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Add dockerized detector and UI cleanup

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This commit is contained in:
Luna
2026-04-11 16:45:22 +02:00
parent 3b5a9e8635
commit ecbf948a74
7 changed files with 148 additions and 26 deletions
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53
app/main.py
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@@ -2,7 +2,7 @@ from fastapi import FastAPI, File, Form, HTTPException, UploadFile
from fastapi.responses import HTMLResponse, StreamingResponse
from app.config import settings
app = FastAPI(title="face-lock", version="0.1.0")
app = FastAPI(title="face-lock", version="0.2.0")
@app.get("/health")
@@ -25,16 +25,30 @@ def index():
<title>face-lock</title>
</head>
<body class="bg-slate-950 text-slate-100 min-h-screen">
<main class="mx-auto max-w-5xl p-6">
<main class="mx-auto max-w-6xl p-6">
<div class="mb-6">
<h1 class="text-3xl font-bold">face-lock</h1>
<p class="text-slate-400">Drop an image, get the primary subject squared and cropped.</p>
<p class="text-slate-400">Auto-detect the subject, square it up, and crop with buffer.</p>
</div>
<div class="grid gap-6 md:grid-cols-2">
<section class="rounded-2xl border border-slate-800 bg-slate-900 p-4">
<input id="file" type="file" accept="image/*" class="block w-full rounded-lg border border-slate-700 bg-slate-950 p-3" />
<label class="mt-4 block text-sm text-slate-400">Buffer ratio</label>
<input id="buffer_ratio" type="number" step="0.05" min="0" max="0.5" value="0.15" class="block w-full rounded-lg border border-slate-700 bg-slate-950 p-3" />
<label class="block text-sm text-slate-400">Image</label>
<input id="file" type="file" accept="image/*" class="mt-2 block w-full rounded-lg border border-slate-700 bg-slate-950 p-3" />
<div class="mt-4 grid gap-4 sm:grid-cols-2">
<div>
<label class="block text-sm text-slate-400">Detector</label>
<select id="detector" class="mt-2 block w-full rounded-lg border border-slate-700 bg-slate-950 p-3">
<option value="auto">Auto</option>
<option value="face">Face</option>
<option value="person">Person</option>
<option value="salient">Subject</option>
</select>
</div>
<div>
<label class="block text-sm text-slate-400">Buffer ratio</label>
<input id="buffer_ratio" type="number" step="0.05" min="0" max="0.6" value="0.20" class="mt-2 block w-full rounded-lg border border-slate-700 bg-slate-950 p-3" />
</div>
</div>
<button id="go" class="mt-4 rounded-lg bg-cyan-500 px-4 py-2 font-semibold text-slate-950">Process</button>
<pre id="meta" class="mt-4 whitespace-pre-wrap rounded-lg bg-slate-950 p-3 text-xs text-slate-300"></pre>
</section>
@@ -63,11 +77,20 @@ def index():
if (!file.files.length) return;
const form = new FormData();
form.append('file', file.files[0]);
form.append('detector', document.getElementById('detector').value);
form.append('buffer_ratio', document.getElementById('buffer_ratio').value);
meta.textContent = 'Working...';
const resp = await fetch('/api/focus', { method: 'POST', body: form });
const data = await resp.json();
meta.textContent = JSON.stringify(data, null, 2);
meta.textContent = JSON.stringify({
filename: data.filename,
detector: data.detector,
method: data.method,
buffer_ratio: data.buffer_ratio,
detected_bbox: data.detected_bbox,
square_bbox: data.square_bbox,
source_size: data.source_size,
}, null, 2);
crop.src = data.crop_data_url;
annotated.src = data.annotated_data_url;
crop.classList.remove('hidden');
@@ -81,23 +104,31 @@ def index():
@app.post("/api/focus")
async def focus(file: UploadFile = File(...), buffer_ratio: float = Form(0.15)):
async def focus(
file: UploadFile = File(...),
buffer_ratio: float = Form(0.15),
detector: str = Form("auto"),
):
from app.vision import process_image
try:
payload = await file.read()
return process_image(payload, file.filename or "upload", buffer_ratio=buffer_ratio)
return process_image(payload, file.filename or "upload", buffer_ratio=buffer_ratio, detector=detector)
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc
@app.post("/api/focus/image")
async def focus_image(file: UploadFile = File(...), buffer_ratio: float = Form(0.15)):
async def focus_image(
file: UploadFile = File(...),
buffer_ratio: float = Form(0.15),
detector: str = Form("auto"),
):
from app.vision import process_image
try:
payload = await file.read()
result = process_image(payload, file.filename or "upload", buffer_ratio=buffer_ratio)
result = process_image(payload, file.filename or "upload", buffer_ratio=buffer_ratio, detector=detector)
return StreamingResponse(result["crop_bytes_io"], media_type=result["mime_type"])
except ValueError as exc:
raise HTTPException(status_code=400, detail=str(exc)) from exc