Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,26 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- neural_network
|
| 5 |
+
- CNN
|
| 6 |
+
- training_data
|
| 7 |
---
|
| 8 |
+
|
| 9 |
+
# Collision
|
| 10 |
+
|
| 11 |
+
## Intro
|
| 12 |
+
Collision is a simple proof of concept at https://github.com/osick/collision of a neural network detecting collsions of bodies (see the images above). In this setup it can reach an accuracy of about 98% which sounds good, but in fact is not good enough remembering self driving cars ...
|
| 13 |
+
For training, validation and testing it uses abstract Blender generated images (size: 540 x 540 x 3) of cubes.
|
| 14 |
+
Futher it can use an LeNet-5 like architecture (for more see convolutional neural networks on Wikipedia).
|
| 15 |
+
The whole can be used as a template for other CNN projects. Feel free.
|
| 16 |
+
|
| 17 |
+
## The data
|
| 18 |
+
The github repo https://github.com/osick/collision comes with this large data file with thousand of generated images of two cubes in three different categories:
|
| 19 |
+
|
| 20 |
+
* collision: The two cubes toch each other but don't contain themself
|
| 21 |
+
* in: One cube contains the other
|
| 22 |
+
* out: The cubes are separated
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
## More Info
|
| 26 |
+
For more infos see https://github.com/osick/collision
|