JSONDecodeError: Expecting value: line 2 column 1 (char 1) "Remove the background from a video"

[AhmedEwis]

Hello

Thanks for this great effort!

I am running the below code to remove a background from a video, but I am getting the below error.

JSONDecodeError: Expecting value: line 2 column 1 (char 1)

import requests

file_names = ["/path/to/file.mp4"] api_key = ''

domain = 'https://video.backgroundremover.app' api_version = 'api/v1/' headers = {'Authorization': api_key} def videos(): files = [('video', open(f, 'rb')) for f in file_names] r = requests.post("%s/%svideo/" % (domain, api_version), files=files, headers=headers) return r.json()

def get_results(job_name, count, type): r = requests.post("%s/%sresults/" % (domain, api_version), data={'job_name': job_name, 'count': count, "type": type}) return r.json()

def download_file(url): local_filename = url.split('/')[-1] with requests.get(url, stream=True) as r: r.raise_for_status() with open(local_filename, 'wb') as f: for chunk in r.iter_content(chunk_size=8192): f.write(chunk)

image = videos() if not image.get('error'): results = get_results(image['job_name'], image['count'], image['type']) while not results['finished'] or not results['error']: results = get_results(word['job_name'], word['count'], word['type']) results['finished'] = results['finished'] time.sleep(5) if results['finished']: print(results['finished']) break for f in results['files']: file = download_file(f[0]) print(file)

[nadermx]

Hi, you are using the website, to remove a video from the command line, simply do

pip install --upgrade pip
pip install backgroundremover

then to remove the video simply in termianl do

backgroundremover -i "/path/to/video.mp4" -tv -o "output.mov"

[nadermx]

If you're trying to use the API from the website, you have to input your api key from your account page where it says <Yout api key>

[AhmedEwis]

Thanks.

The above code was done after collecting an API from the website.

still receiving that JSONDecodeError.

And I also tried the above comment for pip install --upgrade pip pip install backgroundremover and backgroundremover -i "/path/to/video.mp4" -tv -o "output.mov" in the anaconda prompt I received the below error:

PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x0000026B57F9EEF0>

[nadermx]

Hi, the code you posted, does not have the proper API key, you left the <api key> in the code, instead of replacing it with a string of text such as sdfkljsdlkfjdlkj234324 that would be showing in your admin panel.

In terms of cannot identify the image, are you sure you are inputting the right video? If you want to just remove an image it would be backgroundremover -i img.jpg -o stuff.png

[AhmedEwis]

the code works now I was putting normal strings with no <>.

but where can I find the result of the background removal?.

In the same directory I found the same original video

[nadermx]

correct. It should be placed in the directory you are running it, or where you specify to put it ie, /path/to/file.mov

[AhmedEwis]

I am not specifying any path and I could not find it in my running directory.

I have only run the below code in Jupiter Notebook.

import requests

file_names = ["C:/Users/eng_a/Downloads/bgrr/cut52.mkv"] api_key = '<54b10362########d3a4b5894af76cc>'

domain = 'https://video.backgroundremover.app' api_version = 'api/v1/' headers = {'Authorization': api_key} def videos(): files = [('video', open(f, 'rb')) for f in file_names] r = requests.post("%s/%svideo/" % (domain, api_version), files=files, headers=headers) return r.json()

def get_results(job_name, count, type): r = requests.post("%s/%sresults/" % (domain, api_version), data={'job_name': job_name, 'count': count, "type": type}) return r.json()

def download_file(url): local_filename = url.split('/')[-1] with requests.get(url, stream=True) as r: r.raise_for_status() with open(local_filename, 'wb') as f: for chunk in r.iter_content(chunk_size=8192): f.write(chunk)

image = videos() if not image.get('error'): results = get_results(image['job_name'], image['count'], image['type']) while not results['finished'] or not results['error']: results = get_results(word['job_name'], word['count'], word['type']) results['finished'] = results['finished'] time.sleep(5) if results['finished']: print(results['finished']) break for f in results['files']: file = download_file(f[0]) print(file)

[nadermx]

It should output the file path in the end. Although, I'm unsure it works with MKV, I haven't actually tested it with an MKV

[nadermx]

Either way, at least in the mean time you can go into your account page and manually download them from there. I'll try and get later today to perhaps specify the output file in the documentation to make that a bit more clear. But the result once it's done (of course some files take longer) will print the path to the file

[AhmedEwis]

I think it is working for mkv and mp4.

but I could not find the output video.

I have also tried manually but always facing server error

[nadermx]

hrmm, let me check this. I'll try and get to this tonight/tomorrow morning and worse case update the documentation to make it explicitly show where the file is being saved.

[AhmedEwis]

Thanks for your cooperation and I will be waiting for you.

[AhmedEwis]

Hey @nadermx Is there any update? Still can not find the video nor able to upload it manually.

[nadermx]

I still haven't had time to check this, but try this, please note new variable local_file

file_names = ["/path/to/file.mp4"]
api_key = '<YOUR_API_KEY>'
local_file = '/path/to/file/file.mov'

domain = 'https://video.backgroundremover.app'
api_version = 'api/v1/'
headers = {'Authorization': api_key}
def videos():
    files = [('video', open(f, 'rb')) for f in file_names]
    r = requests.post("%s/%svideo/" % (domain, api_version), files=files, headers=headers)
    return r.json()

def get_results(job_name, count, type):
    r = requests.post("%s/%sresults/" % (domain, api_version), data={'job_name': job_name, 'count': count, "type": type})
    return r.json()

def download_file(url):
    local_filename = local_file
    with requests.get(url, stream=True) as r:
        r.raise_for_status()
        with open(local_filename, 'wb') as f:
            for chunk in r.iter_content(chunk_size=8192):
                f.write(chunk)

image = videos()
if not image.get('error'):
    results = get_results(image['job_name'], image['count'], image['type'])
    while not results['finished'] or not results['error']:
        results = get_results(word['job_name'], word['count'], word['type'])
        results['finished'] = results['finished']
        time.sleep(5)
        if results['finished']:
            print(results['finished'])
            break
    for f in results['files']:
        file = download_file(f[0])
        print(file)

[AhmedEwis]

I am still trying, however it is running but with no results as below.

[nadermx]

It shows the error of not enough credits. How long is the video

On Sat, Nov 13, 2021, 15:30 AhmedEwis @.***> wrote:

I am still trying, however it is running but with no results as below. [image: image] https://user-images.githubusercontent.com/65680238/141659561-43f046dc-3b8c-4396-8df4-b15b12077c0b.png

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/nadermx/backgroundremover/issues/20#issuecomment-968138728, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABYACXDCHWBJGLHQXWVKRBTUL3KGJANCNFSM5HXMELHQ . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

[AhmedEwis]

I didn’t use my credits which are 180 and the video is only 1 min and 5 seconds. Total 65 seconds.

[nadermx]

Try again, I set your account to 500 credits to see if that fixes it. If not I'll try and debug today as I have a bit more time now.

[AhmedEwis]

Thank you. It is working now manually only. but can I control the effect of the removal? the result is not satisfying a lot of actors are hidden. And again by code, I can not find the saved video.