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| author | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-01-27 15:17:45 -0800 |
|---|---|---|
| committer | Evan Shelhamer <shelhamer@imaginarynumber.net> | 2014-01-27 15:17:45 -0800 |
| commit | 47f8f536069be97da7bcd411070a71c6fad25fdb (patch) | |
| tree | be340f9e78621c1b8535c90dfb60ffbdc5a724d9 /python | |
| parent | b31b3167d5d28671f7a90aee47c969c9b51d54f1 (diff) | |
| download | caffeonacl-47f8f536069be97da7bcd411070a71c6fad25fdb.tar.gz caffeonacl-47f8f536069be97da7bcd411070a71c6fad25fdb.tar.bz2 caffeonacl-47f8f536069be97da7bcd411070a71c6fad25fdb.zip | |
replace magic numbers with variable names in comments
Diffstat (limited to 'python')
| -rw-r--r-- | python/caffe/detection/detector.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/python/caffe/detection/detector.py b/python/caffe/detection/detector.py index 26515389..034de3e9 100644 --- a/python/caffe/detection/detector.py +++ b/python/caffe/detection/detector.py @@ -48,7 +48,7 @@ def load_image(filename): filename: string Output: - image: an image of size (256 x 256 x 3) of type uint8. + image: an image of size (IMAGE_DIM x IMAGE_DIM x 3) of type uint8. """ img = skimage.io.imread(filename) if img.ndim == 2: @@ -199,7 +199,7 @@ def assemble_batches(image_fnames, crop_mode='center_only'): Output: df_batches: list of DataFrames, each one of BATCH_SIZE rows. Each row has 'image', 'filename', and 'window' info. - Column 'image' contains (X x 3 x 227 x 227) ndarrays. + Column 'image' contains (X x 3 x CROPPED_DIM x CROPPED_IM) ndarrays. Column 'filename' contains source filenames. If 'filename' is None, then the row is just for padding. |