Skip to content

106062577 翁正欣 #23

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 6 commits into
base: master
Choose a base branch
from
Open

106062577 翁正欣 #23

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
e79adad
Update index.md
wengbrian Oct 12, 2017
41c1644
Update index.md
wengbrian Oct 12, 2017
282eb86
upload train and test notebook
wengbrian Oct 12, 2017
0d7d012
Update index.md
wengbrian Oct 12, 2017
85cc734
Update index.md
wengbrian Oct 12, 2017
0414377
Update index.md
wengbrian Oct 12, 2017
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
62 changes: 34 additions & 28 deletions results/index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,46 +1,52 @@
# Your Name <span style="color:red">(id)</span>
# 翁正欣 <span style="color:red">106062577</span>

#Project 5: Deep Classification

## Overview
The project is related to
> quote

In this project, I implement a model which want to classify objects in a frame captured from video frames, the input is single image, and the output is hand state, object and gesture in image.
* `test_model.ipynb`: test trained CNN model
* `train_CNN.py`: train CNN model

## Implementation
1. One
* item
* item
2. Two

```
Code highlights
```
### Network architecture
![](https://i.imgur.com/18XnIuY.png)
### Training
in all training time, the VGG19 are fixed. The image is randomly fliped in each epoch to make the model generalize well.

## Installation
* Other required packages.
* How to compile from source?

* required package: tensorflow
* download [VGG19 weights](https://mega.nz/#!xZ8glS6J!MAnE91ND_WyfZ_8mvkuSa2YcA7q-1ehfSm-Q1fxOvvs) from [this repository](https://github.com/machrisaa/tensorflow-vgg) and put under parent directory.
* `python train_CNN.py` to train CNN model.

directory tree will look like this:
<pre>
parent_dir/
|-- frames/
|-- labels/
|-- vgg19.npy
`-- this_repository
</pre>
### Results

<table border=1>
<tr>
<th></th>
<th>free v.s. active</th>
<th>gesture</th>
<th>object</th>
</tr>
<tr>
<td>accuracy</td>
<td>0.641672</td>
<td>0.387289</td>
<td>0.352301</td>
</tr>
<!--
<tr>
<td>
<img src="placeholder.jpg" width="24%"/>
<img src="placeholder.jpg" width="24%"/>
<img src="placeholder.jpg" width="24%"/>
<img src="placeholder.jpg" width="24%"/>
</td>
</tr>

<tr>
<td>
<img src="placeholder.jpg" width="24%"/>
<img src="placeholder.jpg" width="24%"/>
<img src="placeholder.jpg" width="24%"/>
<img src="placeholder.jpg" width="24%"/>
</td>
</tr>
</tr> -->

</table>

Expand Down
Loading