https://github.com/hanzopgp/jetsonautonomousdriving
Deep learning / Computer vision project about autonomous driving with a NVIDIA Jetson Nano card, a RasberryPi and a robot-car.
https://github.com/hanzopgp/jetsonautonomousdriving
benchmarking convolutional-neural-networks data-acquisition deep-learning deep-learning-pipelines electronics embedded-systems jetson-nano pytorch real-time-video-analysis reinforcement-learning transfer-learning university
Last synced: 2 days ago
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Deep learning / Computer vision project about autonomous driving with a NVIDIA Jetson Nano card, a RasberryPi and a robot-car.
- Host: GitHub
- URL: https://github.com/hanzopgp/jetsonautonomousdriving
- Owner: hanzopgp
- License: mit
- Created: 2022-01-20T15:42:43.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-26T11:38:18.000Z (about 3 years ago)
- Last Synced: 2025-03-05T17:23:59.059Z (3 months ago)
- Topics: benchmarking, convolutional-neural-networks, data-acquisition, deep-learning, deep-learning-pipelines, electronics, embedded-systems, jetson-nano, pytorch, real-time-video-analysis, reinforcement-learning, transfer-learning, university
- Language: Jupyter Notebook
- Homepage:
- Size: 366 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# JetsonAutonomousDriving
## Table of contents
1. [Presentation](#presentation)
2. [Project architecture](#project-architecture)## Presentation
>The objective of this project is to explore the possibilities of NVIDIA's Jetson Nano card for real-time video processing. The idea is to develop a processing chain for the autonomous driving of a small robot-car.
Weekly report : https://www.overleaf.com/read/rnhmbsmgdsfd
## Project architecture
JetsonAutonomousDriving/
├── src/
| ├── tutorial/ (Folder containing CNN/PyTorch tutorials)
| | ├── cnn_pytorch_tutorial/
| | └── kaggle_cnn_pytorch_tutorial/
| ├─── main/
| | ├── model_benchmark/ (Benchmarks of different CNN on Jetson card)
| | | ├── models/ (Folder containing .pth files for each model tested)
| | | └── results.txt (File containing some results and a link to google sheets)
| | ├── model/ (Final model for our project)
| | ├── segmentation/ (Segmentation experimentations)
| | ├── data_acquisition/ (Getting some video data from the robot-car)
| | └── hand_gesture_model/ (Hand gesture experimentations)
| └── robot/ (Folder containing the robot-car scripts)
├── txt/
| ├── subject.pdf (Original subject (in french))
| └── todo.txt
├── assets/ (Additional assets needed for the projects such as Jetson SDK)
├── README.md
└── LICENSE