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new e242fd2 fix doc (#7780)
e242fd2 is described below
commit e242fd231e667c9d9b0c0fa439afb0c2f2cdcf81
Author: Joshua Z. Zhang <cheungc...@gmail.com>
AuthorDate: Wed Sep 6 15:18:22 2017 -0700
fix doc (#7780)
---
docs/api/python/image.md | 12 ++++++------
src/operator/contrib/multibox_target-inl.h | 2 +-
2 files changed, 7 insertions(+), 7 deletions(-)
diff --git a/docs/api/python/image.md b/docs/api/python/image.md
index 23b5ee3..766a724 100644
--- a/docs/api/python/image.md
+++ b/docs/api/python/image.md
@@ -116,17 +116,17 @@ index_1 label_1 image_path_1
Where `label_N` is a number a of fixed-width vector.
The format of label used in object detection is a variable length vector
```
-A B [header] [(object0), (object1), ... (objectN)]
+A B [extra header] [(object0), (object1), ... (objectN)]
```
-Where A is the width of header, B is the width of each object.
-Header is optional and used for inserting helper information such as (width,
height).
+Where A is the width of header (2 + length of extra header), B is the width of
each object.
+Extra header is optional and used for inserting helper information such as
(width, height).
Each object is usually 5 or 6 numbers describing the object properties, for
example:
[id, xmin, ymin, xmax, ymax, difficulty]
Putting all together, we have a `lst` file for object detection:
```
-0 2 5 640 480 1 0.1 0.2 0.8 0.9 2 0.5 0.3 0.6 0.8 data/xxx.jpg
-1 2 5 480 640 3 0.05 0.16 0.75 0.9 data/xxx.jpg
-2 2 5 500 600 2 0.6 0.1 0.7 0.5 0 0.1 0.3 0.2 0.4 3 0.25 0.25
0.3 0.3 data/xxx.jpg
+0 4 5 640 480 1 0.1 0.2 0.8 0.9 2 0.5 0.3 0.6 0.8 data/xxx.jpg
+1 4 5 480 640 3 0.05 0.16 0.75 0.9 data/yyy.jpg
+2 4 5 500 600 2 0.6 0.1 0.7 0.5 0 0.1 0.3 0.2 0.4 3 0.25 0.25
0.3 0.3 data/zzz.jpg
...
```
diff --git a/src/operator/contrib/multibox_target-inl.h
b/src/operator/contrib/multibox_target-inl.h
index f76df35..872ddde 100644
--- a/src/operator/contrib/multibox_target-inl.h
+++ b/src/operator/contrib/multibox_target-inl.h
@@ -65,7 +65,7 @@ struct MultiBoxTargetParam : public
dmlc::Parameter<MultiBoxTargetParam> {
nnvm::Tuple<float> variances;
DMLC_DECLARE_PARAMETER(MultiBoxTargetParam) {
DMLC_DECLARE_FIELD(overlap_threshold).set_default(0.5f)
- .describe("Anchor-GT overlap threshold to be regarded as a possitive
match.");
+ .describe("Anchor-GT overlap threshold to be regarded as a positive
match.");
DMLC_DECLARE_FIELD(ignore_label).set_default(-1.0f)
.describe("Label for ignored anchors.");
DMLC_DECLARE_FIELD(negative_mining_ratio).set_default(-1.0f)
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