danila


Namedanila JSON
Version 1.0.0 PyPI version JSON
download
home_pagehttps://github.com/Arseniy-Zhuck/danilav1
SummaryThis is the module for detecting and classifying text on rama pictures
upload_time2024-04-15 06:07:24
maintainerNone
docs_urlNone
authorarseniy_zhuck
requires_python>=3.6
licenseNone
keywords rama detect machine-learning computer-vision
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # To install project made 
    git clone
    pip install -r requirements.txt
# All user methods are in 
    Danila class

# makes object and loads all neuro models
    danila = Danila()

# returns string - class of rama using CNN network
    def rama_classify(self, image_path)

# returns image_path in danilav1 root with drawn rectangle and text - rama and its class
    def rama_detect(self, image_path)

# returns image_path in danilav1 root with cut_rama 
    def rama_cut(self, image_path)

# returns image-path of cut rama with drawn text areas
    def text_detect_cut(self, image_path)

# returns image-path of image with drawn text areas
    def text_detect_cut(self, image_path)

# scripts illustrates methods using
    demo_1
    demo_2
    demo_3
    demo_4
    demo_5
    
# to start work you should 
    add directory yolo
    cd yolo/
    git clone https://github.com/ultralytics/yolov5.git

# you should paste directory models just in root
    https://disk.yandex.ru/client/disk/%D0%9A%D0%BE%D0%BC%D0%BF%D1%8C%D1%8E%D1%82%D0%B5%D1%80%20NUFDR0019114/%D0%A0%D0%90%D0%9C%D0%90

            

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