async def predict_api(request: Request,
email: str = Form(...),
usr: str = Form(...),
age: int = Form(...),
file: UploadFile = File(...)):
# 帶入參數
email = email
usr = usr
age = age
filename = file.filename
# 許可圖片格式
extension = file.filename.split(".")[-1] in ("jpg", "jpeg", "png")
# 圖片格式判定, 中斷返回下列訊息
if not extension:
predictionMessage = "Image must be jpg or png format!"
else:
#
#with open("/tmp/destination.png", "wb") as buffer:
# shutil.copyfileobj(file.file, buffer)
# 圖片讀取, 啟動等待作業
image = read_imagefile(await file.read())
image.save("static/" + filename)
# 圖片預測函式
predictionMessage = predict(image)
return templates.TemplateResponse('form2.html',
context={
'request': request,
'email': email,
'usr': usr,
'age': age,
'filename': filename,
'prediction': predictionMessage
})
async def predict_api(file: UploadFile = File(...)):
extension = file.filename.split(".")[-1] in ("jpg", "jpeg", "png")
if not extension:
return "Image must be jpg or png format!"
image = read_imagefile(await file.read())
prediction = predict(image)
return prediction
async def predict_api(file: UploadFile = File(...)):
# 許可圖片格式
extension = file.filename.split(".")[-1] in ("jpg", "jpeg", "png")
# 圖片格式判定, 中斷返回下列訊息
if not extension:
return "Image must be jpg or png format!"
else:
# 圖片讀取, 啟動等待作業
image = read_imagefile(await file.read())
# 圖片預測函式
prediction = predict(image)
# 傳回預測結果
return prediction