Delete watermark-remover-free

watermark-remover-free/Dockerfile

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-FROM python:3.11-slim
-
-WORKDIR /app
-COPY requirements.txt ./
-RUN pip install --no-cache-dir -r requirements.txt
-
-COPY server.py ./
-COPY templates ./templates
-COPY static ./static
-
-ENV PORT=7860
-EXPOSE 7860
-
-CMD ["uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860"]

watermark-remover-free/README.md

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-# Watermark Remover (Free Deploy)
-
-This is a free, self-contained web + API for watermark removal using OpenCV inpainting.
-You can deploy **for free** on Hugging Face Spaces (Docker) or run locally.
-
-## Quick Deploy: Hugging Face Spaces (Docker)
-1. Create a new Space -> **Docker**
-2. Upload all files from this zip (`server.py`, `requirements.txt`, `Dockerfile`, `templates/`, `static/`)
-3. Wait for the build to finish. The app will be available at `https://<user>-<space>.hf.space`
-4. API endpoint: `POST /api/remove-watermark` (multipart/form-data)
-
-### API (form-data fields)
-- `image`: file (required)
-- `mask`: file (optional; white=remove, black=keep)
-- `engine`: `opencv` (default) or `lama` (requires LaMa server URL)
-- `method`: `telea` (default) or `ns` (OpenCV only)
-- `radius`: int (OpenCV only; default 3)
-- `auto_mask`: 1 or 0 (default 1)
-
-> Note: LaMa backend is optional and requires a separate running service. For free CPU Spaces, use `opencv`.
-
-## Local Run
-```bash
-pip install -r requirements.txt
-uvicorn server:app --port 7860
-# open http://localhost:7860
-```
-
-## Legal
-Use only on content you have rights to edit.

watermark-remover-free/requirements.txt

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-fastapi==0.112.2
-uvicorn[standard]==0.30.6
-python-multipart==0.0.9
-Jinja2==3.1.4
-opencv-python==4.10.0.84
-numpy==1.26.4
-Pillow==10.4.0
-requests==2.32.3

watermark-remover-free/server.py

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-import io
-import os
-from typing import Optional
-
-import cv2
-import numpy as np
-from PIL import Image
-import requests
-from fastapi import FastAPI, File, Form, UploadFile, HTTPException, Request
-from fastapi.responses import StreamingResponse, HTMLResponse, JSONResponse
-from fastapi.staticfiles import StaticFiles
-from fastapi.templating import Jinja2Templates
-
-app = FastAPI(title="Watermark Remover API")
-
-# Serve static + templates
-app.mount("/static", StaticFiles(directory="static"), name="static")
-templates = Jinja2Templates(directory="templates")
-
-LAMA_URL = os.getenv("LAMA_URL", "http://localhost:5000")  # optional
-
-def read_image_to_cv2(file: UploadFile) -> np.ndarray:
-    data = file.file.read()
-    img_arr = np.frombuffer(data, np.uint8)
-    img = cv2.imdecode(img_arr, cv2.IMREAD_COLOR)
-    if img is None:
-        raise HTTPException(400, detail="Invalid image file")
-    return img
-
-def pil_bytes_from_cv2(img: np.ndarray, fmt: str = "PNG") -> io.BytesIO:
-    img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
-    pil_img = Image.fromarray(img_rgb)
-    buf = io.BytesIO()
-    pil_img.save(buf, format=fmt)
-    buf.seek(0)
-    return buf
-
-def auto_text_mask(img: np.ndarray) -> np.ndarray:
-    """Simple heuristic mask for text/logo-like overlays."""
-    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-    gray = cv2.equalizeHist(gray)
-    mser = cv2.MSER_create(_delta=5, _min_area=60, _max_area=10000)
-    regions, _ = mser.detectRegions(gray)
-    mask = np.zeros(gray.shape, dtype=np.uint8)
-    for p in regions:
-        hull = cv2.convexHull(p.reshape(-1, 1, 2))
-        cv2.drawContours(mask, [hull], -1, 255, thickness=-1)
-    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3))
-    mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel, iterations=1)
-    mask = cv2.dilate(mask, kernel, iterations=1)
-    return mask
-
-def inpaint_opencv(img: np.ndarray, mask: np.ndarray, method: str = "telea", radius: int = 3) -> np.ndarray:
-    flag = cv2.INPAINT_TELEA if method.lower() == "telea" else cv2.INPAINT_NS
-    if mask.ndim == 3:
-        mask = cv2.cvtColor(mask, cv2.COLOR_BGR2GRAY)
-    _, mask_bin = cv2.threshold(mask, 1, 255, cv2.THRESH_BINARY)
-    result = cv2.inpaint(img, mask_bin, radius, flag)
-    return result
-
-def call_lama_server(img: np.ndarray, mask: np.ndarray) -> np.ndarray:
-    if mask.ndim == 3:
-        mask = cv2.cvtColor(mask, cv2.COLOR_BGR2GRAY)
-    _, mask_bin = cv2.threshold(mask, 1, 255, cv2.THRESH_BINARY)
-
-    def to_png_bytes(arr: np.ndarray) -> bytes:
-        a = arr
-        if a.ndim == 2:
-            a = cv2.cvtColor(a, cv2.COLOR_GRAY2BGR)
-        ok, buf = cv2.imencode('.png', a)
-        if not ok:
-            raise HTTPException(500, detail="Encoding error")
-        return buf.tobytes()
-
-    files = {
-        'image': ('image.png', to_png_bytes(img), 'image/png'),
-        'mask': ('mask.png', to_png_bytes(mask_bin), 'image/png'),
-    }
-    data = {'method': 'lama'}
-    try:
-        resp = requests.post(f"{LAMA_URL}/inpaint", data=data, files=files, timeout=120)
-        resp.raise_for_status()
-    except Exception as e:
-        raise HTTPException(502, detail=f"LaMa server error: {e}")
-    nparr = np.frombuffer(resp.content, np.uint8)
-    out = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
-    if out is None:
-        raise HTTPException(502, detail="Invalid response from LaMa server")
-    return out
-
-@app.get("/", response_class=HTMLResponse)
-def index(request: Request):
-    return templates.TemplateResponse("index.html", {"request": request})
-
-@app.get("/health")
-def health():
-    return JSONResponse({"ok": True})
-
-@app.post("/api/remove-watermark")
-def remove_watermark(
-    image: UploadFile = File(...),
-    mask: Optional[UploadFile] = File(None),
-    engine: str = Form("opencv"),  # "opencv" | "lama"
-    method: str = Form("telea"),   # opencv: telea | ns
-    radius: int = Form(3),
-    auto_mask: int = Form(1),      # 1=true, 0=false
-):
-    img = read_image_to_cv2(image)
-
-    if mask is not None:
-        mask_img = read_image_to_cv2(mask)
-    else:
-        mask_img = auto_text_mask(img) if auto_mask else np.zeros(img.shape[:2], dtype=np.uint8)
-
-    if engine == "lama":
-        out = call_lama_server(img, mask_img)
-    else:
-        out = inpaint_opencv(img, mask_img, method=method, radius=radius)
-
-    buf = pil_bytes_from_cv2(out, fmt="PNG")
-    return StreamingResponse(buf, media_type="image/png")

watermark-remover-free/static/style.css

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-body { font-family: system-ui, Arial, sans-serif; padding: 24px; }
-main { max-width: 840px; margin: auto; }
-h1 { margin-bottom: 16px; }
-form label { display: block; margin: 8px 0; }
-.row { display: grid; grid-template-columns: repeat(4, 1fr); gap: 8px; }
-button { padding: 8px 12px; }
-.hidden { display: none; }
-#output img { max-width: 100%; height: auto; margin-top: 12px; border: 1px solid #ddd; }

watermark-remover-free/templates/index.html

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-<!doctype html>
-<html>
-<head>
-  <meta charset="utf-8" />
-  <meta name="viewport" content="width=device-width, initial-scale=1" />
-  <title>Watermark Remover</title>
-  <link rel="stylesheet" href="/static/style.css" />
-</head>
-<body>
-  <main>
-    <h1>Watermark Remover</h1>
-    <form id="form">
-      <label>Image <input type="file" name="image" accept="image/*" required></label>
-      <label>Mask (optional) <input type="file" name="mask" accept="image/*"></label>
-      <div class="row">
-        <label>Engine
-          <select name="engine">
-            <option value="opencv" selected>OpenCV (fast, free)</option>
-            <option value="lama">LaMa (needs separate server)</option>
-          </select>
-        </label>
-        <label>Method
-          <select name="method">
-            <option value="telea" selected>Telea</option>
-            <option value="ns">Navier-Stokes</option>
-          </select>
-        </label>
-        <label>Radius <input type="number" name="radius" value="3" min="1" max="50"></label>
-        <label>Auto Mask <input type="checkbox" name="auto_mask" checked></label>
-      </div>
-      <button type="submit">Remove</button>
-    </form>
-
-    <section id="output" class="hidden">
-      <h2>Result</h2>
-      <img id="result-img" alt="result" />
-      <a id="download" download="result.png">Download</a>
-    </section>
-  </main>
-
-<script>
-const form = document.getElementById('form');
-const out = document.getElementById('output');
-const img = document.getElementById('result-img');
-const dl = document.getElementById('download');
-
-form.addEventListener('submit', async (e) => {
-  e.preventDefault();
-  const data = new FormData(form);
-  data.set('auto_mask', form.auto_mask.checked ? 1 : 0);
-  const res = await fetch('/api/remove-watermark', { method: 'POST', body: data });
-  if (!res.ok) { alert('Failed: ' + res.status); return; }
-  const blob = await res.blob();
-  const url = URL.createObjectURL(blob);
-  img.src = url;
-  dl.href = url;
-  out.classList.remove('hidden');
-});
-</script>
-</body>
-</html>