import React, { useState, useRef, useEffect } from 'react';
import axios from 'axios';
import { UploadCloud, Activity, Loader2, ScanLine, Search } from 'lucide-react';
const API_BASE = import.meta.env.DEV ? "http://localhost:8000" : "";
const QUADRANT_COLOURS = ['#3b82f6', '#22c55e', '#f59e0b', '#ef4444'];
const UPPER_TEETH = [18, 17, 16, 15, 14, 13, 12, 11, 21, 22, 23, 24, 25, 26, 27, 28];
const LOWER_TEETH = [48, 47, 46, 45, 44, 43, 42, 41, 31, 32, 33, 34, 35, 36, 37, 38];
const ALL_TEETH = [...UPPER_TEETH, ...LOWER_TEETH];
function getToothStyle(fdi) {
const quad = Math.floor(fdi / 10);
const colors = {
1: { border: '#3b82f6', bg: 'rgba(59,130,246,0.25)', text: '#93c5fd' },
2: { border: '#22c55e', bg: 'rgba(34,197,94,0.25)', text: '#86efac' },
3: { border: '#f59e0b', bg: 'rgba(245,158,11,0.25)', text: '#fcd34d' },
4: { border: '#ef4444', bg: 'rgba(239,68,68,0.25)', text: '#fca5a5' },
};
return colors[quad] || { border: '#a855f7', bg: 'rgba(168,85,247,0.25)', text: '#d8b4fe' };
}
function computeIoU(b1, b2) {
const ix = Math.max(b1[0], b2[0]), iy = Math.max(b1[1], b2[1]);
const iw = Math.min(b1[2], b2[2]) - ix, ih = Math.min(b1[3], b2[3]) - iy;
if (iw <= 0 || ih <= 0) return 0;
const inter = iw * ih;
return inter / ((b1[2]-b1[0])*(b1[3]-b1[1]) + (b2[2]-b2[0])*(b2[3]-b2[1]) - inter);
}
function applyNMS(results, iouThreshold = 0.35) {
const sorted = [...results].sort((a, b) => (b.confidence ?? b.score) - (a.confidence ?? a.score));
const keep = [];
for (const item of sorted) {
if (!keep.some(k => computeIoU(item.box, k.box) > iouThreshold)) keep.push(item);
}
return keep;
}
function getColour(fdi) {
if (!fdi || fdi < 0) return '#a855f7';
const quad = Math.floor(fdi / 10) - 1;
return QUADRANT_COLOURS[Math.min(quad, 3)] ?? '#a855f7';
}
// ── ToothCrop Component (For the Right Panel) ─────────────────────────────────
const ToothCrop = ({ imageSrc, box, mask_base64, score, fdi, isPipeline, index }) => {
const canvasRef = useRef(null);
useEffect(() => {
if (!canvasRef.current || !imageSrc || !box) return;
const [x1, y1, x2, y2] = box;
const w = x2 - x1;
const h = y2 - y1;
if (w <= 0 || h <= 0) return;
const img = new Image();
img.src = imageSrc;
img.onload = () => {
const cvs = canvasRef.current;
const ctx = cvs.getContext('2d');
cvs.width = w;
cvs.height = h;
ctx.clearRect(0, 0, w, h);
ctx.drawImage(img, x1, y1, w, h, 0, 0, w, h);
if (mask_base64) {
const maskImg = new Image();
maskImg.onload = () => {
const off = document.createElement('canvas');
off.width = w; off.height = h;
const octx = off.getContext('2d');
const col = isPipeline && fdi > 0 ? getColour(fdi) : '#22d3ee';
octx.fillStyle = col;
octx.fillRect(0, 0, w, h);
octx.globalCompositeOperation = 'destination-in';
octx.drawImage(maskImg, 0, 0, w, h);
ctx.save();
ctx.globalAlpha = 0.5;
ctx.drawImage(off, 0, 0);
ctx.restore();
};
maskImg.src = `data:image/png;base64,${mask_base64}`;
}
};
}, [imageSrc, box, mask_base64, fdi, isPipeline]);
const col = isPipeline && fdi > 0 ? getColour(fdi) : '#3b82f6';
return (
{isPipeline && fdi > 0 ? `Dent n°${fdi}` : `Dent n°${index + 1}`}
{(score * 100).toFixed(0)}%
{/* Metrics Area */}
Area: {(((box[2]-box[0]) * (box[3]-box[1])) / 100).toFixed(1)} mm²
Confiance
);
};
// ── Odontogram Component ──────────────────────────────────────────────────────
function Odontogram({ detectedFDIs }) {
const detected = new Set(detectedFDIs);
const ToothCell = ({ fdi, isUpper }) => {
const present = detected.has(fdi);
const style = present ? getToothStyle(fdi) : null;
return (
{present ? (
{fdi}
) : (
<>
{fdi}
>
)}
);
};
return (
Odontogramme FDI — Schéma Dentaire
{UPPER_TEETH.map(t => )}
{LOWER_TEETH.map(t => )}
{['bg-blue-500','bg-green-500','bg-amber-500','bg-red-500'].map((c,i) => (
))}
Détectée (Q1–Q4)
Non détectée / Absente
);
}
// ── Main App ──────────────────────────────────────────────────────────────────
export default function App() {
const [file, setFile] = useState(null);
const [imagePreview, setImagePreview] = useState(null);
// Tasks: 'diagnostic', 'segmentation', 'charting' — default: leftmost button
const [task, setTask] = useState('diagnostic');
// Versions: 'v1' (YOLO), 'v2' (FasterRCNN) — default: leftmost radio
const [version, setVersion] = useState('v1');
const [pipelineResults, setPipelineResults] = useState(null);
const [rawBoxes, setRawBoxes] = useState(null);
const [maskSrc, setMaskSrc] = useState(null);
const [loading, setLoading] = useState(false);
const imgRef = useRef(null);
const canvasRef = useRef(null);
const modeStr = (() => {
if (!task || !version) return null;
if (task === 'diagnostic') return version === 'v1' ? 'yolo' : 'frcnn';
if (task === 'segmentation') return version === 'v1' ? 'seg_yolo' : 'seg_frcnn';
if (task === 'charting') return version === 'v1' ? 'pipeline_yolo' : 'pipeline_frcnn';
})();
const isPipeline = task === 'charting';
const handleFileSelect = (f) => {
setFile(f);
setImagePreview(URL.createObjectURL(f));
setPipelineResults(null);
setRawBoxes(null);
setMaskSrc(null);
};
const handleAPI = async () => {
if (!file || !modeStr) return;
setLoading(true);
setPipelineResults(null); setRawBoxes(null); setMaskSrc(null);
const fd = new FormData();
fd.append("file", file);
try {
if (modeStr.startsWith('pipeline') || modeStr.startsWith('seg')) {
const endpoint = modeStr.includes('yolo') ? 'yolo' : 'frcnn';
const r = await axios.post(`${API_BASE}/api/pipeline/${endpoint}`, fd);
setPipelineResults(r.data.results);
} else {
const endpoint = modeStr.includes('yolo') ? 'yolo' : 'frcnn';
const r = await axios.post(`${API_BASE}/api/detect/${endpoint}`, fd);
setRawBoxes(r.data);
}
} catch (e) {
console.error(e);
alert("Error contacting the AI server. Ensure FastAPI is running on port 8000.");
} finally {
setLoading(false);
}
};
// Draw bounding boxes + segmentation masks on canvas
useEffect(() => {
if (!canvasRef.current || !imgRef.current) return;
const img = imgRef.current;
const ctx = canvasRef.current.getContext('2d');
const { width, height } = img.getBoundingClientRect();
canvasRef.current.width = width;
canvasRef.current.height = height;
const sx = width / img.naturalWidth;
const sy = height / img.naturalHeight;
ctx.clearRect(0, 0, width, height);
if (pipelineResults) {
const showFDI = isPipeline;
const uniqueResults = applyNMS(pipelineResults, 0.40);
uniqueResults.forEach(({ box, score, confidence, fdi, mask_base64 }) => {
const [x1, y1, x2, y2] = box;
const rx = x1*sx, ry = y1*sy, rw = (x2-x1)*sx, rh = (y2-y1)*sy;
const col = showFDI ? getColour(fdi) : '#22d3ee';
if (mask_base64 && task !== 'diagnostic') {
const maskImg = new Image();
maskImg.onload = () => {
const off = document.createElement('canvas');
off.width = rw; off.height = rh;
const octx = off.getContext('2d');
octx.fillStyle = col;
octx.fillRect(0, 0, rw, rh);
octx.globalCompositeOperation = 'destination-in';
octx.drawImage(maskImg, 0, 0, rw, rh);
ctx.save();
ctx.globalAlpha = 0.50;
ctx.drawImage(off, rx, ry);
ctx.restore();
};
maskImg.src = `data:image/png;base64,${mask_base64}`;
}
ctx.strokeStyle = col; ctx.lineWidth = 2;
ctx.strokeRect(rx, ry, rw, rh);
const s = confidence ?? score;
const label = showFDI ? (fdi > 0 ? `FDI ${fdi}` : `${(s*100).toFixed(0)}%`) : `${(s*100).toFixed(0)}%`;
const tw = ctx.measureText(label).width + 8;
ctx.fillStyle = col;
ctx.fillRect(rx, ry - 16, tw, 16);
ctx.fillStyle = 'white'; ctx.font = 'bold 10px Arial';
ctx.fillText(label, rx + 4, ry - 4);
});
}
if (uniqueDetectionResults && !pipelineResults) {
uniqueDetectionResults.forEach(({ box, score }) => {
const [x1, y1, x2, y2] = box;
const rx = x1*sx, ry = y1*sy, rw = (x2-x1)*sx, rh = (y2-y1)*sy;
ctx.strokeStyle = '#3b82f6'; ctx.lineWidth = 2;
ctx.strokeRect(rx, ry, rw, rh);
const s = `${(score*100).toFixed(0)}%`;
ctx.fillStyle = '#3b82f6'; ctx.fillRect(rx, ry - 16, 30, 16);
ctx.fillStyle = 'white'; ctx.font = '10px Arial';
ctx.fillText(s, rx + 4, ry - 4);
});
}
}, [pipelineResults, rawBoxes, isPipeline, task]);
const uniquePipelineResults = pipelineResults ? applyNMS(pipelineResults, 0.40) : null;
const uniqueDetectionResults = rawBoxes ? applyNMS(rawBoxes.boxes.map((box, i) => ({ box, score: rawBoxes.scores[i] })), 0.40) : null;
const combinedResults = uniquePipelineResults || uniqueDetectionResults || [];
const detectedFDIs = uniquePipelineResults ? uniquePipelineResults.filter(r => r.fdi > 0).map(r => r.fdi) : [];
const totalDetected = combinedResults.length;
const hasResults = combinedResults.length > 0;
return (
{/* ── Header Area ──────────────────────────────────────────────────────── */}
{/* Task Tabs */}
{[
{ id: 'diagnostic', label: 'Diagnostic Rapide', icon:
, desc: 'v1: YOLOv8s | v2: Faster R-CNN' },
{ id: 'segmentation', label: 'Segmentation & Mesure', icon:
, desc: 'v1: YOLOv8s + U-Net | v2: Faster R-CNN + U-Net' },
{ id: 'charting', label: 'Charting Détaillé', icon:
, desc: 'v1: YOLOv8s + ConvNeXt-T + U-Net | v2: Faster R-CNN + ConvNeXt-T + U-Net' }
].map(t => (
{/* Tooltip via pure CSS group-hover */}
{t.icon} {t.label}
{t.desc.split(' | ').map((d, i) => (
{d}
))}
))}
{/* Version Radio */}
{/* ── Main Content Split View ────────────────────────────────────────── */}
{/* LEFT COLUMN */}
{/* Image Upload/Preview */}
!imagePreview && document.getElementById('fu').click()}
onDragOver={e => e.preventDefault()}
onDrop={e => { e.preventDefault(); if (e.dataTransfer.files[0]) handleFileSelect(e.dataTransfer.files[0]); }}
>
{imagePreview ? (
) : (
<>
Glissez-déposez une radiographie
ou cliquez pour parcourir
>
)}
handleFileSelect(e.target.files[0])} />
{/* Analyze Button */}
{/* Stats Row */}
{hasResults && (
{totalDetected}
Dents Détectées
{isPipeline && (
<>
{detectedFDIs.length}
Étiquettes FDI
{32 - detectedFDIs.length}
Absentes
>
)}
{uniquePipelineResults
? (uniquePipelineResults.reduce((s, r) => s + (r.confidence ?? r.score ?? 0), 0) / uniquePipelineResults.length * 100).toFixed(0)
: uniqueDetectionResults
? (uniqueDetectionResults.reduce((s, r) => s + r.score, 0) / uniqueDetectionResults.length * 100).toFixed(0)
: 0}%
Confiance Moyenne
)}
{/* FDI Classification Results */}
{hasResults && isPipeline && detectedFDIs.length > 0 && (
RÉSULTATS DE CLASSIFICATION FDI
{uniquePipelineResults.filter(r => r.fdi > 0).map((r, i) => {
const col = getColour(r.fdi);
return (
FDI {r.fdi}
{(r.confidence*100).toFixed(0)}%
);
})}
)}
{/* Odontogram */}
{hasResults && isPipeline && detectedFDIs.length > 0 && (
)}
{/* RIGHT COLUMN */}
Détails des Dents & Résultats {task === 'segmentation' || task === 'charting' ? 'de Segmentation' : 'de Détection'}
{!hasResults ? (
Aucun résultat à afficher.
Lancez l'analyse pour voir les détails ici.
) : (
{combinedResults.map((r, i) => (
))}
)}
{/* Analyse Métrique Bottom Section */}
{hasResults && (
Analyse Métrique
{[95, 85, 40, 20, 10, 5].map((h, i) => (
))}
90%+ 80-89% 70-79% <70%
90%+ confiance: {combinedResults.filter(r => (r.confidence??r.score) >= 0.9).length}
80-89% dentes: {combinedResults.filter(r => (r.confidence??r.score) >= 0.8 && (r.confidence??r.score) < 0.9).length}
70-79% dentes: {combinedResults.filter(r => (r.confidence??r.score) >= 0.7 && (r.confidence??r.score) < 0.8).length}
<70% confiance: {combinedResults.filter(r => (r.confidence??r.score) < 0.7).length}
Area de segmentation: {(combinedResults.reduce((s, r) => s + ((r.box[2]-r.box[0]) * (r.box[3]-r.box[1])), 0) / 100).toFixed(2)} mm²
)}
);
}