monocr / coreml /monocr.mlpackage.json
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v3.5: 160px, 277 classes, static width, gated ONNX and CoreML exports
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{
"charset": " !\"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~£¥¦§©«¬°±²³´µ·¸¹º»¼½¾ÀÁÂÄÅÆÇÉÊÌÍÑÓÖרÜÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüþĀāıŒœŠšŽžƒːπကခဂဃငစဆဇဈဉညဋဌဍဎဏတထဒဓနပဖဗဘမယရလဝသဟဠအဣဤဥဦဧဨဩဪါာိီုူေဲဳဴဵံ့း္်ျြွှဿ၀၁၂၃၄၅၆၇၈၉၊။၌၍၎၏ၐၑၓၚၛၜၝၞၟၠ–—‘’‚“”•…−",
"img_height": 160,
"img_width": 1024,
"model_version": "3.5",
"format": "mlpackage",
"architecture": "MobileNetV3-Large + SE + 2xBiLSTM(512) + BottleneckAttention + CTC",
"num_classes": 277,
"rnn_hidden_size": 512,
"rnn_layers": 2,
"backbone": "mobilenetv3_large",
"input_normalization": "pixel / 127.5 - 1.0",
"input_dtype": "float32",
"input_channels": 1,
"input_colorspace": "grayscale"
}