无法加载资源:服务器在 reactjs 中以 python api 状态响应 422(无法处理的实体)
Failed to load resource: the server responded with a status of 422 (unprocessable entity) in reactjs with python api
我正在使用 python api 和 openCV 开发 reactjs,在上传照片 returns 后,面部周围会出现绿色矩形。所以处理它,点击上传照片 returns 422(不可处理的实体)。我有三个主要部分 Upload.js 用于前端上传部分,main.py 图片 api 和 face_detector.py 用于 opencv 部分。
Upload.js
import React, { useState } from 'react'
import './Upload.css'
import axios from 'axios';
const Upload = () => {
const [file, setFile] = useState();
const handleChange = (event) => {
setFile(URL.createObjectURL(event.target.files[0]))
}
const submitForm = () => {
const formData = new FormData();
formData.append('file', file);
axios
.post('http://127.0.0.1:8000/images', formData, {
headers: {
accept: 'multipart/form-data',
}
})
.then(() => {
alert('file upload succcess');
})
.catch(() => alert("File Upload Error"))
return formData
}
return (
<>
<input className='img_choose' type="file" onChange={handleChange} />
<img src={file} className='prev_img' alt='img' />
<button className='btn_upload' onClick={submitForm}>Upload</button>
</>
);
}
export default Upload
main.py
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import Response
from random import randint
from starlette.requests import Request
import uuid
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
db = []
origins = [
"http://localhost:3000",
"http://127.0.0.1:8000/"
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/main")
def main():
return{"message":"Welcome"}
@app.post("/images/")
async def create_upload_file(file: UploadFile = File(...)):
file.filename = f"{uuid.uuid4()}.jpg"
contents = await file.read() # <-- Important!
db.append(contents)
return {"filename": file.filename}
@app.get("/images/")
async def read_random_file():
# get a random file from the image db
random_index = randint(0, len(db) - 1)
response = Response(content=db[random_index])
return response
Face_detector.py
import cv2
import urllib.request
import numpy as np
url = [
"http://127.0.0.1:8000/images/"
]
def url_to_image(url):
# download the image, convert it to a NumPy array, and then read
# it into OpenCV format
resp = urllib.request.urlopen(url)
image = np.asarray(bytearray(resp.read()), dtype="uint8")
image = cv2.imdecode(image, cv2.IMREAD_COLOR)
# return the image
return image
for url in url:
trained_face_data = cv2.CascadeClassifier(
'haarcascade_frontalface_default.xml')
x = y = w = h = int
image = url_to_image(url)
face_coordinates = trained_face_data.detectMultiScale(image,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE)
for (x, y, w, h) in face_coordinates:
cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
cv2.imshow("Image", image)
cv2.waitKey(0)
这就是你做错的地方。
setFile(URL.createObjectURL(event.target.files[0]))
您在 formData 中附加文件 URL 而不是文件。
改用这个
setFile(event.target.files[0])
我正在使用 python api 和 openCV 开发 reactjs,在上传照片 returns 后,面部周围会出现绿色矩形。所以处理它,点击上传照片 returns 422(不可处理的实体)。我有三个主要部分 Upload.js 用于前端上传部分,main.py 图片 api 和 face_detector.py 用于 opencv 部分。
Upload.js
import React, { useState } from 'react'
import './Upload.css'
import axios from 'axios';
const Upload = () => {
const [file, setFile] = useState();
const handleChange = (event) => {
setFile(URL.createObjectURL(event.target.files[0]))
}
const submitForm = () => {
const formData = new FormData();
formData.append('file', file);
axios
.post('http://127.0.0.1:8000/images', formData, {
headers: {
accept: 'multipart/form-data',
}
})
.then(() => {
alert('file upload succcess');
})
.catch(() => alert("File Upload Error"))
return formData
}
return (
<>
<input className='img_choose' type="file" onChange={handleChange} />
<img src={file} className='prev_img' alt='img' />
<button className='btn_upload' onClick={submitForm}>Upload</button>
</>
);
}
export default Upload
main.py
from fastapi import FastAPI, File, UploadFile
from fastapi.responses import Response
from random import randint
from starlette.requests import Request
import uuid
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
db = []
origins = [
"http://localhost:3000",
"http://127.0.0.1:8000/"
]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/main")
def main():
return{"message":"Welcome"}
@app.post("/images/")
async def create_upload_file(file: UploadFile = File(...)):
file.filename = f"{uuid.uuid4()}.jpg"
contents = await file.read() # <-- Important!
db.append(contents)
return {"filename": file.filename}
@app.get("/images/")
async def read_random_file():
# get a random file from the image db
random_index = randint(0, len(db) - 1)
response = Response(content=db[random_index])
return response
Face_detector.py
import cv2
import urllib.request
import numpy as np
url = [
"http://127.0.0.1:8000/images/"
]
def url_to_image(url):
# download the image, convert it to a NumPy array, and then read
# it into OpenCV format
resp = urllib.request.urlopen(url)
image = np.asarray(bytearray(resp.read()), dtype="uint8")
image = cv2.imdecode(image, cv2.IMREAD_COLOR)
# return the image
return image
for url in url:
trained_face_data = cv2.CascadeClassifier(
'haarcascade_frontalface_default.xml')
x = y = w = h = int
image = url_to_image(url)
face_coordinates = trained_face_data.detectMultiScale(image,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30),
flags=cv2.CASCADE_SCALE_IMAGE)
for (x, y, w, h) in face_coordinates:
cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)
cv2.imshow("Image", image)
cv2.waitKey(0)
这就是你做错的地方。
setFile(URL.createObjectURL(event.target.files[0]))
您在 formData 中附加文件 URL 而不是文件。
改用这个
setFile(event.target.files[0])