a  d@s`ddlZddlZddlZdddZdddZdd d Zdd d Zejfd dZ ej fddZ dS)NFc OsT|r|dvsJt|tj}|jdkr>t|d|jd|j|ddksTJtj|d|d\}}t||g|Ri|}nt |d} z| d d } Wn t ytd |Yn0| d krtd |d t | tjd } t | tjd } t | tj| | d| | df}Wdn1s>0Y|tjS)aRead an optical flow map. Args: flow_path (ndarray or str): Flow path. quantize (bool): whether to read quantized pair, if set to True, remaining args will be passed to :func:`dequantize_flow`. concat_axis (int): The axis that dx and dy are concatenated, can be either 0 or 1. Ignored if quantize is False. Returns: ndarray: Optical flow represented as a (h, w, 2) numpy array rz6 is not a valid quantized flow file, its dimension is .rZaxisrbutf-8zInvalid flow file: PIEHz, header does not contain PIEHrN)cv2ZimreadZIMREAD_UNCHANGEDndimIOErrorshapenpsplitdequantize_flowopenreaddecode Exceptionfromfileint32Zsqueezefloat32Zreshapeastype) Z flow_pathquantize concat_axisargskwargsZcat_flowdxdyflowfheaderwhr%`/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/basicsr/utils/flow_util.pyflowreads&     Dr'c Os|st|dd}|ddtj|jd|jdgtjd||tj }||| Wdq1sx0YnZ|dvsJt |g|Ri|\}}tj ||f|d } t jt j|d d t|| dS) aWrite optical flow to file. If the flow is not quantized, it will be saved as a .flo file losslessly, otherwise a jpeg image which is lossy but of much smaller size. (dx and dy will be concatenated horizontally into a single image if quantize is True.) Args: flow (ndarray): (h, w, 2) array of optical flow. filename (str): Output filepath. quantize (bool): Whether to quantize the flow and save it to 2 jpeg images. If set to True, remaining args will be passed to :func:`quantize_flow`. concat_axis (int): The axis that dx and dy are concatenated, can be either 0 or 1. Ignored if quantize is False. wbr r rr)dtypeNrrT)exist_ok)rwriteencoderarrayrrtofilerrflush quantize_flowZ concatenateosmakedirspathdirnamer Zimwrite) r filenamerrrrr!rrZdxdyr%r%r& flowwrite-s &  ( r6{Gz?Tc sN|j\}}}|d}|d}|r0||}||}fdd||fD}t|S)aQuantize flow to [0, 255]. After this step, the size of flow will be much smaller, and can be dumped as jpeg images. Args: flow (ndarray): (h, w, 2) array of optical flow. max_val (float): Maximum value of flow, values beyond [-max_val, max_val] will be truncated. norm (bool): Whether to divide flow values by image width/height. Returns: tuple[ndarray]: Quantized dx and dy. ).r).rcs g|]}t| dtjqS)rrZuint8.0dmax_valr%r& bz!quantize_flow..)rtuple) r r>Znormr$r#_rrZ flow_compsr%r=r&r0Ls r0cs|j|jksJ|jdks6|jdkr2|jddks6Jfdd||fD\}}|rp||jd9}||jd9}t||f}|S)a,Recover from quantized flow. Args: dx (ndarray): Quantized dx. dy (ndarray): Quantized dy. max_val (float): Maximum value used when quantizing. denorm (bool): Whether to multiply flow values with width/height. Returns: ndarray: Dequantized flow. rrcsg|]}t| dqSr8) dequantizer:r=r%r&r?ur@z#dequantize_flow..r)rr rZdstack)rrr>Zdenormr r%r=r&rfs &rcCs|t|tr|dks td|||kr>td|d|dt||||}tt||||||d}|S)agQuantize an array of (-inf, inf) to [0, levels-1]. Args: arr (ndarray): Input array. min_val (scalar): Minimum value to be clipped. max_val (scalar): Maximum value to be clipped. levels (int): Quantization levels. dtype (np.type): The type of the quantized array. Returns: tuple: Quantized array. r+levels must be a positive integer, but got min_val ( ) must be smaller than max_val ()) isinstanceint ValueErrorrZclipZminimumfloorr)arrmin_valr>levelsr)Z quantized_arrr%r%r&r~s (rcCs`t|tr|dks td|||kr>td|d|d|d|||||}|S)aMDequantize an array. Args: arr (ndarray): Input array. min_val (scalar): Minimum value to be clipped. max_val (scalar): Maximum value to be clipped. levels (int): Quantization levels. dtype (np.type): The type of the dequantized array. Returns: tuple: Dequantized array. rrFrGrHrIg?)rJrKrLr)rNrOr>rPr)Zdequantized_arrr%r%r&rEs rE)Fr)Fr)r7T)r7T) r numpyrr1r'r6r0rint64rfloat64rEr%r%r%r&s &