Commit 70432e21 authored by Prieur Maxime's avatar Prieur Maxime 🎵

Update README.md

parent bf962cf0
......@@ -10,18 +10,34 @@ detected on a surveillance camera.
## File on the repository
You can find the keras implementation of the YOLOV3 architecture with the
custom weight obtained by transfer-learning. The dataset wiith the hand made
labels. The presentation and a short document explaining the architecture.
custom weight and anchors obtained by transfer-learning. The dataset with the
hand made labels. The presentation and a short document explaining the
architecture.
## Examples
## User Guide
### Libraries version
### Packages
- Python 3.5.2
- Keras 2.1.5
- tensorflow 1.6.0
### Hardware
- Can be use either with a CPU or GPU (it is quicker with GPU)
### Steps
- Create your virtual env / conda env
- In the keras folder :
<code> python yolo_video.py [OPTIONS...] --image, for image detection mode, OR
python yolo_video.py [video_path] [output_path (optional)]</code>
- You might have to modify the code to analyse custom video...
## Thanks
We would like to thanks the INSA of Rouen and Clément Chatelain our Machine-Learning
teacher for giving us the time and opportunity to work on a project on our own.
## GIT used
[Qqwweee git](https://github.com/qqwweee)
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