Datasets:
File size: 2,525 Bytes
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'''
NOTE:
adjust this code as needed - the below are parameters for a 8xB200 system
'''
if __name__ == "__main__":
ultralytics.checks()
userName = '{user}'
epochs = 100
# pick and choose what datasets to train - make sure to first run PrepareDatasets.py
dataNames = [
'synetic-train+real-val',
'synetic-train+real-original-val',
'synetic-bg-train+real-val',
'synetic+real',
'synetic-bg-train+real-original-val',
'synetic+real-original',
'real',
'real-original',
'synetic-bg',
'synetic',
]
hyperparams = [
('12', 'n', f'/home/{userName}/datasets/ApplesM5'),
('11', 'n', f'/home/{userName}/datasets/ApplesM5'),
('v8', 'n', f'/home/{userName}/datasets/ApplesM5'),
('v6', 'n', f'/home/{userName}/datasets/ApplesM5'),
('v5', 'n', f'/home/{userName}/datasets/ApplesM5'),
('v3', 'n', f'/home/{userName}/datasets/ApplesM5'),
('rtdetr', '-l', f'/home/{userName}/datasets/ApplesM5')
]
for dataName in dataNames:
for hyperparam in hyperparams:
modelVersion, modelSize, pathDataYaml = hyperparam
pathDataYaml = f'{pathDataYaml}/{dataName}/{dataName}.yaml'
projectName = f'ApplesM5_{modelVersion}{modelSize}'
taskName = 'detect'
if 'rtdetr' in modelVersion:
modelName = f"{modelVersion}{modelSize}.pt"
modelDet = ultralytics.RTDETR(modelName)
else:
modelName = f"yolo{modelVersion}{modelSize}.yaml"
modelDet = ultralytics.YOLO(modelName)
trainName = f'{projectName}-{taskName}-{epochs}_{dataName}_0'
devices = [0, 1, 2, 3, 4, 5, 6, 7]
devicesLen = len(devices)
batchSize = devicesLen * 30 * 2
batchSize = int(batchSize)
results = modelDet.train(
imgsz=640,
name=trainName,
data=pathDataYaml,
task=taskName,
epochs=epochs,
device=devices,
batch=batchSize,
workers=28,
cache='disk',
flipud=0.5,
fliplr=0.5,
hsv_h=0.1,
hsv_s=0.1,
hsv_v=0.1,
mosaic=0.75,
close_mosaic=0,
degrees=45.0,
shear=15.0,
perspective=0.0005,
translate=0.3,
mixup=0.1, # image mixup (probability)
copy_paste=0.1, # segment copy-paste (probability)
auto_augment='randaugment', # (str) auto augmentation policy for classification (randaugment, autoaugment, augmix)
augment=True,
val=True,
)
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