Skip to content

The codes include data and data.rec. Based on YoLo-v1 algorithm and 4 existed mxnet symbol to tune a good one.

Notifications You must be signed in to change notification settings

YunchuZhang/single-class-object-detection

Repository files navigation

single-class-object-detection

The codes include data and data.rec. Based on YoLo algorithm and 4 existed model to detect single-class objects.In the code, it builds CNN body and Loss function in MXNET. Also, this code has the function to check tensorboard.

data

You can find the Data.rec file model and para file in those links:

https://drive.google.com/file/d/17upbN20WpzLEGCzFVWJJ1gHlAbXrsopB/view?usp=sharing

https://drive.google.com/open?id=17upbN20WpzLEGCzFVWJJ1gHlAbXrsopB

how to train and test

To train the code, you should use:

python run_train.py

And GPU is needed with Mxnet,maybe you need to change the path of data you load

final test could be used to test the model as below:

image

The revised one which will have the function to detect every object in one picture will be uploaded recently.

end

About

The codes include data and data.rec. Based on YoLo-v1 algorithm and 4 existed mxnet symbol to tune a good one.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published