File size: 1,240 Bytes
6b79e42 99f1eb3 6b79e42 0fbc2d1 6b79e42 6767de4 99f1eb3 6b79e42 6767de4 6b79e42 d4dc97e 6b79e42 99f1eb3 |
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 |
from fastapi import FastAPI, File, UploadFile,Form
from fastapi.responses import FileResponse, StreamingResponse
from fastapi.staticfiles import StaticFiles
from fastapi import FastAPI, File, UploadFile
from pydantic import BaseModel
import numpy as np
import cv2
import torch
from vtoonify_model import Model
app = FastAPI()
# Load the model
model = Model(device='cuda' if torch.cuda.is_available() else 'cpu')
exstyle, message = model.load_model("cartoon1")
class ImageRequest(BaseModel):
image_file: UploadFile = File(...)
@app.post("/upload/")
async def toonify_image(image_request: ImageRequest):
image = await image_request.image_file.read()
nparr = np.frombuffer(image, np.uint8)
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
aligned_face, instyle, message = model.detect_and_align_image(img, 200, 200, 200, 200) # Hardcoded values
toonified_img, message = model.image_toonify(aligned_face, instyle, exstyle, style_degree=0.5, style_type="cartoon1")
return {"toonified_image": toonified_img, "message": message}
app.mount("/", StaticFiles(directory="AB", html=True), name="static")
@app.get("/")
def index() -> FileResponse:
return FileResponse(path="/app/AB/index.html", media_type="text/html")
|