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add support for multiple frozen layer specifing #6017

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add support for multiple frozen layer specifing #6017

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ec97c76
add support for freeze training
youyuxiansen Dec 16, 2021
585a98d
support specfiy multiple frozen layers
youyuxiansen Dec 17, 2021
04ade6b
support specfiy multiple frozen layers
youyuxiansen Dec 16, 2021
20bb517
Merge branch 'freezeDev' of https://github.com/youyuxiansen/yolov5 in…
youyuxiansen Dec 17, 2021
b683d7f
update freeze augment description
youyuxiansen Dec 17, 2021
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12 changes: 9 additions & 3 deletions train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
device,
callbacks
):
save_dir, epochs, batch_size, weights, single_cls, evolve, data, cfg, resume, noval, nosave, workers, freeze, = \
save_dir, epochs, batch_size, weights, single_cls, evolve, data, cfg, resume, noval, nosave, workers, freeze = \
Path(opt.save_dir), opt.epochs, opt.batch_size, opt.weights, opt.single_cls, opt.evolve, opt.data, opt.cfg, \
opt.resume, opt.noval, opt.nosave, opt.workers, opt.freeze

Expand Down Expand Up @@ -124,7 +124,12 @@ def train(hyp, # path/to/hyp.yaml or hyp dictionary
model = Model(cfg, ch=3, nc=nc, anchors=hyp.get('anchors')).to(device) # create

# Freeze
freeze = [f'model.{x}.' for x in range(freeze)] # layers to freeze
if len(freeze) >= 2:
freeze = freeze.split(',')
freeze = [x.replace(" ", "") for x in freeze]
freeze = [f'model.{x}.' for x in range(int(freeze[0]), int(freeze[1]) + 1)] # layers to freeze
else:
freeze = [f'model.{x}.' for x in range(freeze)]
for k, v in model.named_parameters():
v.requires_grad = True # train all layers
if any(x in k for x in freeze):
Expand Down Expand Up @@ -469,7 +474,8 @@ def parse_opt(known=False):
parser.add_argument('--linear-lr', action='store_true', help='linear LR')
parser.add_argument('--label-smoothing', type=float, default=0.0, help='Label smoothing epsilon')
parser.add_argument('--patience', type=int, default=100, help='EarlyStopping patience (epochs without improvement)')
parser.add_argument('--freeze', type=int, default=0, help='Number of layers to freeze. backbone=10, all=24')
parser.add_argument('--freeze', nargs='+', type=str, default='',
help='Specify the layers that you want to freeze in training. (e.g. 10 represents freeze up to 10, or 1,2,4,6 represents freeze layers 1,2,4,6)')
parser.add_argument('--save-period', type=int, default=-1, help='Save checkpoint every x epochs (disabled if < 1)')
parser.add_argument('--local_rank', type=int, default=-1, help='DDP parameter, do not modify')

Expand Down