# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

index = {"remove_dsstore": "00_core.ipynb",
         "get_basename": "02_dataloader.ipynb",
         "IMAGENET_LABELS": "00_core.ipynb",
         "read_image": "01_image.ipynb",
         "resize_image": "01_image.ipynb",
         "AUTOTUNE": "02_dataloader.ipynb",
         "show_batch": "02_dataloader.ipynb",
         "Clf": "02_dataloader.ipynb",
         "benchmark": "03_datagenerator.ipynb",
         "get_filenames": "03_datagenerator.ipynb",
         "get_label": "03_datagenerator.ipynb",
         "ImageSizeList": "03_datagenerator.ipynb",
         "Pipeline": "03_datagenerator.ipynb",
         "Dataset": "03_datagenerator.ipynb",
         "label_color": "04_visualization.ipynb",
         "colors": "04_visualization.ipynb",
         "draw_box": "04_visualization.ipynb",
         "draw_caption": "04_visualization.ipynb",
         "draw_boxes": "04_visualization.ipynb",
         "draw_detections": "04_visualization.ipynb",
         "draw_annotations": "04_visualization.ipynb",
         "disable_gpu": "05_utils.ipynb",
         "limit_gpu": "05_utils.ipynb",
         "gpu_dynamic_mem_growth": "05_utils.ipynb",
         "MODEL_DICT": "06_trainer.ipynb",
         "OPT_DICT": "06_trainer.ipynb",
         "create_classifier": "06_trainer.ipynb",
         "create_cnn": "06_trainer.ipynb",
         "Trainer": "06_trainer.ipynb",
         "InterpretModel": "06_trainer.ipynb"}

modules = ["core.py",
           "image.py",
           "dataloader.py",
           "datagenerator.py",
           "visualization.py",
           "utils.py",
           "trainer.py"]

doc_url = "https://chitra.aniketmaurya.ml/"

git_url = "https://github.com/aniketmaurya/chitra/tree/master/"

def custom_doc_links(name): return None
