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ultralytics 8.0.52 reduced TAL CUDA usage and AMP check fix (#1333)

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Co-authored-by: CNH5 <74132034+CNH5@users.noreply.github.com>
Co-authored-by: Huijae Lee <46982469+ZeroAct@users.noreply.github.com>
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This commit is contained in:
Glenn Jocher
2023-03-10 03:27:06 +01:00
committed by GitHub
parent 790f9c067c
commit 177a68b39f
21 changed files with 132 additions and 147 deletions
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ultralytics/yolo/cfg/default.yaml
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@ -17,7 +17,7 @@ cache: False # True/ram, disk or False. Use cache for data loading
device: # device to run on, i.e. cuda device=0 or device=0,1,2,3 or device=cpu
workers: 8 # number of worker threads for data loading (per RANK if DDP)
project: # project name
name: # experiment name
name: # experiment name, results saved to 'project/name' directory
exist_ok: False # whether to overwrite existing experiment
pretrained: False # whether to use a pretrained model
optimizer: SGD # optimizer to use, choices=['SGD', 'Adam', 'AdamW', 'RMSProp']
@ -30,7 +30,6 @@ rect: False # support rectangular training if mode='train', support rectangular
cos_lr: False # use cosine learning rate scheduler
close_mosaic: 10 # disable mosaic augmentation for final 10 epochs
resume: False # resume training from last checkpoint
min_memory: False # minimize memory footprint loss function, choices=[False, True, <roll_out_thr>]
# Segmentation
overlap_mask: True # masks should overlap during training (segment train only)
mask_ratio: 4 # mask downsample ratio (segment train only)