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| author | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-10-08 19:56:07 -0700 |
|---|---|---|
| committer | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-10-08 19:56:21 -0700 |
| commit | 57d14637d6b337d4a1bb854dcb402c56a6eb44d5 (patch) | |
| tree | 771822f5436eee0815dd099f167891730d9e8769 /examples | |
| parent | 30f3dafa5c0c9c8773f16f9838c48bd795c5d821 (diff) | |
| download | caffeonacl-57d14637d6b337d4a1bb854dcb402c56a6eb44d5.tar.gz caffeonacl-57d14637d6b337d4a1bb854dcb402c56a6eb44d5.tar.bz2 caffeonacl-57d14637d6b337d4a1bb854dcb402c56a6eb44d5.zip | |
[example] fix data script paths for flickr fine-tuning
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/finetune_flickr_style/readme.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/examples/finetune_flickr_style/readme.md b/examples/finetune_flickr_style/readme.md index 4220102e..e0183510 100644 --- a/examples/finetune_flickr_style/readme.md +++ b/examples/finetune_flickr_style/readme.md @@ -34,7 +34,7 @@ All steps are to be done from the caffe root directory. The dataset is distributed as a list of URLs with corresponding labels. Using a script, we will download a small subset of the data and split it into train and val sets. - caffe % ./models/finetune_flickr_style/assemble_data.py -h + caffe % ./examples/finetune_flickr_style/assemble_data.py -h usage: assemble_data.py [-h] [-s SEED] [-i IMAGES] [-w WORKERS] Download a subset of Flickr Style to a directory @@ -48,7 +48,7 @@ Using a script, we will download a small subset of the data and split it into tr num workers used to download images. -x uses (all - x) cores. - caffe % python models/finetune_flickr_style/assemble_data.py --workers=-1 --images=2000 --seed 831486 + caffe % python examples/finetune_flickr_style/assemble_data.py --workers=-1 --images=2000 --seed 831486 Downloading 2000 images with 7 workers... Writing train/val for 1939 successfully downloaded images. |