https://github.com/jlehrer1/quick_model
Output a .tf model trained to detect images of the object of your choice
https://github.com/jlehrer1/quick_model
classification deep-learning image-classification image-processing python
Last synced: about 7 hours ago
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Output a .tf model trained to detect images of the object of your choice
- Host: GitHub
- URL: https://github.com/jlehrer1/quick_model
- Owner: jlehrer1
- License: gpl-3.0
- Created: 2020-04-29T16:42:53.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-07-04T16:24:21.000Z (almost 6 years ago)
- Last Synced: 2025-01-02T12:27:26.432Z (over 1 year ago)
- Topics: classification, deep-learning, image-classification, image-processing, python
- Language: Python
- Homepage:
- Size: 6.23 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Quick Model
Run from the command line and recieve a saved Tensorflow CNN trained to detect images of the object of your choice!
To make sure you have all required libraries, run
```
pip install -r requirements.txt
```
Or to set up the development environment,
```
conda env create --file environment.yml
```
Usage:
```
model.py
```
Where `params file` is a file containing your Google Custom Search API Key and CX as so:
```
```
Outputs a saved `.tf` model into `model/`