I am trying to return an image in fastAPI after comparing two images using Opencv.
Here's what I have done so far:
from fastapi import FastAPI , File, UploadFile
import numpy as np
from cv2 import *
import os
import base64
app = FastAPI(debug = True)
@app.post("/uploadfile/")
async def create_upload_file(file: UploadFile = File(...),file1: UploadFile = File(...)):
content = await file.read()
nparr = np.fromstring(content, np.uint8)
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
content1 = await file1.read()
nparr1 = np.fromstring(content1, np.uint8)
img1 = cv2.imdecode(nparr1, cv2.IMREAD_COLOR)
akaze = cv2.AKAZE_create()
kpts1, desc1 = akaze.detectAndCompute(img, None)
kpts2, desc2 = akaze.detectAndCompute(img1, None)
matcher = cv2.DescriptorMatcher_create(cv2.DescriptorMatcher_BRUTEFORCE_HAMMING)
matches_1 = matcher.knnMatch(desc1, desc2, 2)
good_points = []
for m,n in matches_1:
if m.distance < 0.7 * n.distance:
good_points.append(m)
mat = (round(len(kpts2)/len(good_points),2))
where I am getting an error
return_img = cv2.processImage(img)
_, encoded_img = cv2.imencode('.PNG', return_img)
encoded_img = base64.b64encode(return_img)
return {"The similarity is": mat,'encoded_img': endcoded_img}
What am I doing wrong?