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from fastapi import FastAPI, File, UploadFile, HTTPException | |
from fastapi.responses import FileResponse | |
import cv2 | |
import shutil | |
from model import Model # Import your model class here | |
app = FastAPI() | |
model = Model(device='cpu') # Initialize your model with the appropriate device | |
async def process_image(file: UploadFile = File(...), top: int = Form(...), bottom: int = Form(...), left: int = Form(...), right: int = Form(...)): | |
# Save the uploaded image locally | |
with open("uploaded_image.jpg", "wb") as buffer: | |
shutil.copyfileobj(file.file, buffer) | |
# Load the model (assuming 'cartoon1' is always used) | |
exstyle, load_info = model.load_model('cartoon1') | |
# Process the uploaded image | |
# Replace these values with the actual bounding box coordinates | |
aligned_face, instyle, message = model.detect_and_align_image("uploaded_image.jpg", top, bottom, left, right) | |
# Process the aligned face further if needed | |
# For example, you can pass it to the image_toonify method | |
style_degree = 0.5 | |
style_type = 'cartoon1' # Adjust this based on the actual style type | |
result_image, message = model.image_toonify(aligned_face, instyle, exstyle, style_degree, style_type) | |
# Save the result image locally | |
result_image_path = "result_image.jpg" | |
cv2.imwrite(result_image_path, result_image) | |
# Return the processed image | |
return FileResponse(result_image_path, media_type="image/jpeg", headers={"Content-Disposition": "attachment; filename=result_image.jpg"}) | |