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

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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
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4
ultralytics/yolo/v8/classify/train.py
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@ -7,7 +7,7 @@ from ultralytics.nn.tasks import ClassificationModel, attempt_load_one_weight
from ultralytics.yolo import v8
from ultralytics.yolo.data import build_classification_dataloader
from ultralytics.yolo.engine.trainer import BaseTrainer
from ultralytics.yolo.utils import DEFAULT_CFG
from ultralytics.yolo.utils import DEFAULT_CFG, RANK
from ultralytics.yolo.utils.torch_utils import is_parallel, strip_optimizer
@ -23,7 +23,7 @@ class ClassificationTrainer(BaseTrainer):
self.model.names = self.data["names"]
def get_model(self, cfg=None, weights=None, verbose=True):
model = ClassificationModel(cfg, nc=self.data["nc"])
model = ClassificationModel(cfg, nc=self.data["nc"], verbose=verbose and RANK == -1)
if weights:
model.load(weights)

4
ultralytics/yolo/v8/detect/train.py
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@ -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)

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

@ -6,7 +6,7 @@ import torch.nn.functional as F
from ultralytics.nn.tasks import SegmentationModel
from ultralytics.yolo import v8
from ultralytics.yolo.utils import DEFAULT_CFG
from ultralytics.yolo.utils import DEFAULT_CFG, RANK
from ultralytics.yolo.utils.ops import crop_mask, xyxy2xywh
from ultralytics.yolo.utils.plotting import plot_images, plot_results
from ultralytics.yolo.utils.tal import make_anchors
@ -24,7 +24,7 @@ class SegmentationTrainer(v8.detect.DetectionTrainer):
super().__init__(cfg, overrides)
def get_model(self, cfg=None, weights=None, verbose=True):
model = SegmentationModel(cfg, ch=3, nc=self.data["nc"], verbose=verbose)
model = SegmentationModel(cfg, ch=3, nc=self.data["nc"], verbose=verbose and RANK == -1)
if weights:
model.load(weights)