Skip to content

yolo typos fix #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

yolo typos fix #7

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions docs/yolo/yolo.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,7 +38,7 @@ You can print them to the console with::
ln = net.getLayerNames()
print(len(ln), ln)

The 524 elements consist of convolutional layers (``conv``),
The 254 elements consist of convolutional layers (``conv``),
rectifier linear units (``relu``) etc.::

254 ['conv_0', 'bn_0', 'relu_0', 'conv_1', 'bn_1', 'relu_1', 'conv_2', 'bn_2',
Expand All @@ -62,7 +62,7 @@ It has the following parameters:
* the **scale** factor (1/255 to scale the pixel values to [0..1])
* the **size**, here a 416x416 square image
* the **mean** value (default=0)
* the option **swapBR=True** (since OpenCV uses BGR)
* the option **swapRB=True** (since OpenCV uses BGR)

A blob is a 4D numpy array object (images, channels, width, height).
The image below shows the red channel of the blob.
Expand Down Expand Up @@ -148,4 +148,4 @@ Sources
Tutorials:

* https://www.pyimagesearch.com/2017/08/21/deep-learning-with-opencv/
* https://www.learnopencv.com/deep-learning-based-object-detection-using-yolov3-with-opencv-python-c/
* https://www.learnopencv.com/deep-learning-based-object-detection-using-yolov3-with-opencv-python-c/