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nadermx / backgroundremover

Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
https://www.backgroundremoverai.com
MIT License
6.43k stars 534 forks source link

pip install backgroundremover error #103

Open dcnc336 opened 8 months ago

dcnc336 commented 8 months ago

When I run command pip install backgroundremover, I keep getting this error

ERROR: Exception:
Traceback (most recent call last):
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 438, in _error_catcher
    yield
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 561, in read
    data = self._fp_read(amt) if not fp_closed else b""
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 527, in _fp_read
    return self._fp.read(amt) if amt is not None else self._fp.read()
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/cachecontrol/filewrapper.py", line 102, in read
    self.__buf.write(data)
  File "/usr/lib/python3.10/tempfile.py", line 622, in func_wrapper
    return func(*args, **kwargs)
OSError: [Errno 28] No space left on device

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/cli/base_command.py", line 180, in exc_logging_wrapper
    status = run_func(*args)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/cli/req_command.py", line 245, in wrapper
    return func(self, options, args)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/commands/install.py", line 377, in run
    requirement_set = resolver.resolve(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve
    result = self._result = resolver.resolve(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve
    state = resolution.resolve(requirements, max_rounds=max_rounds)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 427, in resolve
    failure_causes = self._attempt_to_pin_criterion(name)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 239, in _attempt_to_pin_criterion
    criteria = self._get_updated_criteria(candidate)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 230, in _get_updated_criteria
    self._add_to_criteria(criteria, requirement, parent=candidate)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 173, in _add_to_criteria
    if not criterion.candidates:
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/structs.py", line 156, in __bool__
    return bool(self._sequence)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 155, in __bool__
    return any(self)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 143, in <genexpr>
    return (c for c in iterator if id(c) not in self._incompatible_ids)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 47, in _iter_built
    candidate = func()
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/factory.py", line 211, in _make_candidate_from_link
    self._link_candidate_cache[link] = LinkCandidate(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 293, in __init__
    super().__init__(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 156, in __init__
    self.dist = self._prepare()
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 225, in _prepare
    dist = self._prepare_distribution()
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 304, in _prepare_distribution
    return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 525, in prepare_linked_requirement
    return self._prepare_linked_requirement(req, parallel_builds)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 596, in _prepare_linked_requirement
    local_file = unpack_url(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 168, in unpack_url
    file = get_http_url(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 109, in get_http_url
    from_path, content_type = download(link, temp_dir.path)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/network/download.py", line 147, in __call__
    for chunk in chunks:
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/cli/progress_bars.py", line 53, in _rich_progress_bar
    for chunk in iterable:
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/network/utils.py", line 63, in response_chunks
    for chunk in response.raw.stream(
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 622, in stream
    data = self.read(amt=amt, decode_content=decode_content)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 560, in read
    with self._error_catcher():
  File "/usr/lib/python3.10/contextlib.py", line 153, in __exit__
    self.gen.throw(typ, value, traceback)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 455, in _error_catcher
    raise ProtocolError("Connection broken: %r" % e, e)
pip._vendor.urllib3.exceptions.ProtocolError: ("Connection broken: OSError(28, 'No space left on device')", OSError(28, 'No space left on device'))
nadermx commented 8 months ago

It says there is no space left on your device...

El jue, 19 de oct de 2023 20:48, Dustin Caudill @.***> escribió:

When I run command pip install backgroundremover, I keep getting this error

ERROR: Exception: Traceback (most recent call last): File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 438, in _error_catcher yield File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 561, in read data = self._fp_read(amt) if not fp_closed else b"" File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 527, in _fp_read return self._fp.read(amt) if amt is not None else self._fp.read() File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/cachecontrol/filewrapper.py", line 102, in read self.__buf.write(data) File "/usr/lib/python3.10/tempfile.py", line 622, in func_wrapper return func(*args, **kwargs) OSError: [Errno 28] No space left on device

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/cli/base_command.py", line 180, in exc_logging_wrapper status = run_func(*args) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/cli/req_command.py", line 245, in wrapper return func(self, options, args) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/commands/install.py", line 377, in run requirement_set = resolver.resolve( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/resolver.py", line 95, in resolve result = self._result = resolver.resolve( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 546, in resolve state = resolution.resolve(requirements, max_rounds=max_rounds) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 427, in resolve failure_causes = self._attempt_to_pin_criterion(name) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 239, in _attempt_to_pin_criterion criteria = self._get_updated_criteria(candidate) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 230, in _get_updated_criteria self._add_to_criteria(criteria, requirement, parent=candidate) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/resolvers.py", line 173, in _add_to_criteria if not criterion.candidates: File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/resolvelib/structs.py", line 156, in bool return bool(self._sequence) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 155, in bool return any(self) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 143, in return (c for c in iterator if id(c) not in self._incompatible_ids) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py", line 47, in _iter_built candidate = func() File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/factory.py", line 211, in _make_candidate_from_link self._link_candidate_cache[link] = LinkCandidate( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 293, in init super().init( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 156, in init self.dist = self._prepare() File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 225, in _prepare dist = self._prepare_distribution() File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/resolution/resolvelib/candidates.py", line 304, in _prepare_distribution return preparer.prepare_linked_requirement(self._ireq, parallel_builds=True) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 525, in prepare_linked_requirement return self._prepare_linked_requirement(req, parallel_builds) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 596, in _prepare_linked_requirement local_file = unpack_url( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 168, in unpack_url file = get_http_url( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/operations/prepare.py", line 109, in get_http_url from_path, content_type = download(link, temp_dir.path) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/network/download.py", line 147, in call for chunk in chunks: File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/cli/progress_bars.py", line 53, in _rich_progress_bar for chunk in iterable: File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_internal/network/utils.py", line 63, in response_chunks for chunk in response.raw.stream( File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 622, in stream data = self.read(amt=amt, decode_content=decode_content) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 560, in read with self._error_catcher(): File "/usr/lib/python3.10/contextlib.py", line 153, in exit self.gen.throw(typ, value, traceback) File "/home/ubuntu/.local/lib/python3.10/site-packages/pip/_vendor/urllib3/response.py", line 455, in _error_catcher raise ProtocolError("Connection broken: %r" % e, e) pip._vendor.urllib3.exceptions.ProtocolError: ("Connection broken: OSError(28, 'No space left on device')", OSError(28, 'No space left on device'))

— Reply to this email directly, view it on GitHub https://github.com/nadermx/backgroundremover/issues/103, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABYACXEJL5NNO6ZWXELCSHTYAHQ6PAVCNFSM6AAAAAA6IGEE62VHI2DSMVQWIX3LMV43ASLTON2WKOZRHE2TGNBQGU2DMNQ . You are receiving this because you are subscribed to this thread.Message ID: @.***>

dcnc336 commented 8 months ago

Thank you for quick answer @nadermx ! I am running python server on AWS now, how much space is it needed approximately? 30G is enough?

nadermx commented 8 months ago

There is no need for that much. Perhaps the aws server is not installing the file in the right directory?

El jue, 19 de oct de 2023 22:42, Dustin Caudill @.***> escribió:

Thank you for quick answer @nadermx https://github.com/nadermx ! I run python server on AWS now, how much space is it needed approximately? 30G is enough?

— Reply to this email directly, view it on GitHub https://github.com/nadermx/backgroundremover/issues/103#issuecomment-1772070937, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABYACXGP4B2PJDCI4ICHDELYAH6LBAVCNFSM6AAAAAA6IGEE62VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONZSGA3TAOJTG4 . You are receiving this because you were mentioned.Message ID: @.***>

dcnc336 commented 8 months ago 
import os
from flask import Flask, request, jsonify, send_file ,make_response,render_template
from flask_cors import CORS
from time import perf_counter
from backgroundremover import utilities
from backgroundremover.bg import remove

def remove_image_background(input_path, output_path, debugger=False):
    ''' NOTE: Models and modules will take some extra time to load during your first execution.\n
        NOTE: If you want to play around with the default parameters, check https://github.com/nadermx/backgroundremover see what they mean.\n
        Set 'debugger=True' to see execution debugs.\n
    '''

    # Set default parameters for background remover function.
    default_parameters = {
    'model': 'u2net',
    'alpha_matting': False,
    'alpha_matting_foreground_threshold': 240,
    'alpha_matting_background_threshold': 10,
    'alpha_matting_erode_size': 10,
    'alpha_matting_base_size': 1000,
    }

    # Convert paths to absolute paths.
    input_path, output_path = os.path.abspath(input_path), os.path.abspath(output_path)

    # Check if paths exist.
    if not os.path.exists(input_path):
        raise OSError(f'Path {input_path} does not exist.')
    if not os.path.exists(os.path.dirname(output_path)):
        raise OSError(f'Path {output_path} does not exist.')

    # Load modules if running for the first time.
    if 'modules_imported' not in globals():
        global modules_imported, remove, utilities
        if debugger: print("Running app for the first time, importing modules.")

        modules_imported = ''

    # Open input image.
    with open(input_path, 'rb') as file:
        image = file.read()

    # Load model for the first time.
    if 'model_loaded' not in globals():
        global model_loaded
        if debugger: print('Loading model...')
        model_loaded = ''

    # Remove background from the image and return it as a bytes object.
    t1 = perf_counter()
    img_removed_bg_bytes = remove(image, model_name=default_parameters['model'],alpha_matting=default_parameters['alpha_matting'], alpha_matting_foreground_threshold=default_parameters['alpha_matting_foreground_threshold'],alpha_matting_background_threshold=default_parameters['alpha_matting_background_threshold'],alpha_matting_erode_structure_size=default_parameters['alpha_matting_erode_size'],alpha_matting_base_size=default_parameters['alpha_matting_base_size'])
    if debugger: print(f"{output_path} done. Took {(perf_counter()-t1):003} seconds.")

    # Write bytes object to your output path.
    with open(output_path, 'wb') as file:
        file.write(img_removed_bg_bytes)

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = 'uploads'

CORS(app)

@app.route('/upload', methods=['POST'])
def upload_file():
    if 'file' not in request.files:
        return jsonify({"error": "No file part"}), 400

    file = request.files['file']
    if file.filename == '':
        return jsonify({"error": "No selected file"}), 400

    if file:
        print(file.filename)
        file.save(os.path.join(app.config['UPLOAD_FOLDER'], file.filename))
        remove_image_background(f"uploads/{file.filename}", f"outputs/{file.filename}")
        return make_response(send_file(f"outputs/{file.filename}",download_name=file.filename,as_attachment=True))

if __name__ == '__main__':
    app.run(host='0.0.0.0',port='8000', debug=True)

I am using Flask python server now, and the backgroundremover library was not installed by above issues, Could you please explain what you mean file?

nadermx commented 8 months ago

I'll try and run that tomorrow or day after to see why its failing. You couls try running it as a subprocess instead to see if that works meantime

El jue, 19 de oct de 2023 22:51, Dustin Caudill @.***> escribió:

import os from flask import Flask, request, jsonify, send_file ,make_response,render_template from flask_cors import CORS from time import perf_counter from backgroundremover import utilities from backgroundremover.bg import remove

def remove_image_background(input_path, output_path, debugger=False): ''' NOTE: Models and modules will take some extra time to load during your first execution.\n NOTE: If you want to play around with the default parameters, check https://github.com/nadermx/backgroundremover see what they mean.\n Set 'debugger=True' to see execution debugs.\n '''

# Set default parameters for background remover function.
default_parameters = {
'model': 'u2net',
'alpha_matting': False,
'alpha_matting_foreground_threshold': 240,
'alpha_matting_background_threshold': 10,
'alpha_matting_erode_size': 10,
'alpha_matting_base_size': 1000,
}

# Convert paths to absolute paths.
input_path, output_path = os.path.abspath(input_path), os.path.abspath(output_path)

# Check if paths exist.
if not os.path.exists(input_path):
    raise OSError(f'Path {input_path} does not exist.')
if not os.path.exists(os.path.dirname(output_path)):
    raise OSError(f'Path {output_path} does not exist.')

# Load modules if running for the first time.
if 'modules_imported' not in globals():
    global modules_imported, remove, utilities
    if debugger: print("Running app for the first time, importing modules.")

    modules_imported = ''

# Open input image.
with open(input_path, 'rb') as file:
    image = file.read()

# Load model for the first time.
if 'model_loaded' not in globals():
    global model_loaded
    if debugger: print('Loading model...')
    model_loaded = ''

# Remove background from the image and return it as a bytes object.
t1 = perf_counter()
img_removed_bg_bytes = remove(image, model_name=default_parameters['model'],alpha_matting=default_parameters['alpha_matting'], alpha_matting_foreground_threshold=default_parameters['alpha_matting_foreground_threshold'],alpha_matting_background_threshold=default_parameters['alpha_matting_background_threshold'],alpha_matting_erode_structure_size=default_parameters['alpha_matting_erode_size'],alpha_matting_base_size=default_parameters['alpha_matting_base_size'])
if debugger: print(f"{output_path} done. Took {(perf_counter()-t1):003} seconds.")

# Write bytes object to your output path.
with open(output_path, 'wb') as file:
    file.write(img_removed_bg_bytes)

app = Flask(name) app.config['UPLOAD_FOLDER'] = 'uploads'

CORS(app)

@app.route('/upload', methods=['POST']) def upload_file(): if 'file' not in request.files: return jsonify({"error": "No file part"}), 400

file = request.files['file']
if file.filename == '':
    return jsonify({"error": "No selected file"}), 400

if file:
    print(file.filename)
    file.save(os.path.join(app.config['UPLOAD_FOLDER'], file.filename))
    # remove_image_background(f"uploads/{file.filename}", f"outputs/{file.filename}")
    return make_response(send_file(f"uploads/{file.filename}",download_name=file.filename,as_attachment=True))

if name == 'main': app.run(host='0.0.0.0',port='8000', debug=True)

I am using Flask python server now, and the backgroundremover library was not installed by above issues, Could you please explain what you mean file?

— Reply to this email directly, view it on GitHub https://github.com/nadermx/backgroundremover/issues/103#issuecomment-1772078059, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABYACXG5GNDVNGTENZMA5IDYAH7OBAVCNFSM6AAAAAA6IGEE62VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONZSGA3TQMBVHE . You are receiving this because you were mentioned.Message ID: @.***>

dcnc336 commented 8 months ago

Hi @nadermx , quick question for me, I am going to increase volume with 15G, do you think Is this enough to install this library?

nadermx commented 8 months ago

15gb is more than enough. I actually didn't see how big the directory required is with u2net models. Maybe 1 or 2 gigs plus pytorch

El jue, 19 de oct de 2023 22:55, Dustin Caudill @.***> escribió:

Hi @nadermx https://github.com/nadermx , quick question for me, I am going to increase volume with 15G, Is this enough to install this library?

— Reply to this email directly, view it on GitHub https://github.com/nadermx/backgroundremover/issues/103#issuecomment-1772080975, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABYACXEBEIW4QTDIS5L5RSLYAH75FAVCNFSM6AAAAAA6IGEE62VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTONZSGA4DAOJXGU . You are receiving this because you were mentioned.Message ID: @.***>

dcnc336 commented 8 months ago

Ok, Ill try with that, Thank you for your quick answer!

dcnc336 commented 8 months ago

Hi @nadermx, I increased the storage size with 15G, and backgroundremover library installed successfully, but when run my above code, I am getting error, Could you please check this error out?

[20/Oct/2023 12:35:35] "POST /upload HTTP/1.1" 500 -
Traceback (most recent call last):
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask/app.py", line 1478, in __call__
    return self.wsgi_app(environ, start_response)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask/app.py", line 1458, in wsgi_app
    response = self.handle_exception(e)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask_cors/extension.py", line 176, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask/app.py", line 1455, in wsgi_app
    response = self.full_dispatch_request()
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask/app.py", line 869, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask_cors/extension.py", line 176, in wrapped_function
    return cors_after_request(app.make_response(f(*args, **kwargs)))
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask/app.py", line 867, in full_dispatch_request
    rv = self.dispatch_request()
  File "/home/ubuntu/.local/lib/python3.10/site-packages/flask/app.py", line 852, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args)
  File "/var/www/remove-bg-app/_server/app.py", line 75, in upload_file
    remove_image_background(f"uploads/{file.filename}", f"outputs/{file.filename}")
  File "/var/www/remove-bg-app/_server/app.py", line 51, in remove_image_background
    img_removed_bg_bytes = remove(image, model_name=default_parameters['model'],alpha_matting=default_parameters['alpha_matting'], alpha_matting_foreground_threshold=default_parameters['alpha_matting_foreground_threshold'],alpha_matting_background_threshold=default_parameters['alpha_matting_background_threshold'],alpha_matting_erode_structure_size=default_parameters['alpha_matting_erode_size'],alpha_matting_base_size=default_parameters['alpha_matting_base_size'])
  File "/home/ubuntu/.local/lib/python3.10/site-packages/backgroundremover/bg.py", line 184, in remove
    img = Image.open(io.BytesIO(data)).convert("RGB")
  File "/home/ubuntu/.local/lib/python3.10/site-packages/PIL/Image.py", line 3305, in open
    raise UnidentifiedImageError(msg)
PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f2c7e08d990>