaders.v5loader import create_dataloader
from ultralytics.yolo.engine.trainer import BaseTrainer
from ultralytics.yolo.utils import DEFAULT_CFG, colorstr
from ultralytics.yolo.utils import DEFAULT_CFG, RANK, colorstr
from ultralytics.yolo.utils.loss import BboxLoss
from ultralytics.yolo.utils.ops import xywh2xyxy
from ultralytics.yolo.utils.plotting import plot_images, plot_results
@ -57,7 +57,7 @@ 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)
model = DetectionModel(cfg, ch=3, nc=self.data["nc"], verbose=verbose and RANK == -1)
if weights:
model.load(weights)