![]() ![]() # With Proxy # pageurl, lang='en-US', options=options, proxy=proxy, proxy_auth=auth_details # Without Proxy pageurl, lang = 'en-US', options = optionsĬlient. solver import Solver pageurl = "" proxy = "127.0.0.1:1000" auth_details = ) Object classes: bicycle, bridge, bus, car, chimneys, crosswalk, fire hydrant, motorcycle, palm trees, parking meters, stair, taxis, tractors, traffic light, treesįrom goodbyecaptcha.Training YoloV3 I recommend training yolov3 to improve the recaptcha resolution with the following information: Train the yolov3 neural network to improve image recognition. You'll need pulseaudio, swig, libasound2-dev, and libpulse-dev under Debian. ![]() CompatibilityĪzure account for Bing Speech API access, anĪmazon Web Services account for Transcribe and S3 access, a Wit.AI or for Pocketsphinx. ![]() The information in this GitHub Repository to break the law. The author will not be held responsible in theĮvent any criminal charges be brought against any individuals misusing In this GitHub Repository can result in criminal charges brought against Repository is solely your responsibility. Any actionsĪnd/or activities related to the material contained on this GitHub This project is for educational and research purposes only. Built with Pyppeteer for ChromeĪutomation framework and similarities to Puppeteer, PyDub for easilyĬonverting MP3 files into WAV, aiohttp for async minimalistic web-server,Īnd Python’s built-in AsyncIO for convenience. Mozilla's DeepSpeech, PocketSphinx, Microsoft Azure’s, Wit.AI, Google Speech orĪmazon's Transcribe Speech-to-Text API. An async Python library to automate solving ReCAPTCHA v2 by images/audio using ![]()
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