![]() ![]() Reader (, gpu = False )įor more information, read the tutorial and API Documentation. In case you do not have a GPU, or your GPU has low memory, you can run the model in CPU-only mode by adding gpu=False. ![]() Model weights for the chosen language will be automatically downloaded or you canĭownload them manually from the model hub and put them in the '~/.EasyOCR/model' folder You can also set detail=0 for simpler output. It takes some time but it needs to be run only once. Note 3: The line reader = easyocr.Reader() is for loading a model into memory. Note 2: Instead of the filepath chinese.jpg, you can also pass an OpenCV image object (numpy array) or an image file as bytes. Several languages at once but not all languages can be used together.Įnglish is compatible with every language and languages that share common characters are usually compatible with each other. Note 1: is the list of languages you want to read. The output will be in a list format, each item represents a bounding box, the text detected and confident level, respectively. Reader () # this needs to run only once to load the model into memory result = reader. Note 2: We also provide a Dockerfile here. If you intend to run on CPU mode only, select CUDA = None. On the pytorch website, be sure to select the right CUDA version you have. Note 1: For Windows, please install torch and torchvision first by following the official instructions here. Add trainer for CRAFT detection model (thanks see PR)įor the latest stable release: pip install easyocrįor the latest development release: pip install git+. ![]() It can be used by initializing like this reader = easyocr.Reader(, detect_network = 'dbnet18'). Restructure code to support alternative text detectors.This model is a new default for Cyrillic script. DBnet will only be compiled when users initialize DBnet detector.Add Apple Silicon support (thanks and see PR).Integrated into Huggingface Spaces □ using Gradio. Ready-to-use OCR with 80+ supported languages and all popular writing scripts including: Latin, Chinese, Arabic, Devanagari, Cyrillic, etc. ![]()
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