Spaces:
Running
Running
File size: 7,681 Bytes
fd45fc3 7d9faed 9eb479d fd45fc3 7d9faed b3605aa 170887a 675613c 580f903 1ac1172 675613c 1ac1172 675613c 1ac1172 9eb479d 26c3131 675613c 9eb479d b3605aa 93fae1d ecd9a03 7d9faed 1ac1172 9941a23 1ac1172 9eb479d 8df6fdb 60acabe 26c3131 1ac1172 675613c 1ac1172 675613c 9941a23 675613c 1ac1172 9941a23 675613c 1ac1172 26c3131 1ac1172 93fae1d 1ac1172 9941a23 1ac1172 9941a23 26c3131 1ac1172 675613c 9eb479d 7500a66 ecd9a03 60acabe 1ac1172 9eb479d ecd9a03 9eb479d 9941a23 9eb479d 1ac1172 9eb479d 9941a23 9eb479d 9941a23 aa99866 1ac1172 9eb479d 1ac1172 9eb479d 675613c aa1f7cf 9eb479d 7d9faed 1ac1172 93fae1d 1ac1172 2492ee7 1ac1172 93fae1d 2492ee7 675613c 1ac1172 7500a66 675613c 9941a23 7d9faed 9eb479d 1ac1172 675613c 9eb479d 7d9faed aa1f7cf b3605aa 7d9faed 1ac1172 9eb479d 1ac1172 9eb479d 459af64 9941a23 459af64 fd45fc3 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 f8a4ad9 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 9941a23 459af64 60acabe 1ac1172 9941a23 1ac1172 9eb479d 675613c aa1f7cf 70366f8 9eb479d 26c3131 459af64 675613c 26c3131 9eb479d aa1f7cf 9eb479d aa1f7cf ecd9a03 aa1f7cf 93fae1d aa1f7cf 93fae1d 9eb479d 1ac1172 9eb479d 7d9faed 675613c 9941a23 675613c | 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 | import os
import cv2
import uuid
import time
import numpy as np
import insightface
import concurrent.futures
import traceback
from fastapi import FastAPI, UploadFile, File, HTTPException, Form
from fastapi.responses import HTMLResponse, StreamingResponse
# HEIC SUPPORT
try:
import pillow_heif
from PIL import Image
pillow_heif.register_heif_opener()
HEIC_SUPPORTED = True
except:
HEIC_SUPPORTED = False
# ============================================================
# CONFIG
# ============================================================
MAX_FILE_MB = 10
MAX_DIM = 640
MAX_WORKERS = 3
CLEANUP_TIME = 300
TASKS = {}
executor = concurrent.futures.ThreadPoolExecutor(max_workers=MAX_WORKERS)
# ============================================================
# LOAD MODELS
# ============================================================
face_app = insightface.app.FaceAnalysis(name="buffalo_l")
face_app.prepare(ctx_id=-1, det_size=(640, 640))
swapper = insightface.model_zoo.get_model("inswapper_128.onnx", root=".")
# ============================================================
# IMAGE HELPERS
# ============================================================
def decode_image(file_bytes):
arr = np.frombuffer(file_bytes, np.uint8)
img = cv2.imdecode(arr, cv2.IMREAD_COLOR)
if img is None and HEIC_SUPPORTED:
try:
from PIL import Image
import io
pil_img = Image.open(io.BytesIO(file_bytes)).convert("RGB")
img = cv2.cvtColor(np.array(pil_img), cv2.COLOR_RGB2BGR)
except:
pass
if img is None:
raise ValueError("Unsupported image format")
return img
def compress_and_resize(file_bytes):
img = decode_image(file_bytes)
size_mb = len(file_bytes) / (1024 * 1024)
if size_mb > MAX_FILE_MB:
img = cv2.resize(img, None, fx=0.6, fy=0.6, interpolation=cv2.INTER_AREA)
h, w = img.shape[:2]
if max(h, w) > MAX_DIM:
scale = MAX_DIM / max(h, w)
img = cv2.resize(img, (int(w * scale), int(h * scale)))
return img
def enhance(img):
blur = cv2.GaussianBlur(img, (0, 0), 1.2)
return cv2.addWeighted(img, 1.2, blur, -0.2, 0)
def cleanup():
now = time.time()
remove = []
for k, v in TASKS.items():
if "time" in v and now - v["time"] > CLEANUP_TIME:
try:
if "result" in v:
os.remove(v["result"])
except:
pass
remove.append(k)
for k in remove:
TASKS.pop(k, None)
# ============================================================
# WORKER
# ============================================================
def run_task(tid, src_bytes, tgt_bytes, filename, face_index):
TASKS[tid]["status"] = "processing"
try:
src = compress_and_resize(src_bytes)
tgt = compress_and_resize(tgt_bytes)
s_faces = face_app.get(src)
t_faces = face_app.get(tgt)
if not s_faces or not t_faces:
raise ValueError("Face not detected")
face_index = min(face_index, len(t_faces) - 1)
result = swapper.get(tgt, t_faces[face_index], s_faces[0], paste_back=True)
result = enhance(result)
name = os.path.splitext(filename)[0]
out_path = f"/tmp/{name}_{tid}.png"
cv2.imwrite(out_path, result, [cv2.IMWRITE_PNG_COMPRESSION, 3])
TASKS[tid] = {
"status": "done",
"result": out_path,
"filename": f"{name}.png",
"time": time.time()
}
except Exception as e:
TASKS[tid] = {"status": "failed", "error": str(e)}
print(traceback.format_exc())
# ============================================================
# FASTAPI
# ============================================================
app = FastAPI()
# ============================================================
# UI PAGE
# ============================================================
@app.get("/", response_class=HTMLResponse)
def home():
return """
<!DOCTYPE html>
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Face Swap API Test</title>
<style>
body{font-family:sans-serif;background:#0f172a;color:white;text-align:center;padding:20px}
.box{border:2px dashed #444;padding:20px;margin:10px;border-radius:10px;cursor:pointer}
img{max-width:200px;margin-top:10px;border-radius:8px}
button{padding:12px 20px;background:#6366f1;color:white;border:none;border-radius:8px}
.progress{height:10px;background:#333;margin-top:10px;border-radius:10px;overflow:hidden;display:none}
.bar{height:100%;width:0;background:#22c55e}
</style>
</head>
<body>
<h2>⚡ Face Swap Test UI</h2>
<div class="box" onclick="src.click()">Upload Source<input type="file" id="src" hidden></div>
<img id="p1">
<div class="box" onclick="tgt.click()">Upload Target<input type="file" id="tgt" hidden></div>
<img id="p2">
<br>
<label>Select Face Index:</label>
<input type="number" id="faceIndex" value="0" min="0">
<br><br>
<button onclick="start()">Start Swap</button>
<div class="progress" id="progress"><div class="bar" id="bar"></div></div>
<br>
<img id="out">
<br>
<a id="dl" download="faceswap.png" style="display:none;color:lightgreen">Download PNG</a>
<script>
const src=document.getElementById("src");
const tgt=document.getElementById("tgt");
src.onchange=()=>p1.src=URL.createObjectURL(src.files[0]);
tgt.onchange=()=>p2.src=URL.createObjectURL(tgt.files[0]);
function upload(url,fd){
return new Promise((res,rej)=>{
let xhr=new XMLHttpRequest();
xhr.open("POST",url);
xhr.upload.onprogress=(e)=>{
if(e.lengthComputable){
progress.style.display="block";
bar.style.width=(e.loaded/e.total*100)+"%";
}
};
xhr.onload=()=>res(JSON.parse(xhr.responseText));
xhr.onerror=rej;
xhr.send(fd);
});
}
async function start(){
if(!src.files[0]||!tgt.files[0]) return alert("Upload both");
let fd=new FormData();
fd.append("source",src.files[0]);
fd.append("target",tgt.files[0]);
fd.append("face_index",document.getElementById("faceIndex").value);
let data=await upload("/swap",fd);
poll(data.task_id);
}
async function poll(id){
let r=await fetch("/status/"+id);
let j=await r.json();
if(j.status==="done"){
let img=await fetch("/result/"+id);
let blob=await img.blob();
let url=URL.createObjectURL(blob);
out.src=url;
dl.href=url;
dl.style.display="block";
bar.style.width="100%";
}
else if(j.status==="failed"){
alert(j.error);
}
else{
setTimeout(()=>poll(id),800);
}
}
</script>
</body>
</html>
"""
# ============================================================
# API
# ============================================================
@app.post("/swap")
async def swap(
source: UploadFile = File(...),
target: UploadFile = File(...),
face_index: int = Form(0)
):
tid = str(uuid.uuid4())
TASKS[tid] = {"status": "queued", "time": time.time()}
executor.submit(
run_task,
tid,
await source.read(),
await target.read(),
source.filename,
face_index
)
return {"task_id": tid}
@app.get("/status/{tid}")
def status(tid: str):
cleanup()
if tid not in TASKS:
raise HTTPException(404)
return TASKS[tid]
@app.get("/result/{tid}")
def result(tid: str):
task = TASKS.get(tid)
if not task or task["status"] != "done":
raise HTTPException(404)
return StreamingResponse(
open(task["result"], "rb"),
media_type="image/png",
headers={
"Content-Disposition": f'attachment; filename="{task["filename"]}"'
}
) |