https://github.com/farhad-here/streamlit-image-processing-pillow

A Streamlit-based image processing tool powered by Pillow. It supports filtering, segmentation, cropping, format analysis, edge detection, background removal, and more all from a user-friendly web UI.
https://github.com/farhad-here/streamlit-image-processing-pillow

background-removal coordinates cropper image-processing io pillow python rembg streamlit

Last synced: about 1 month ago
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A Streamlit-based image processing tool powered by Pillow. It supports filtering, segmentation, cropping, format analysis, edge detection, background removal, and more all from a user-friendly web UI.

• Host: GitHub
• URL: https://github.com/farhad-here/streamlit-image-processing-pillow
• Owner: farhad-here
• License: mit
• Created: 2025-06-09T18:57:20.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-06-09T20:02:33.000Z (about 1 year ago)
• Last Synced: 2025-06-09T21:19:16.609Z (about 1 year ago)
• Topics: background-removal, coordinates, cropper, image-processing, io, pillow, python, rembg, streamlit
• Language: Python
• Homepage:
• Size: 111 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 🖼️ Streamlit Image Processing with Pillow

A powerful and interactive image processing web app built with [Streamlit](https://streamlit.io) and [Pillow (PIL)](https://pillow.readthedocs.io/en/stable/). This tool allows users to upload an image and apply various transformations and filters, including edge detection, segmentation, format analysis, grayscale conversion, cropping, and background removal.

---

## 🚀 Features

- ✅ Upload and display image info (format, size, mode)

- 🔍 Apply Blur and BoxBlur filters

- 🎨 Convert to Grayscale, Smooth, Enhance edges, Emboss

- ✂️ Crop images and save with custom path and name

- 📐 Thresholding and segmentation (Erosion/Dilation)

- 🔄 RGB & CMYK color manipulation

- 🎭 Background removal using `rembg`

- 🌾 Interactive cropping using `streamlit-cropper`

---

## 📦 Installation

1. **Clone the repository**:

   ```bash

   git clone https://github.com/your-username/streamlit-image-processing-pillow.git

   cd streamlit-image-processing-pillow

   ```

2. Create a virtual environment (optional but recommended):

```bash

python -m venv venv

source venv/bin/activate  # On Windows: venv\Scripts\activate

```

3.Install the required libraries:

```bash

pip install -r requirements.txt

```

# 🛠️ Requirements

streamlit

pillow

rembg

streamlit-cropper

# 📷 Screenshots

![i1](https://github.com/user-attachments/assets/17d628e3-a01a-445c-af2c-5c70d6cd0105)

![i2](https://github.com/user-attachments/assets/ebee7f01-b2e4-4f41-977e-0bf76a37e61b)

![i3](https://github.com/user-attachments/assets/1162c8f5-129a-4b1a-ab1b-536154583ad2)

![i3](https://github.com/user-attachments/assets/761d9a10-1b04-44ff-bc2d-783be44379f7)

![i4](https://github.com/user-attachments/assets/e794fcab-2523-4870-aa33-e1f15378f527)

![i5](https://github.com/user-attachments/assets/65d5e956-d369-4590-87ff-0cfbc250fb13)

![i6](https://github.com/user-attachments/assets/2a7eb9c2-8566-4015-b8a9-7c8aac214d94)

# 🛸 Some error if occur:

```bash

ImportError: DLL load failed while importing onnxruntime_pybind11_state: A dynamic link library (DLL) initialization routine failed.

```

```bash

pip uninstall onnxruntime

pip install onnxruntime --upgrade

```

# ✍️ Author

Created by FarhadGaherdoost

For image lovers, researchers, students, and anyone interested in computer vision made simple.