Skip to main content

SEM Image Analysis Tool

Project description

ParticleAnalyzer

Online Demo

ParticleAnalyzer is a computer vision tool for automatic particle segmentation and size analysis in Scanning Electron Microscope (SEM) images.


🎬 Demonstration

Video demonstrations:
▶️ Local video (MP4) | ▶️ YouTube demonstration

Example


🛠 Installation Guide

1. 📥 Install PyTorch with CUDA support

Make sure your system has an NVIDIA GPU with CUDA. Install PyTorch using the appropriate CUDA version (e.g., CUDA 11.8):

pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

If you do not have a CUDA-capable GPU, use the CPU version instead—however, in this case, ParticleAnalyzer will run significantly slower:

pip install torch torchvision torchaudio

🧪 2. Install Detectron2 (Optional)

If you want to enable advanced instance segmentation, install Detectron2:

pip install 'git+https://github.com/facebookresearch/detectron2.git'

[!WARNING] There may be problems installing Detectron2. Use the official documentation.

📦 3. Install ParticleAnalyzer

Finally, install ParticleAnalyzer from PyPI:

pip install --upgrade ParticleAnalyzer

✅ Now you're ready to run the application:

ParticleAnalyzer run

Open in browser: http://127.0.0.1:8000

You can specify the port if necessary:

ParticleAnalyzer run --port 5000

Launch with LLM support (OpenRouter or Hugging Face API key required):

ParticleAnalyzer run --port 5000 --api-key YOUR_OPENROUTER_API_KEY

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

particleanalyzer-0.1.35.tar.gz (120.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

particleanalyzer-0.1.35-py3-none-any.whl (125.5 kB view details)

Uploaded Python 3

File details

Details for the file particleanalyzer-0.1.35.tar.gz.

File metadata

  • Download URL: particleanalyzer-0.1.35.tar.gz
  • Upload date:
  • Size: 120.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for particleanalyzer-0.1.35.tar.gz
Algorithm Hash digest
SHA256 0517a5343978d7f2865d87b4dafe15d257726bd0ef5d9f1dd40729e95327f20c
MD5 609ad79718f681d355eeef60f4595ed6
BLAKE2b-256 fded37995ccf17b5a50b830d54f1c6cfc0f1f8762fdf1a83f7352fb8739ddbd6

See more details on using hashes here.

File details

Details for the file particleanalyzer-0.1.35-py3-none-any.whl.

File metadata

File hashes

Hashes for particleanalyzer-0.1.35-py3-none-any.whl
Algorithm Hash digest
SHA256 af15ca5664a00e17f88fb46128cb9e961877109d586f230edd3bdc9802cdde0e
MD5 87ac3b81b61b16d00bff081d2dc25cb6
BLAKE2b-256 f22da1f4f20a3bfafab2b9d16046c12029374a064610ba5a2c1bf3c44ed73130

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page