ó ž÷Xc@s]ddlZddlmZddlmZdadZdd„Z dd„Z d „Z dS( i˙˙˙˙Ni(tget_file(tbackendsThttps://s3.amazonaws.com/deep-learning-models/image-models/imagenet_class_index.jsoncCsź|dkrtjƒ}n|ddhks3t‚|dkrý|dd…ddd…dd…dd…f}|dd…ddd…dd…fcd8<|dd…ddd…dd…fcd8<|dd…d dd…dd…fcd 8Hstreverse(tlentshapet ValueErrortstrt CLASS_INDEXRRtCLASS_INDEX_PATHtjsontloadtopentargsortttupletsorttTruetappend(tpredsttoptfpathtresultstpredt top_indicestitresult((s@/tmp/pip-build-isqEY4/keras/keras/applications/imagenet_utils.pytdecode_predictions)s(   4cCs?|dkrd||f}n||df}|rt|dk rk||krktdt|ƒdƒ‚qkn|}nÇ|dkr_|dk rVt|ƒdkr­tdƒ‚n|ddkrÚtdt|ƒdƒ‚n|d dk rú|d |ks|d dk r\|d |kr\td t|ƒd t|ƒd t|ƒdƒ‚q\q;d}nÜ|dk r5t|ƒdkrŒtdƒ‚n|ddkrštdt|ƒdƒ‚n|ddk rŮ|d|ksů|d dk r;|d |kr;td t|ƒd t|ƒd t|ƒdƒ‚q;nd}|S(s•Internal utility to compute/validate an ImageNet model's input shape. # Arguments input_shape: either None (will return the default network input shape), or a user-provided shape to be validated. default_size: default input width/height for the model. min_size: minimum input width/height accepted by the model. data_format: image data format to use. include_top: whether the model is expected to be linked to a classifier via a Flatten layer. # Returns An integer shape tuple (may include None entries). # Raises ValueError: in case of invalid argument values. Ris8When setting`include_top=True`, `input_shape` should be t.s0`input_shape` must be a tuple of three integers.is1The input must have 3 channels; got `input_shape=t`iisInput size must be at least Rs, got `input_shape=i˙˙˙˙N(iNN(NNi(RRRR(t input_shapet default_sizetmin_sizeR t include_topt default_shape((s@/tmp/pip-build-isqEY4/keras/keras/applications/imagenet_utils.pyt_obtain_input_shapeMsB        9    9( Rtutils.data_utilsRtRRRRRR R&R.(((s@/tmp/pip-build-isqEY4/keras/keras/applications/imagenet_utils.pyts   $