https://github.com/mallickboy/snapkit
SnapKit is a lightweight toolkit for everyday image-related tasks in AI, Computer Vision, and ML workflows.
https://github.com/mallickboy/snapkit
Last synced: about 1 month ago
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SnapKit is a lightweight toolkit for everyday image-related tasks in AI, Computer Vision, and ML workflows.
- Host: GitHub
- URL: https://github.com/mallickboy/snapkit
- Owner: mallickboy
- License: mit
- Created: 2025-08-23T16:18:27.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2025-08-23T16:38:29.000Z (about 2 months ago)
- Last Synced: 2025-08-31T09:48:52.628Z (about 1 month ago)
- Language: Python
- Size: 4.88 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SnapKit
SnapKit is a lightweight toolkit for everyday image-related tasks in AI, Computer Vision, and ML workflows.
It provides handy **Python utilities and CLI commands** for faster, repeatable workflows.
---
## 📦 Installation
```bash
pip install snapkit
```
---
## 🚀 Usage
### Python API
```python
from snapkit import jpg_to_png
jpg_to_png(
input_dir="./your_input_dir",
output_dir="./your_output_dir",
max_threads=10 # Optional, defaults to CPU count
)
```
### CLI
```bash
snapkit --help
snapkit jpg-to-png --help
snapkit jpg-to-png --input ./your_input_dir --output ./your_output_dir --threads 10
```
---
## 🛠Development Setup
Clone the repo and create a virtual environment:
```bash
git clone https://github.com/mallickboy/snapkit.git
cd snapkit
python -m venv .venv
source .venv/bin/activate # (Linux/macOS)
.venv\Scripts\activate # (Windows)
pip install -r requirements.txt
```
Build and install locally:
```bash
python setup.py sdist bdist_wheel
pip install dist/snapkit-0.0.2-py3-none-any.whl
```
#### OR simply
```bash
pip install .
```
---
## 📌 Roadmap
- [x] JPG → PNG converter (multi-threaded)
- [ ] Image stitching utilities
- [ ] Visualization & plotting helpers
- [ ] Space/time optimized conversions
- [ ] Extended CLI for common workflows
---
## 📜 License
This project is licensed under the MIT License – see the [LICENSE](LICENSE) file for details.
---
## 👤 Author
Developed by **Tamal Mallick**
GitHub: [mallickboy](https://github.com/mallickboy)