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HUB setup (#108)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Ayush Chaurasia 2023-01-02 00:51:14 +05:30 • committed by GitHub
parent c6eb6720de
commit 2bc9a5c87e
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16 changed files with 631 additions and 122 deletions
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19
ultralytics/yolo/engine/trainer.py
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@ -21,11 +21,10 @@ from torch.optim import lr_scheduler
from tqdm import tqdm
import ultralytics.yolo.utils as utils
import ultralytics.yolo.utils.callbacks as callbacks
from ultralytics import __version__
from ultralytics.yolo.configs import get_config
from ultralytics.yolo.data.utils import check_dataset, check_dataset_yaml
from ultralytics.yolo.utils import DEFAULT_CONFIG, LOGGER, RANK, TQDM_BAR_FORMAT, colorstr, yaml_save
from ultralytics.yolo.utils import DEFAULT_CONFIG, LOGGER, RANK, TQDM_BAR_FORMAT, callbacks, colorstr, yaml_save
from ultralytics.yolo.utils.checks import check_file, print_args
from ultralytics.yolo.utils.dist import ddp_cleanup, generate_ddp_command
from ultralytics.yolo.utils.files import get_latest_run, increment_path
@ -88,7 +87,7 @@ class BaseTrainer:
self.model = None
self.callbacks = defaultdict(list)
# dirs
# Dirs
project = self.args.project or f"runs/{self.args.task}"
name = self.args.name or f"{self.args.mode}"
self.save_dir = increment_path(Path(project) / name, exist_ok=self.args.exist_ok if RANK in {-1, 0} else True)
@ -104,7 +103,7 @@ class BaseTrainer:
if RANK == -1:
print_args(dict(self.args))
# device
# Device
self.device = utils.torch_utils.select_device(self.args.device, self.batch_size)
self.amp = self.device.type != 'cpu'
self.scaler = amp.GradScaler(enabled=self.amp)
@ -123,7 +122,7 @@ class BaseTrainer:
self.lf = None
self.scheduler = None
# epoch level metrics
# Epoch level metrics
self.best_fitness = None
self.fitness = None
self.loss = None
@ -131,20 +130,20 @@ class BaseTrainer:
self.loss_names = None
self.csv = self.save_dir / 'results.csv'
for callback, func in callbacks.default_callbacks.items():
self.add_callback(callback, func)
# Callbacks
self.callbacks = defaultdict(list, {k: [v] for k, v in callbacks.default_callbacks.items()}) # add callbacks
if RANK in {0, -1}:
callbacks.add_integration_callbacks(self)
def add_callback(self, event: str, callback):
"""
appends the given callback
Appends the given callback. TODO: unused, consider removing
"""
self.callbacks[event].append(callback)
def set_callback(self, event: str, callback):
"""
overrides the existing callbacks with the given callback
Overrides the existing callbacks with the given callback. TODO: unused, consider removing
"""
self.callbacks[event] = [callback]
@ -469,7 +468,7 @@ class BaseTrainer:
self.validator.args.save_json = True
self.metrics = self.validator(model=f)
self.metrics.pop('fitness', None)
self.run_callbacks('on_val_end')
self.run_callbacks('on_fit_epoch_end')
def check_resume(self):
resume = self.args.resume