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--evolve 300 generations CLI argument #3863

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merged 5 commits into from
Jul 4, 2021
Merged

--evolve 300 generations CLI argument #3863

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6a3e74c
evolve command accepts argument for number of generations
Jul 2, 2021
9e7d5d3
evolve generations argument used in evolve for loop
Jul 2, 2021
98ade07
evolve argument boolean fixes
Jul 2, 2021
56efa66
default to 300 evolve generations
san-soucie Jul 3, 2021
3c8a665
Update train.py
glenn-jocher Jul 4, 2021
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9 changes: 5 additions & 4 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,6 +60,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
save_dir, epochs, batch_size, weights, single_cls, evolve, data, cfg, resume, notest, nosave, workers, = \
opt.save_dir, opt.epochs, opt.batch_size, opt.weights, opt.single_cls, opt.evolve, opt.data, opt.cfg, \
opt.resume, opt.notest, opt.nosave, opt.workers
evolve = evolve is not None

# Directories
save_dir = Path(save_dir)
Expand Down Expand Up @@ -494,7 +495,7 @@ def parse_opt(known=False):
parser.add_argument('--nosave', action='store_true', help='only save final checkpoint')
parser.add_argument('--notest', action='store_true', help='only test final epoch')
parser.add_argument('--noautoanchor', action='store_true', help='disable autoanchor check')
parser.add_argument('--evolve', action='store_true', help='evolve hyperparameters')
parser.add_argument('--evolve', type=int, required=False, help='evolve hyperparameters for this many generations')
parser.add_argument('--bucket', type=str, default='', help='gsutil bucket')
parser.add_argument('--cache-images', action='store_true', help='cache images for faster training')
parser.add_argument('--image-weights', action='store_true', help='use weighted image selection for training')
Expand Down Expand Up @@ -542,7 +543,7 @@ def main(opt):
assert len(opt.cfg) or len(opt.weights), 'either --cfg or --weights must be specified'
opt.img_size.extend([opt.img_size[-1]] * (2 - len(opt.img_size))) # extend to 2 sizes (train, test)
opt.name = 'evolve' if opt.evolve else opt.name
opt.save_dir = str(increment_path(Path(opt.project) / opt.name, exist_ok=opt.exist_ok | opt.evolve))
opt.save_dir = str(increment_path(Path(opt.project) / opt.name, exist_ok=opt.exist_ok | (opt.evolve is None)))

# DDP mode
device = select_device(opt.device, batch_size=opt.batch_size)
Expand All @@ -556,7 +557,7 @@ def main(opt):
assert not opt.image_weights, '--image-weights argument is not compatible with DDP training'

# Train
if not opt.evolve:
if opt.evolve is None:
train(opt.hyp, opt, device)
if WORLD_SIZE > 1 and RANK == 0:
_ = [print('Destroying process group... ', end=''), dist.destroy_process_group(), print('Done.')]
Expand Down Expand Up @@ -603,7 +604,7 @@ def main(opt):
if opt.bucket:
os.system('gsutil cp gs://%s/evolve.txt .' % opt.bucket) # download evolve.txt if exists

for _ in range(300): # generations to evolve
for _ in range(opt.evolve): # generations to evolve
if Path('evolve.txt').exists(): # if evolve.txt exists: select best hyps and mutate
# Select parent(s)
parent = 'single' # parent selection method: 'single' or 'weighted'
Expand Down