https://github.com/youngermaster/cost-performance-ratio-for-object-detection
The idea is to find a cost-performance ratio comparing methods and hardware for object detection, this focused mainly on autonomous driving, and thus find a way to implement autonomous driving at lower costs without losing much accuracy.
https://github.com/youngermaster/cost-performance-ratio-for-object-detection
Last synced: over 1 year ago
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The idea is to find a cost-performance ratio comparing methods and hardware for object detection, this focused mainly on autonomous driving, and thus find a way to implement autonomous driving at lower costs without losing much accuracy.
- Host: GitHub
- URL: https://github.com/youngermaster/cost-performance-ratio-for-object-detection
- Owner: Youngermaster
- License: apache-2.0
- Created: 2022-08-07T15:52:03.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-28T01:04:52.000Z (almost 4 years ago)
- Last Synced: 2025-01-27T09:28:38.123Z (over 1 year ago)
- Language: TeX
- Size: 22.1 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Cost-performance ratio for object detection
The idea is to find a cost-performance ratio comparing methods and hardware for object detection, this focused mainly on autonomous driving, and thus find a way to implement autonomous driving at lower costs without losing much accuracy.
## Folder structure
```shell
.
├── 📂 assignments # Assigments to deliver.
│ ├── assignment_01
│ └── assignment_02
├── 📂 examples # Code examples to test out something quick.
│ └── 🐍 python
├── LICENSE
├── 📂 Technical Report # Development files of the paper.
│ ├── main.pdf # Build of the LaTex paper.
│ ├── main.tex # LaTex main file.
│ └── 📂 Chapters # Different sections of the paper.
└── README.md
```