Cannot open Image file got from request.files.get()

Question

I am trying to make a face recognition API with Flask and deepface library. But I am not able to open the image it's giving me different errors. Please give me a solution.

Code:

@app.route('/detect', methods=['POST'])
def recognize():
    image_path = request.files.get('image')
    try:
        analysis = DeepFace.analyze(image_path)
        return jsonify(analysis)
    except Exception as e:
        return jsonify({'error': str(e)})

error

  "error": "object of type 'FileStorage' has no len()"

Tried to open the image

    with open(image_path, 'r') as image:
            analysis = DeepFace.analyze(image)
            return jsonify(analysis)

I get the error

{"errors": "expected str, bytes or os.PathLike object, not FileStorage"}

score 0 · Answer 1 · answered Nov 24 '20 at 13:20

0

I think image_path holds object of type FileStorage which knows location of a file and does not hold actual image data. First you need to load that image file and then try to analyze it.

answered Nov 24 '20 at 13:20

Sharmiko

543
4
21

Can you please tell me how to lead the image? ``` – Nov 24 '20 at 13:27
You can read about it here [link](https://tedboy.github.io/flask/generated/generated/werkzeug.FileStorage.html). – Sharmiko Nov 24 '20 at 13:28

score 0 · Answer 2 · answered Nov 24 '20 at 16:39

A werkzeug FileStorage object has several methods as I've documented in another answer.

Sounds like you need to save the image to a temporary location first, then do the analysis.

I would create a directory called uploads on your server, then set this in the app config:

app.config['UPLOAD_FOLDER'] = 'uploads'

Then in your route, use the uuid.uuid4 function to create a temporary filename. Something like:


from uuid import uuid4

@app.route('/detect', methods=['POST'])
def recognize():

    tmp_fname = os.path.join(app.config['UPLOAD_FOLDER'], uuid4().__str__())

    image = request.files['image']
    image.save(tmp_fname)
    try:
        analysis = DeepFace.analyze(tmp_fname)
        return jsonify(analysis)
    except Exception as e:
        return jsonify({'error': str(e)})

This leaves the saved images on the filesystem, so you may wish to do some cleanup on this directory, or do something like os.remove('tmp_fname') after running the analysis.

I'm not sure whether Deepface.analyze accepts a stream as its first argument. The README suggests it only accepts a filename as a string. You could try doing Deepface.analyze(image.stream) to avoid having to deal with saving the temporary file (keep everything in memory instead), but this may not be supported.

Cannot open Image file got from request.files.get()

2 Answers2