U d@sfdZddlZddlmZmZddZddZGdd d eZ e Z Gd d d eZ Gd d d eZ dS)a(Functions that could be used to visualize Tensors. This is adapted from the old-time iceberk package that Yangqing wrote... Oh gold memories. Before decaf and caffe. Why iceberk? Because I was at Berkeley, bears are vegetarian, and iceberg lettuce has layers of leaves. (This joke is so lame.) N)cmpyplotcCs*|j}||d|d|d|dS)zConvert a HWC array to CHW.ndimswapaxesZarrrr ;/tmp/pip-unpacked-wheel-ua33x9lu/caffe2/python/visualize.py ChannelFirstsr cCs*|j}||d|d|d|dS)zConvert a CHW array to HWC.rrrrr r r r ChannelLastsrc@sVeZdZdZdddZdddZddejfdd Zd d Z dejfd d Z ddZ dS)PatchVisualizerz&PatchVisualizer visualizes patches. rcCs ||_dSN)gap)selfrr r r __init__ szPatchVisualizer.__init__NcCsrt|jdkr |||}n$t|jdkrD|jddkrDtdt|jdkr`|dkr`tj}tj||d|S)zVisualizes one single patch. The input patch could be a vector (in which case we try to infer the shape of the patch), a 2-D matrix, or a 3-D matrix whose 3rd dimension has 3 channels. rrr$The input patch shape isn't correct.N)cmap) lenshapereshapeget_patch_shape ValueErrorrgrayrimshow)rpatchrr r r ShowSingle#szPatchVisualizer.ShowSinglecCs|jd}|dkr&ttt|}tt|t|}t|jdkrj||jdf||d}t |jdd|j }|t ||g|j }t|jdkr|jddkr||jdd}t |} |dkrt j }n&|jddkrt |d} ntd nt |} |dkr&t j }t| ||} t|D]R} | ||d} | ||d} || | | | |jd| | |jdf<q@tj| |d d td | S) a3Visualize multiple patches. In the passed in patches matrix, each row is a patch, in the shape of either n*n, n*n*1 or n*n*3, either in a flattened format (so patches would be a 2-D array), or a multi-dimensional tensor. We will try our best to figure out automatically the patch size. rNrrr)rz%The input patch shape isn't expected.Znearest)r interpolationoff)rintnpceilsqrtfloatrrrarrayrtuplerrrZonesrangerrZaxis)rpatchesZncolsrbg_funcZ num_patchesZnrowsZpatch_size_expandZ image_sizeZ image_shapeimagepidrowcolr r r ShowMultiple4s>    * zPatchVisualizer.ShowMultiplecOs<|t|}|t|ttjj}|j|f||S)z~Similar to ShowMultiple, but always normalize the values between 0 and 1 for better visualization of image-type data. )r$minmaxZfinfoZfloat64Zepsr1)rr+argskwargsr r r ShowImages`szPatchVisualizer.ShowImagescCs6t|jdkrtdt|jdd}|j|||dS)z This function shows the channels of a patch. The incoming patch should have shape [w, h, num_channels], and each channel will be visualized as a separate gray patch. rrrr)rr,)rrrr$r Tr1)rrrr,Zpatch_reorderedr r r ShowChannelshszPatchVisualizer.ShowChannelscCs^t|j}|t|krJt|jd}|t|kr@td||dfSt|}||fSdS)zGets the shape of a single patch. Basically it tries to interpret the patch as a square, and also check if it is in color (3 channels) g@z#I can't figure out the patch shape.rN)r$r&sizefloorrr#)rrZedgeLenr r r rss  zPatchVisualizer.get_patch_shape)r)N) __name__ __module__ __qualname____doc__rrr$Zmeanr1r6r8rr r r r rs  , rc@s<eZdZeddZeddZeddZeddZd S) NHWCcOstj||dSr)_default_visualizerrr4r5r r r rszNHWC.ShowSinglecOstj||dSr)r@r1rAr r r r1szNHWC.ShowMultiplecOstj||dSr)r@r6rAr r r r6szNHWC.ShowImagescOstj||dSr)r@r8rAr r r r8szNHWC.ShowChannelsNr;r<r= staticmethodrr1r6r8r r r r r?s   r?c@s<eZdZeddZeddZeddZeddZd S) NCHWcOstjt|f||dSr)r@rrrr4r5r r r rszNCHW.ShowSinglecOstjt|f||dSr)r@r1rrEr r r r1szNCHW.ShowMultiplecOstjt|f||dSr)r@r6rrEr r r r6szNCHW.ShowImagescOstjt|f||dSr)r@r8rrEr r r r8szNCHW.ShowChannelsNrBr r r r rDs   rD) r>Znumpyr$Z matplotlibrrr robjectrr@r?rDr r r r s i