how to send an numpy array or a pytorch Tensor through http post request using requests module and F-CodePudding

I have an image and I want to send it to the serve. I'm using requests module to perform simple post request as following(info is a dictionary):

    import requests

    print(type(info["array_image"]))
    print(type(info["visual_features"]))
    response = requests.post("url", data=info)

output :

<class 'numpy.ndarray'>
<class 'torch.Tensor'>

on the server side I'm trying to receive them as arrays at least:

from flask import Flask, request

@app.route('/path', methods=['POST'])
def function_name():
    visual_features = request.form['visual_features']
    array_image = request.form['array_image']
    print(type(array_image))
    print(type(visual_features))

output:

<class 'str'>
<class 'str'>

I want to get a bytes array to build the image, but what I'm getting is a string... If I didn't find a way I'll encode arrays in bas64 and then decode it in the server...

CodePudding user response：

You can try to convert your data to proper JSON or use Python pickle module or if you have an image as you've mentioned you can send it as a file (multipart request) to the server as shown in the examples here.

CodePudding user response：

Thanks to @praba230890 for giving me an easy to follow example.

I would still write the solution here down, since the provided link doesn't fit my case exactly.

import pickle
import io

array_image = pickle.dumps(info["array_image"])
stream = io.BytesIO(array_image)
files = {"array_image": stream}

info["array_image"] = None

response = http.post("url", data=info, files=files)

and in the server side:

from flask import Flask, request

@app.route('/path', methods=['POST'])
def function_name():
    image = request.files.get('array_image')
    array_image = image.read()

if you want to get the image from a file, then:

requests.post("http://localhost:5000/predict",
                 files={"file": open('<PATH/TO/.jpg/FILE>/cat.jpg','rb')})