https://github.com/adhiiisetiawan/pest-recognition-app
Web implementation for insect pest recognition
https://github.com/adhiiisetiawan/pest-recognition-app
computer-vision convolutional-neural-networks streamlit-webapp
Last synced: 3 months ago
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Web implementation for insect pest recognition
- Host: GitHub
- URL: https://github.com/adhiiisetiawan/pest-recognition-app
- Owner: adhiiisetiawan
- Created: 2022-06-17T13:18:17.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2022-06-17T13:55:33.000Z (almost 3 years ago)
- Last Synced: 2025-01-15T07:16:00.048Z (5 months ago)
- Topics: computer-vision, convolutional-neural-networks, streamlit-webapp
- Language: Python
- Homepage:
- Size: 42 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Pest Recognition App
## Quick Start Examples
### Install
Clone this repository and install package in your environment.
```bash
# clone repository
git clone https://github.com/adhiiisetiawan/pest-recognition-app.git
cd pest-recognition-app
# create your environment
python3 -m venv
# activate your environment
source /bin/activate
# install package
pip3 install -r requirements.txt
```
### Run Streamlit App
To run streamlit app, type following script in your terminal _(make sure you in the pest-recognition-app directory)_.
```bash
streamlit run app.py
```
Please wait until the browser open and showed the web app, or if the web don't show, you can click the link that appear in your terminal to open the web app. You can try to do inference using image from `image` directory.