Refactor code structure for improved readability and maintainability

This commit is contained in:
2026-07-22 22:58:28 +05:30
parent d1308bf149
commit bc8bf2007d
99 changed files with 4784 additions and 111 deletions
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# RunPod Serverless worker: background removal (rembg / U²-Net), CPU-only.
# Slim Python base — NO CUDA — so it never hits the driver/kernel issues the GPU
# models did. rembg pulls opencv (needs libgl1/libglib). Build context = repo root.
FROM python:3.11-slim
ENV PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 libglib2.0-0 && \
rm -rf /var/lib/apt/lists/*
WORKDIR /app
RUN pip install --upgrade pip
COPY workers/bg-remove/requirements.txt .
RUN pip install -r requirements.txt
COPY workers/bg-remove/handler.py .
CMD ["python3", "-u", "handler.py"]
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# Background-removal worker — rembg / U²-Net (CPU)
Replaces the unreliable in-browser @imgly remover with a RunPod endpoint. Set its
`/runsync` URL as **`RUNPOD_BG_REMOVE_URL`**, and turn it on with
**`NEXT_PUBLIC_APG_RUNPOD_BG=true`** (without the flag the app keeps using the
in-browser fallback).
## Contract
`{"input": {"image": "<base64>", "model_name": "u2net"?}}``{"image": "<base64 PNG, transparent background>"}`.
Models: `u2net` (default, general), `u2netp` (lighter), `u2net_human_seg` (people), `isnet-general-use` (sharper edges).
## RunPod setup
1. New Serverless endpoint → connect this repo → **Dockerfile path** `workers/bg-remove/Dockerfile`.
2. Any GPU is fine (it runs on CPU) — pick the cheapest. Max workers ≥ 1.
3. Optional volume to cache the ~170 MB model (`U2NET_HOME``/runpod-volume/u2net`).
4. Copy the `…/runsync` URL → Vercel `RUNPOD_BG_REMOVE_URL`, add `NEXT_PUBLIC_APG_RUNPOD_BG=true`, redeploy.
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"""
RunPod Serverless worker: background removal (U²-Net via rembg).
Replaces the flaky in-browser @imgly remover. Runs rembg on CPU (U²-Net is tiny,
~1-3s) so it needs NO CUDA — it can't hit the driver/kernel problems the GPU
models had, and it's very reliable.
Contract (matches the app's rpRemoveBackground — no app change needed):
{"input": {
"image": "<base64>", # required (raw base64 or data: URI)
"model_name": "u2net" # optional: u2net | u2netp | u2net_human_seg | isnet-general-use
}}
Returns: {"image": "<base64 PNG, RGBA with the background transparent>"}.
"""
import base64
import io
import os
_V = "/runpod-volume"
if os.path.isdir(_V):
os.environ.setdefault("U2NET_HOME", os.path.join(_V, "u2net"))
import runpod # noqa: E402
from PIL import Image # noqa: E402
from rembg import new_session, remove # noqa: E402
DEFAULT_MODEL = os.environ.get("BG_REMOVE_MODEL", "u2net")
_sessions = {}
def _get_session(name):
if name not in _sessions:
_sessions[name] = new_session(name)
return _sessions[name]
def _b64_to_image(data):
if "," in data:
data = data.split(",", 1)[1]
return Image.open(io.BytesIO(base64.b64decode(data))).convert("RGBA")
def _image_to_b64(img):
buf = io.BytesIO()
img.save(buf, format="PNG")
return base64.b64encode(buf.getvalue()).decode("utf-8")
def handler(event):
inp = (event or {}).get("input") or {}
image_b64 = inp.get("image")
if not image_b64:
return {"error": "Missing 'image' (base64)."}
name = (inp.get("model_name") or DEFAULT_MODEL).strip() or DEFAULT_MODEL
try:
img = _b64_to_image(image_b64)
out = remove(img, session=_get_session(name)) # RGBA, background alpha=0
if out.mode != "RGBA":
out = out.convert("RGBA")
return {"image": _image_to_b64(out)}
except Exception as exc:
return {"error": f"{type(exc).__name__}: {exc}"}
runpod.serverless.start({"handler": handler})
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# Background-removal worker (CPU). rembg pulls onnxruntime (CPU) + opencv itself.
rembg==2.0.59
onnxruntime==1.17.3
numpy<2
Pillow==10.4.0
runpod==1.7.9
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{"input": {"image": "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", "model_name": "u2net"}}