Pikcel.ai

$ tree --source-code
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   │   ├── Editor/
│   │   │   └── Upload/
│   │   ├── hooks/
│   │   └── App.tsx
│   └── package.json
├── backend/
│   ├── app/
│   │   ├── api/
│   │   │   └── routes.py
│   │   ├── ml/
│   │   │   ├── pipeline.py
│   │   │   └── models/
│   │   └── main.py
│   ├── requirements.txt
│   └── Dockerfile
├── infra/
│   └── terraform/
└── docker-compose.yml

import tensorflow as tf
from fastapi import UploadFile
from app.ml.models import load_enhancement_model

class ImagePipeline:
    def __init__(self):
        self.model = load_enhancement_model("v3-production")
        self.preprocessor = tf.image.ResizeMethod.LANCZOS5

    async def enhance(self, file: UploadFile) -> ProcessedImage:
        raw = await file.read()
        tensor = tf.io.decode_image(raw, channels=3)
        tensor = tf.image.resize(tensor, [1024, 1024])
        enhanced = self.model.predict(tf.expand_dims(tensor, 0))
        return ProcessedImage(
            data=enhanced.numpy(),
            metadata={"original_size": tensor.shape},
        )