https://github.com/edisonslightbulbs/machine-learning-notebook
https://github.com/edisonslightbulbs/machine-learning-notebook
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/edisonslightbulbs/machine-learning-notebook
- Owner: edisonslightbulbs
- Created: 2021-08-28T19:38:33.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-08-28T19:40:57.000Z (over 3 years ago)
- Last Synced: 2025-01-14T09:12:16.387Z (4 months ago)
- Language: Jupyter Notebook
- Size: 85 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Model training using TF's object detection API
Given that this project primarily uses scripts, it's helpful to have an idea of the directory structure.
```
.
├── annotations
├── external
│ ├── labelImg
│ │ ├── build-tools
│ │ ├── data
│ │ ├── demo
│ │ ├── libs
│ │ ├── readme
│ │ ├── requirements
│ │ ├── resources
│ │ ├── tests
│ │ └── tools
│ └── models
│ ├── community
│ ├── official
│ ├── orbit
│ └── research
├── models
│ ├── export
│ └── pretrained
├── records
├── resources
│ └── images
│ ├── test
│ └── train
└── scripts
```
Now that that is out of the way - the project houses three notebooks that build on each other. The notebooks are self-documnting and should be reviewed in the order:
1. [train.ipynb](./train.ipynb)
2. [detect.ipynb](./detect.ipynb)
3. [export.ipynb](./export.ipynb)e