File size: 21,362 Bytes
91f053c
 
 
a250d07
 
 
91f053c
 
 
 
 
 
a250d07
 
91f053c
a250d07
91f053c
 
 
 
 
 
 
 
 
 
a250d07
 
91f053c
 
a250d07
 
 
 
 
 
 
91f053c
a250d07
91f053c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a250d07
 
 
 
 
91f053c
 
a250d07
 
91f053c
 
 
a250d07
91f053c
a250d07
91f053c
 
 
 
 
 
 
 
 
a250d07
91f053c
 
 
 
 
 
 
 
 
 
 
a250d07
91f053c
 
 
 
 
 
a250d07
 
91f053c
 
 
 
 
 
 
a250d07
91f053c
a250d07
 
 
 
91f053c
 
 
 
 
a250d07
91f053c
 
 
 
 
 
 
a250d07
91f053c
a250d07
91f053c
 
 
 
 
 
 
 
 
a250d07
 
91f053c
 
 
 
 
 
a250d07
91f053c
 
 
 
 
 
 
 
a250d07
 
 
 
 
 
 
 
 
91f053c
a250d07
 
 
 
 
 
91f053c
a250d07
 
 
 
 
 
 
 
91f053c
 
 
 
 
 
a250d07
 
91f053c
a250d07
91f053c
 
 
 
a250d07
 
91f053c
 
 
 
 
 
 
a250d07
 
91f053c
 
 
 
 
 
 
 
a250d07
 
 
 
 
 
 
91f053c
 
 
a250d07
 
91f053c
 
a250d07
 
91f053c
 
 
 
a250d07
91f053c
 
 
 
 
 
 
 
 
 
a250d07
 
91f053c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
a250d07
 
 
91f053c
 
a250d07
 
 
91f053c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
import hmac
import io
import os
import time
from threading import Lock

from dotenv import load_dotenv
from flask import Flask, jsonify, request, send_file
from PIL import Image, ImageColor, ImageOps, UnidentifiedImageError
from rembg import new_session, remove

load_dotenv()

app = Flask(__name__)
app.config["MAX_CONTENT_LENGTH"] = 12 * 1024 * 1024  # 12 MB upload limit

MODELS = {
    "isnet-general-use": "Quality · ISNet General",
    "u2net": "Balanced · U2Net",
    "u2netp": "Fast · U2NetP",
    "u2net_human_seg": "People · Human Segmentation",
    "isnet-anime": "Anime · ISNet Anime",
}
FORMATS = {"png", "jpg", "webp"}
SESSIONS = {}
SESSION_LOCK = Lock()
RATE_LOCK = Lock()
RATE_BUCKETS = {}
RATE_LIMIT = 8
RATE_WINDOW = 60

INDEX_HTML = r"""
<!doctype html>
<html lang="en">
<head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <title>Background Studio</title>
  <style>
    :root { color-scheme: dark; --bg:#090d18; --panel:#121a2e; --panel2:#18233d; --line:rgba(148,163,184,.2); --text:#f7f9ff; --muted:#95a5c2; --cyan:#43ddc6; --blue:#8298ff; --pink:#ff8eaa; --shadow:0 26px 80px rgba(0,0,0,.32); }
    * { box-sizing:border-box; }
    body { min-height:100vh; margin:0; color:var(--text); font:15px/1.55 Inter,ui-sans-serif,system-ui,-apple-system,"Segoe UI",sans-serif; background:radial-gradient(circle at 12% 0%,rgba(130,152,255,.24),transparent 34rem),radial-gradient(circle at 94% 17%,rgba(67,221,198,.13),transparent 30rem),var(--bg); }
    button,input,select { font:inherit; }
    button { cursor:pointer; }
    .shell { width:min(1180px,calc(100% - 34px)); margin:0 auto; padding:30px 0 58px; }
    .topbar { display:flex; align-items:center; justify-content:space-between; gap:20px; }
    .brand { display:flex; align-items:center; gap:11px; font-weight:850; letter-spacing:.05em; }
    .brand-mark { display:grid; place-items:center; width:39px; height:39px; border-radius:13px; color:#06111b; background:linear-gradient(135deg,var(--cyan),var(--blue)); box-shadow:0 9px 28px rgba(67,221,198,.2); }
    .brand small { display:block; color:var(--muted); font-weight:500; letter-spacing:0; }
    .system { display:inline-flex; align-items:center; gap:8px; color:#b7c6df; font-size:13px; }
    .dot { width:8px; height:8px; border-radius:50%; background:var(--cyan); box-shadow:0 0 13px var(--cyan); }
    .hero { max-width:770px; margin:72px 0 34px; }
    .eyebrow { margin:0 0 13px; color:var(--cyan); font-size:12px; font-weight:850; letter-spacing:.15em; text-transform:uppercase; }
    h1 { margin:0; font-size:clamp(2.7rem,7vw,5.5rem); line-height:.93; letter-spacing:-.075em; }
    .hero p { max-width:650px; margin:22px 0 0; color:var(--muted); font-size:18px; }
    .studio { display:grid; grid-template-columns:380px minmax(0,1fr); gap:18px; align-items:start; }
    .card { border:1px solid var(--line); border-radius:23px; background:rgba(18,26,46,.82); box-shadow:var(--shadow); backdrop-filter:blur(16px); }
    .controls { padding:22px; position:sticky; top:18px; }
    .card-head { display:flex; align-items:center; justify-content:space-between; gap:12px; margin-bottom:20px; font-weight:800; }
    .pill { padding:5px 9px; border:1px solid rgba(67,221,198,.25); border-radius:999px; color:var(--cyan); background:rgba(67,221,198,.08); font-size:11px; font-weight:800; }
    .dropzone { display:grid; place-items:center; min-height:166px; padding:22px; border:1px dashed rgba(130,152,255,.55); border-radius:17px; color:var(--muted); background:rgba(8,13,28,.45); text-align:center; transition:.18s; }
    .dropzone.drag { border-color:var(--cyan); background:rgba(67,221,198,.08); transform:scale(1.01); }
    .upload-icon { display:grid; place-items:center; width:44px; height:44px; margin-bottom:10px; border-radius:14px; color:var(--cyan); background:rgba(67,221,198,.1); font-size:21px; }
    .dropzone strong { display:block; color:var(--text); }
    .dropzone span { display:block; margin-top:4px; font-size:12px; }
    .file-name { overflow:hidden; max-width:100%; margin-top:10px; color:#b8c8ff; text-overflow:ellipsis; white-space:nowrap; }
    .browse { display:inline-block; margin-top:13px; padding:8px 12px; border:1px solid var(--line); border-radius:9px; color:var(--text); background:rgba(130,152,255,.12); cursor:pointer; font-size:12px; font-weight:750; }
    #file { display:none; }
    label { display:block; margin:18px 0 8px; color:#c9d5ec; font-size:11px; font-weight:800; letter-spacing:.09em; text-transform:uppercase; }
    select,input[type=password],input[type=color] { width:100%; padding:11px 12px; border:1px solid var(--line); border-radius:11px; outline:0; color:var(--text); background:rgba(7,12,25,.62); }
    select:focus,input:focus { border-color:var(--blue); box-shadow:0 0 0 4px rgba(130,152,255,.13); }
    input[type=color] { height:42px; padding:5px; }
    .row { display:grid; grid-template-columns:1fr 1fr; gap:10px; }
    .check { display:flex; align-items:center; gap:9px; margin-top:17px; color:#c5d2e9; font-size:13px; }
    .check input { width:16px; height:16px; accent-color:var(--cyan); }
    details { margin-top:14px; color:var(--muted); font-size:12px; }
    summary { cursor:pointer; color:#b8c8ff; font-weight:750; }
    .advanced { display:grid; grid-template-columns:1fr 1fr 1fr; gap:9px; margin-top:10px; }
    .advanced input { padding:8px; font-size:12px; }
    .advanced label { margin:0 0 5px; font-size:10px; }
    .run { width:100%; margin-top:22px; padding:14px 16px; border:0; border-radius:12px; color:#06111b; background:linear-gradient(100deg,var(--cyan),#91a7ff); box-shadow:0 12px 30px rgba(67,221,198,.15); font-weight:850; }
    .run:disabled { opacity:.55; cursor:wait; }
    .status { min-height:21px; margin:13px 0 0; color:var(--muted); font-size:12px; }
    .status.success { color:var(--cyan); }
    .status.error { color:var(--pink); }
    .result { min-width:0; padding:22px; }
    .result-head { display:flex; align-items:center; justify-content:space-between; gap:14px; margin-bottom:18px; }
    .result-head h2 { margin:0; font-size:19px; }
    .result-head span { color:var(--muted); font-size:12px; }
    .empty { display:grid; place-items:center; min-height:500px; border:1px dashed var(--line); border-radius:17px; color:#687995; text-align:center; }
    .empty-icon { margin-bottom:9px; font-size:32px; opacity:.7; }
    .compare-wrap { display:none; }
    .compare-wrap.show { display:block; }
    .compare { position:relative; overflow:hidden; min-height:430px; border:1px solid var(--line); border-radius:17px; background-color:#edf2fa; background-image:linear-gradient(45deg,#dfe6f2 25%,transparent 25%),linear-gradient(-45deg,#dfe6f2 25%,transparent 25%),linear-gradient(45deg,transparent 75%,#dfe6f2 75%),linear-gradient(-45deg,transparent 75%,#dfe6f2 75%); background-position:0 0,0 11px,11px -11px,-11px 0; background-size:22px 22px; }
    .compare img { position:absolute; inset:0; width:100%; height:100%; object-fit:contain; }
    .after-clip { position:absolute; inset:0; clip-path:inset(0 50% 0 0); }
    .divider { position:absolute; top:0; bottom:0; left:50%; width:2px; background:white; box-shadow:0 0 8px rgba(0,0,0,.4); pointer-events:none; }
    .tag { position:absolute; top:13px; z-index:2; padding:5px 8px; border-radius:7px; color:white; background:rgba(5,10,22,.65); font-size:11px; font-weight:800; letter-spacing:.06em; text-transform:uppercase; }
    .tag.before { left:13px; }
    .tag.after { right:13px; }
    .range { width:100%; margin:18px 0 0; accent-color:var(--blue); cursor:ew-resize; }
    .result-actions { display:flex; align-items:center; justify-content:space-between; gap:12px; margin-top:15px; color:var(--muted); font-size:12px; }
    .download { display:none; padding:8px 11px; border:1px solid rgba(67,221,198,.28); border-radius:9px; color:var(--cyan); text-decoration:none; font-weight:800; }
    .download.show { display:inline-block; }
    .hint { margin-top:16px; color:#6e7e9b; font-size:12px; }
    @media (max-width:850px) { .studio{grid-template-columns:1fr;} .controls{position:static;} }
    @media (max-width:540px) { .shell{width:min(100% - 22px,1180px);padding-top:20px;} .system{display:none;} .hero{margin-top:55px;} .row,.advanced{grid-template-columns:1fr;} .compare{min-height:300px;} }
  </style>
</head>
<body>
  <main class="shell">
    <header class="topbar">
      <div class="brand"><span class="brand-mark">✦</span><div>BACKGROUND STUDIO<small>Advanced cutout workspace</small></div></div>
      <div class="system"><span class="dot"></span> CPU processing ready</div>
    </header>
    <section class="hero">
      <p class="eyebrow">Clean edges. Better cutouts.</p>
      <h1>Make the subject stand out.</h1>
      <p>Upload an image, choose the right segmentation model, fine-tune the edges, and download a transparent result.</p>
    </section>
    <section class="studio">
      <aside class="card controls">
        <div class="card-head"><span>Removal settings</span><span class="pill">ADVANCED</span></div>
        <form id="form">
          <div class="dropzone" id="dropzone">
            <div class="upload-icon">↑</div>
            <strong>Drop an image here</strong>
            <span>PNG, JPG, WEBP · up to 12 MB</span>
            <label class="browse" for="file">Choose image</label>
            <input id="file" type="file" accept="image/png,image/jpeg,image/webp">
            <div class="file-name" id="file-name">No file selected</div>
          </div>
          <label for="model">Segmentation model</label>
          <select id="model">
            <option value="isnet-general-use">Quality · ISNet General</option>
            <option value="u2net">Balanced · U2Net</option>
            <option value="u2netp">Fast · U2NetP</option>
            <option value="u2net_human_seg">People · Human Segmentation</option>
            <option value="isnet-anime">Anime · ISNet Anime</option>
          </select>
          <div class="row">
            <div><label for="format">Output</label><select id="format"><option value="png">PNG · transparent</option><option value="webp">WEBP · smaller</option><option value="jpg">JPG · solid background</option></select></div>
            <div><label for="background">JPG background</label><input id="background" type="color" value="#ffffff" title="Used when JPG output is selected"></div>
          </div>
          <label class="check"><input id="matting" type="checkbox"> Enable alpha matting for finer edges</label>
          <details><summary>Fine-tune alpha matting</summary><div class="advanced"><div><label for="foreground">Foreground</label><input id="foreground" type="number" min="0" max="255" value="240"></div><div><label for="threshold">Background</label><input id="threshold" type="number" min="0" max="255" value="10"></div><div><label for="erode">Erode</label><input id="erode" type="number" min="0" max="40" value="10"></div></div></details>
          <label for="api-key">API key <span style="color:var(--muted);font-weight:500;text-transform:none;letter-spacing:0">(optional)</span></label>
          <input id="api-key" type="password" autocomplete="off" placeholder="Only needed if the Space secret is enabled">
          <button class="run" id="run" type="submit">Remove background →</button>
          <div class="status" id="status">Choose an image to begin.</div>
        </form>
      </aside>
      <section class="card result">
        <div class="result-head"><h2>Preview</h2><span id="meta">Before and after comparison</span></div>
        <div class="empty" id="empty"><div><div class="empty-icon">◌</div>Upload an image and your result will appear here.</div></div>
        <div class="compare-wrap" id="compare-wrap">
          <div class="compare" id="compare"><span class="tag before">Original</span><span class="tag after">Cutout</span><img id="before" alt="Original image"><div class="after-clip" id="after-clip"><img id="after" alt="Background removed image"></div><div class="divider" id="divider"></div></div>
          <input class="range" id="range" type="range" min="0" max="100" value="50" aria-label="Compare original and cutout">
          <div class="result-actions"><span id="details">Transparent PNG ready</span><a class="download" id="download" download="background-removed.png">Download result ↓</a></div>
        </div>
        <p class="hint">Tip: use alpha matting when hair, fur, glass, or fine object edges need extra refinement.</p>
      </section>
    </section>
  </main>
  <script>
    const form = document.getElementById('form');
    const fileInput = document.getElementById('file');
    const dropzone = document.getElementById('dropzone');
    const fileName = document.getElementById('file-name');
    const run = document.getElementById('run');
    const status = document.getElementById('status');
    const empty = document.getElementById('empty');
    const wrap = document.getElementById('compare-wrap');
    const before = document.getElementById('before');
    const after = document.getElementById('after');
    const clip = document.getElementById('after-clip');
    const divider = document.getElementById('divider');
    const range = document.getElementById('range');
    const download = document.getElementById('download');
    const details = document.getElementById('details');
    const meta = document.getElementById('meta');
    let originalUrl = null;
    let resultUrl = null;
    function setFile(file) { if (!file) return; fileInput.files = (() => { const dt = new DataTransfer(); dt.items.add(file); return dt.files; })(); fileName.textContent = file.name; status.textContent = 'Ready to process.'; status.className = 'status'; if (originalUrl) URL.revokeObjectURL(originalUrl); originalUrl = URL.createObjectURL(file); before.src = originalUrl; }
    fileInput.addEventListener('change', () => setFile(fileInput.files[0]));
    ['dragenter','dragover'].forEach((event) => dropzone.addEventListener(event, (e) => { e.preventDefault(); dropzone.classList.add('drag'); }));
    ['dragleave','drop'].forEach((event) => dropzone.addEventListener(event, (e) => { e.preventDefault(); dropzone.classList.remove('drag'); }));
    dropzone.addEventListener('drop', (e) => setFile(e.dataTransfer.files[0]));
    function updateCompare() { const value = Number(range.value); clip.style.clipPath = `inset(0 ${100 - value}% 0 0)`; divider.style.left = `${value}%`; }
    range.addEventListener('input', updateCompare);
    form.addEventListener('submit', async (event) => {
      event.preventDefault();
      const file = fileInput.files[0];
      if (!file) { status.textContent = 'Choose an image first.'; status.className = 'status error'; return; }
      run.disabled = true; status.className = 'status'; status.textContent = 'Processing… the first model run may take longer.'; meta.textContent = 'Working on your cutout';
      const outputFormat = document.getElementById('format').value;
      const body = new FormData(); body.append('image', file); body.append('model', document.getElementById('model').value); body.append('format', outputFormat); body.append('background', outputFormat === 'jpg' ? document.getElementById('background').value : 'transparent'); body.append('alpha_matting', document.getElementById('matting').checked ? 'true' : 'false'); body.append('foreground_threshold', document.getElementById('foreground').value); body.append('background_threshold', document.getElementById('threshold').value); body.append('erode_size', document.getElementById('erode').value);
      const apiKey = document.getElementById('api-key').value.trim();
      try {
        const headers = apiKey ? { 'X-API-Key': apiKey } : {};
        const response = await fetch('/remove-bg', { method:'POST', headers, body });
        if (!response.ok) { const data = await response.json().catch(() => ({})); throw new Error(data.error || `Request failed: ${response.status}`); }
        const blob = await response.blob();
        if (resultUrl) URL.revokeObjectURL(resultUrl); resultUrl = URL.createObjectURL(blob); after.src = resultUrl; download.href = resultUrl; download.classList.add('show'); empty.style.display = 'none'; wrap.classList.add('show'); range.value = 50; updateCompare();
        const model = document.getElementById('model').value; const format = outputFormat.toUpperCase(); details.textContent = `${model} · ${format} ready`; meta.textContent = 'Drag the slider to compare'; status.className = 'status success'; status.textContent = 'Background removed successfully.';
      } catch (error) { status.className = 'status error'; status.textContent = error.message; }
      finally { run.disabled = false; }
    });
  </script>
</body>
</html>
"""


def _client_key():
    forwarded = request.headers.get("X-Forwarded-For", "")
    return forwarded.split(",")[0].strip() or request.remote_addr or "unknown"


def _within_rate_limit():
    now = time.time()
    key = _client_key()
    with RATE_LOCK:
        recent = [stamp for stamp in RATE_BUCKETS.get(key, []) if now - stamp < RATE_WINDOW]
        if len(recent) >= RATE_LIMIT:
            RATE_BUCKETS[key] = recent
            return False
        recent.append(now)
        RATE_BUCKETS[key] = recent
        return True


def _check_api_key():
    configured = os.getenv("API_KEY", "").strip()
    if not configured:
        return True
    supplied = request.headers.get("X-API-Key", "")
    return bool(supplied) and hmac.compare_digest(supplied, configured)


def _int_field(name, default, low, high):
    try:
        value = int(request.form.get(name, default))
    except (TypeError, ValueError):
        raise ValueError(f"{name} must be a number")
    return max(low, min(high, value))


def _get_session(model):
    if model not in MODELS:
        raise ValueError("Unknown segmentation model")
    with SESSION_LOCK:
        if model not in SESSIONS:
            SESSIONS[model] = new_session(model)
        return SESSIONS[model]


def _composite(image, color):
    try:
        rgb = ImageColor.getrgb(color)
    except ValueError as exc:
        raise ValueError("Invalid background color") from exc
    background = Image.new("RGBA", image.size, rgb + (255,))
    background.alpha_composite(image.convert("RGBA"))
    return background


@app.get("/")
def home():
    return INDEX_HTML


@app.get("/health")
def health():
    return jsonify({"status": "healthy", "service": "background-studio"}), 200


@app.post("/remove-bg")
def remove_background():
    if not _within_rate_limit():
        return jsonify({"error": "Rate limit reached. Please wait a minute."}), 429
    if not _check_api_key():
        return jsonify({"error": "Invalid or missing API key"}), 401
    if "image" not in request.files:
        return jsonify({"error": "Choose an image file"}), 400

    uploaded = request.files["image"]
    if not uploaded.filename:
        return jsonify({"error": "No image selected"}), 400

    model = request.form.get("model", "isnet-general-use")
    output_format = request.form.get("format", "png").lower()
    background = request.form.get("background", "#ffffff")
    alpha_matting = request.form.get("alpha_matting", "false").lower() == "true"
    if output_format not in FORMATS:
        return jsonify({"error": "Unsupported output format"}), 400

    try:
        image = ImageOps.exif_transpose(Image.open(uploaded.stream))
        image.load()
        if image.width * image.height > 25_000_000:
            return jsonify({"error": "Image dimensions are too large"}), 400
        image = image.convert("RGBA")
        session = _get_session(model)
        output = remove(
            image,
            session=session,
            alpha_matting=alpha_matting,
            alpha_matting_foreground_threshold=_int_field("foreground_threshold", 240, 0, 255),
            alpha_matting_background_threshold=_int_field("background_threshold", 10, 0, 255),
            alpha_matting_erode_size=_int_field("erode_size", 10, 0, 40),
        ).convert("RGBA")

        if output_format == "jpg" or background.lower() != "transparent":
            output = _composite(output, background if background.lower() != "transparent" else "#ffffff")
        if output_format == "jpg":
            output = output.convert("RGB")

        result = io.BytesIO()
        if output_format == "jpg":
            output.save(result, format="JPEG", quality=95, optimize=True)
        elif output_format == "webp":
            output.save(result, format="WEBP", quality=95, method=6)
        else:
            output.save(result, format="PNG", optimize=True)
        result.seek(0)
        return send_file(result, mimetype=f"image/{'jpeg' if output_format == 'jpg' else output_format}", as_attachment=True, download_name=f"background-removed.{output_format}")
    except (UnidentifiedImageError, OSError):
        return jsonify({"error": "The uploaded file is not a readable image"}), 400
    except ValueError as exc:
        return jsonify({"error": str(exc)}), 400
    except Exception:
        app.logger.exception("Background removal failed")
        return jsonify({"error": "Background removal failed. Try a smaller image or another model."}), 500


if __name__ == "__main__":
    app.run(host="0.0.0.0", port=int(os.getenv("PORT", "7860")))