Commit 54cd7fba authored by Ross Girshick's avatar Ross Girshick
Browse files

fix the rng seed for caffe (not just numpy); option to randomize training

parent 4e50be95
......@@ -225,6 +225,9 @@ Test output is written underneath `$FRCN_ROOT/output`.
### Experiment scripts
Scripts to reproduce the experiments in the paper (*up to stochastic variation*) are provided in `$FRCN_ROOT/experiments/scripts`. Log files for experiments are located in `experiments/logs`.
**Note:** Until recently (commit a566e39), the RNG seed for Caffe was not fixed during training. Now it's fixed, unless `` is called with the `--rand` flag.
Results generated before this commit will have some stochastic variation.
### Extra downloads
- [Experiment logs](
Subproject commit 832bbcba5261a34c08916199e4ec91377ff7a4fb
Subproject commit cf9235a98680ffa3786957ba82bec9460f7db486
......@@ -24,9 +24,11 @@ def parse_args():
Parse input arguments
parser = argparse.ArgumentParser(description='Train a Fast R-CNN network')
parser.add_argument('--gpu', dest='gpu_id', help='GPU device id to use [0]',
parser.add_argument('--gpu', dest='gpu_id',
help='GPU device id to use [0]',
default=0, type=int)
parser.add_argument('--solver', dest='solver', help='solver prototxt',
parser.add_argument('--solver', dest='solver',
help='solver prototxt',
default=None, type=str)
parser.add_argument('--iters', dest='max_iters',
help='number of iterations to train',
......@@ -35,10 +37,14 @@ def parse_args():
help='initialize with pretrained model weights',
default=None, type=str)
parser.add_argument('--cfg', dest='cfg_file',
help='optional config file', default=None, type=str)
help='optional config file',
default=None, type=str)
parser.add_argument('--imdb', dest='imdb_name',
help='dataset to train on',
default='voc_2007_trainval', type=str)
parser.add_argument('--rand', dest='randomize',
help='randomize (do not use a fixed seed)',
if len(sys.argv) == 1:
......@@ -59,8 +65,10 @@ if __name__ == '__main__':
print('Using config:')
# fix the random seed for reproducibility
if not args.randomize:
# fix the random seeds (numpy and caffe) for reproducibility
# set up caffe
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