Vehicle Re-Identification
Collection
6 items • Updated
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results = model.train(
data=yaml_path,
epochs=100,
imgsz=640,
batch=96, # bigger batch size
device=0,
project=wandb_project_name,
name=run_name,
save=True,
save_period=10,
patience=10,
workers=16,
optimizer="AdamW",
lr0=1.0e-3, # learning rate used in yolo pretraining
lrf=0.05,
cos_lr=True,
warmup_epochs=3,
weight_decay=5e-4,
amp=True,
close_mosaic=10,
mosaic=1.0,
mixup=0.0,
copy_paste=0.05,
fliplr=0.5,
flipud=0.0,
hsv_h=0.02,
hsv_s=0.7,
hsv_v=0.4,
)