hsn66/temp

ChromaFix Studio (Python backend)

Personalised colour-blindness correction built from one 3x3 matrix. All linear algebra (simulation matrix S, correction C = I + kT(I-S), determinant, CIE Lab delta-E) runs in NumPy on a Flask server.

Run

pip install -r requirements.txt
python app.py

Open http://127.0.0.1:5000

Structure

app.py              Flask API + NumPy maths + Pillow scene drawing
templates/index.html  thin frontend (sends settings, shows results)

API

POST /api/render  {scene,type,severity,k,T} -> 5 PNG views, matrices, det, pair table, score, hue spectrum
POST /api/pair    {... , p1:[x,y], p2:[x,y]} -> delta-E before/after for two pixels
POST /api/probe   {... , p:[x,y]} -> one pixel in the original / seen / fixed-as-seen views
POST /api/upload  multipart file -> use scene "upload"