captcha-solver | the project used the version of python
kandi X-RAY | Captcha Solver Summary
kandi X-RAY | Captcha Solver Summary
Captcha Solver is a Python library. Captcha Solver has no bugs, it has no vulnerabilities and it has low support. However Captcha Solver build file is not available. You can download it from GitLab.
the project used the version of python 3.6 and the current libraries:. matplotlib==3.0.2 scikit_image==0.14.2 tensorflow_gpu==1.12.0 numpy==1.13.3 joblib==0.13.1 scipy==1.2.0 keras==2.2.4 pyqt5==5.12 skimage==0.0 scikit_learn==0.20.2 tensorflow==1.12.0. to give a brief overview on how to use this code, a description of how to use the main files is provided. main_gui.py starts the qt5 gui, the model of ml can be choosed and then used to predict the captcha. the model cannot be trained currently, and it will be improved in future version. the input can be an image and the solution will be written on the gui. otherwise a folder can be selected and the solution will be written as the name of the files. main_cli.py starts a cli that provides different operation that are quite sequential. indeed, the first operation is to split the dataset into train, test and evaluation set that will be used for the rest of operations. the second operation is train
the project used the version of python 3.6 and the current libraries:. matplotlib==3.0.2 scikit_image==0.14.2 tensorflow_gpu==1.12.0 numpy==1.13.3 joblib==0.13.1 scipy==1.2.0 keras==2.2.4 pyqt5==5.12 skimage==0.0 scikit_learn==0.20.2 tensorflow==1.12.0. to give a brief overview on how to use this code, a description of how to use the main files is provided. main_gui.py starts the qt5 gui, the model of ml can be choosed and then used to predict the captcha. the model cannot be trained currently, and it will be improved in future version. the input can be an image and the solution will be written on the gui. otherwise a folder can be selected and the solution will be written as the name of the files. main_cli.py starts a cli that provides different operation that are quite sequential. indeed, the first operation is to split the dataset into train, test and evaluation set that will be used for the rest of operations. the second operation is train
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Support
Captcha Solver has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Captcha Solver has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Captcha Solver is current.
Quality
Captcha Solver has no bugs reported.
Security
Captcha Solver has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Captcha Solver does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Captcha Solver releases are not available. You will need to build from source code and install.
Captcha Solver has no build file. You will be need to create the build yourself to build the component from source.
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Captcha Solver Key Features
No Key Features are available at this moment for Captcha Solver.
Captcha Solver Examples and Code Snippets
No Code Snippets are available at this moment for Captcha Solver.
Community Discussions
No Community Discussions are available at this moment for Captcha Solver.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Captcha Solver
You can download it from GitLab.
You can use Captcha Solver like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Captcha Solver like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitLab.
If you have any questions check and ask questions on community page Stack Overflow .
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