24 lines
847 B
Python
24 lines
847 B
Python
# Copied from https://github.com/mlcommons/training/blob/637c82f9e699cd6caf108f92efb2c1d446b630e0/single_stage_detector/ssd/presets.py
|
|
|
|
from test.external.mlperf_retinanet import transforms as T
|
|
|
|
class DetectionPresetTrain:
|
|
def __init__(self, data_augmentation, hflip_prob=0.5, mean=(123., 117., 104.)):
|
|
if data_augmentation == 'hflip':
|
|
self.transforms = T.Compose([
|
|
T.RandomHorizontalFlip(p=hflip_prob),
|
|
T.ToTensor(),
|
|
])
|
|
else:
|
|
raise ValueError(f'Unknown data augmentation policy "{data_augmentation}"')
|
|
|
|
def __call__(self, img, target):
|
|
return self.transforms(img, target)
|
|
|
|
|
|
class DetectionPresetEval:
|
|
def __init__(self):
|
|
self.transforms = T.ToTensor()
|
|
|
|
def __call__(self, img, target):
|
|
return self.transforms(img, target) |