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The "fitness" function in train.py. #2303

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snop222 opened this issue Feb 26, 2021 · 4 comments
Closed

The "fitness" function in train.py. #2303

snop222 opened this issue Feb 26, 2021 · 4 comments
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@snop222
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snop222 commented Feb 26, 2021

In the train.py, line 29, as folowing:

from utils.general import labels_to_class_weights, increment_path, labels_to_image_weights, init_seeds, \
fitness, strip_optimizer, get_latest_run, check_dataset, check_file, check_git_status, check_img_size, \
check_requirements, print_mutation, set_logging, one_cycle, colorstr

The "fitness" actually is a function defined in "utils/metrics.py".
Why it is imported "from" by "utils.general" ?
But, the train.py could be running with no error report ?

@snop222 snop222 added the bug Something isn't working label Feb 26, 2021
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@glenn-jocher
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@snop222 fitness() defines a model fitness based on a weighted combination of metrics. We use fitness for hyperparameter evolution and to decide when to save a new best.pt checkpoint.

yolov5/utils/metrics.py

Lines 12 to 16 in efa4946

def fitness(x):
# Model fitness as a weighted combination of metrics
w = [0.0, 0.0, 0.1, 0.9] # weights for [P, R, mAP@0.5, mAP@0.5:0.95]
return (x[:, :4] * w).sum(1)

The function itself is in metrics.py as you noted. In train.py it could be imported directly from metrics.py, it is imported from general.py since it is already available there due to a previous import:

from utils.metrics import fitness

@snop222
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snop222 commented Feb 27, 2021

Thank you vrey much.

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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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