Comments (2)
piotr-bojanowski
commented on August 15, 2024
Hi Chang,
The solver I used looked like:
base_lr: 0.002
lr_policy: \"step\"
gamma: 0.1
stepsize: 75000
display: 20
average_loss: 100
momentum: 0.9
weight_decay: 1e-3
snapshot: 9999999
I launched learning with:
python ${TRAIN_SCRIPT} \\
--solver ${JDIR}/solver.prototxt \\
--weights ${MODEL} \\
--imdb ${TRAIN_IMDB} \\
--iters 150000 \\
--cfg ${JDIR}/multiscale.yml \\
--set EXP_DIR ${JDIR} DATA_DIR ${DATA} ROOT_DIR ${JDIR}
with the multiscale.yml as follows:
EXP_DIR: multiscale
TRAIN:
SCALES: !!python/tuple [480, 576, 688, 864, 1200]
MAX_SIZE: 2000
SNAPSHOT_INFIX: multiscale
TEST:
SCALES: !!python/tuple [480, 576, 688, 864, 1200]
MAX_SIZE: 2000
I hope that helps. If not, please reopen the issue.
Best,
Piotr Bojanowski
from deepcluster.
divamgupta
commented on August 15, 2024
@piotr-bojanowski @changliu816 Could you share the training model ( AlexNet + Fast RCNN ) prototxt?
It would be extremely helpful
Thank you
from deepcluster.
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