It offers over 30 different types of augmentations, easy and ready to use. Moreover, as the authors prove, the library is faster than other libraries on most of the transformations. Example jupyter notebooks: All in one showcase notebook Classification, Object detection, image segmentation and ...
It offers over 30 different types of augmentations, easy and ready to use. Moreover, as the authors prove, the library is faster than other libraries on most of the transformations. Example jupyter notebooks: All in one showcase notebook Classification, Object detection, image segmentation and ...
Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# ...
It offers over 30 different types of augmentations, easy and ready to use. Moreover, as the authors prove, the library is faster than other libraries on most of the transformations. Example jupyter notebooks: All in one showcase notebook Classification, Object detection, image segmentation and ...
It offers over 30 different types of augmentations, easy and ready to use. Moreover, as the authors prove, the library is faster than other libraries on most of the transformations. Example jupyter notebooks: All in one showcase notebook Classification, Object detection, image segmentation and ...
Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# ...