o 0i1 @s(ddlmZddlmZmZddlmZddlZddlm Z ddl m Z ze dWne e fyFZzed ed WYdZ[ndZ[wwGd d d eZd edejfddZdedejddfddZejdfdejdededejfddZd3dejdedejfddZd3dejdedefdd Zejd!dfdejded"ededejf d#d$Z %d4deejeejfd&edeejeejffd'd(Zd4dejded&efd)d*Zejdfdejdededejfd+d,Zejdfd edededejfd-d.Zejfd ededejfd/d0Zdejdejfd1d2Z dS)5)Enum)ListUnion)warnN) _load_library)_log_api_usage_onceimagez(Failed to load image Python extension: 'z'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?c@s$eZdZdZdZdZdZdZdZdS) ImageReadModeaV Support for various modes while reading images. Use ``ImageReadMode.UNCHANGED`` for loading the image as-is, ``ImageReadMode.GRAY`` for converting to grayscale, ``ImageReadMode.GRAY_ALPHA`` for grayscale with transparency, ``ImageReadMode.RGB`` for RGB and ``ImageReadMode.RGB_ALPHA`` for RGB with transparency. rrN) __name__ __module__ __qualname____doc__ UNCHANGEDGRAY GRAY_ALPHARGB RGB_ALPHArrR/home/ubuntu/SoloSpeech/.venv/lib/python3.10/site-packages/torchvision/io/image.pyr s r pathreturncCs2tjstjstttjjt|}|S)z Reads and outputs the bytes contents of a file as a uint8 Tensor with one dimension. Args: path (str or ``pathlib.Path``): the path to the file to be read Returns: data (Tensor) ) torchjit is_scripting is_tracingr read_fileopsr str)rdatarrrr(s rfilenamer"cCs4tjstjstttjjt||dS)z Writes the contents of an uint8 tensor with one dimension to a file. Args: filename (str or ``pathlib.Path``): the path to the file to be written data (Tensor): the contents to be written to the output file N) rrrrr write_filer r r!)r#r"rrrr$9s r$Finputmodeapply_exif_orientationcCs6tjstjstttjj||jd|}|S)a Decodes a PNG image into a 3 dimensional RGB or grayscale Tensor. Optionally converts the image to the desired format. The values of the output tensor are uint8 in [0, 255]. Args: input (Tensor[1]): a one dimensional uint8 tensor containing the raw bytes of the PNG image. mode (ImageReadMode): the read mode used for optionally converting the image. Default: ``ImageReadMode.UNCHANGED``. See `ImageReadMode` class for more information on various available modes. apply_exif_orientation (bool): apply EXIF orientation transformation to the output tensor. Default: False. Returns: output (Tensor[image_channels, image_height, image_width]) F) rrrrr decode_pngr r valuer%r&r'outputrrrr(Gsr(compression_levelcCs0tjstjstttjj||}|S)a  Takes an input tensor in CHW layout and returns a buffer with the contents of its corresponding PNG file. Args: input (Tensor[channels, image_height, image_width]): int8 image tensor of ``c`` channels, where ``c`` must 3 or 1. compression_level (int): Compression factor for the resulting file, it must be a number between 0 and 9. Default: 6 Returns: Tensor[1]: A one dimensional int8 tensor that contains the raw bytes of the PNG file. )rrrrr encode_pngr r )r%r-r+rrrr.dsr.cCs4tjstjsttt||}t||dS)a Takes an input tensor in CHW layout (or HW in the case of grayscale images) and saves it in a PNG file. Args: input (Tensor[channels, image_height, image_width]): int8 image tensor of ``c`` channels, where ``c`` must be 1 or 3. filename (str or ``pathlib.Path``): Path to save the image. compression_level (int): Compression factor for the resulting file, it must be a number between 0 and 9. Default: 6 N)rrrrr write_pngr.r$)r%r#r-r+rrrr/ys  r/cpudevicecCs`tjstjsttt|}|jdkr$tjj ||j |}|Stjj ||j |}|S)a Decodes a JPEG image into a 3 dimensional RGB or grayscale Tensor. Optionally converts the image to the desired format. The values of the output tensor are uint8 between 0 and 255. Args: input (Tensor[1]): a one dimensional uint8 tensor containing the raw bytes of the JPEG image. This tensor must be on CPU, regardless of the ``device`` parameter. mode (ImageReadMode): the read mode used for optionally converting the image. The supported modes are: ``ImageReadMode.UNCHANGED``, ``ImageReadMode.GRAY`` and ``ImageReadMode.RGB`` Default: ``ImageReadMode.UNCHANGED``. See ``ImageReadMode`` class for more information on various available modes. device (str or torch.device): The device on which the decoded image will be stored. If a cuda device is specified, the image will be decoded with `nvjpeg `_. This is only supported for CUDA version >= 10.1 .. betastatus:: device parameter .. warning:: There is a memory leak in the nvjpeg library for CUDA versions < 11.6. Make sure to rely on CUDA 11.6 or above before using ``device="cuda"``. apply_exif_orientation (bool): apply EXIF orientation transformation to the output tensor. Default: False. Only implemented for JPEG format on CPU. Returns: output (Tensor[image_channels, image_height, image_width]) cuda) rrrrr decode_jpegr1typer r decode_jpeg_cudar))r%r&r1r'r+rrrr3s%  r3Kqualitycstjstjsttdksdkrtdt|tr>|s%td|dj j dkr5tj j |Sfdd|DS|j j dkrOtj j |gdStj j |S) a- Takes a (list of) input tensor(s) in CHW layout and returns a (list of) buffer(s) with the contents of the corresponding JPEG file(s). .. note:: Passing a list of CUDA tensors is more efficient than repeated individual calls to ``encode_jpeg``. For CPU tensors the performance is equivalent. Args: input (Tensor[channels, image_height, image_width] or List[Tensor[channels, image_height, image_width]]): (list of) uint8 image tensor(s) of ``c`` channels, where ``c`` must be 1 or 3 quality (int): Quality of the resulting JPEG file(s). Must be a number between 1 and 100. Default: 75 Returns: output (Tensor[1] or list[Tensor[1]]): A (list of) one dimensional uint8 tensor(s) that contain the raw bytes of the JPEG file. r dz;Image quality should be a positive number between 1 and 100zDencode_jpeg requires at least one input tensor when a list is passedrr2csg|] }tjj|qSr)rr r encode_jpeg).0r r7rr szencode_jpeg..)rrrrrr9 ValueError isinstancelistr1r4r r encode_jpegs_cuda)r%r7rr;rr9s  r9cCsDtjstjsttt||}t|tjsJt ||dS)a Takes an input tensor in CHW layout and saves it in a JPEG file. Args: input (Tensor[channels, image_height, image_width]): int8 image tensor of ``c`` channels, where ``c`` must be 1 or 3. filename (str or ``pathlib.Path``): Path to save the image. quality (int): Quality of the resulting JPEG file, it must be a number between 1 and 100. Default: 75 N) rrrrr write_jpegr9r>Tensorr$)r%r#r7r+rrrrAs   rAcCs4tjstjstttjj||j|}|S)a{ Detect whether an image is a JPEG, PNG or GIF and performs the appropriate operation to decode the image into a 3 dimensional RGB or grayscale Tensor. Optionally converts the image to the desired format. The values of the output tensor are uint8 in [0, 255]. Args: input (Tensor): a one dimensional uint8 tensor containing the raw bytes of the PNG or JPEG image. mode (ImageReadMode): the read mode used for optionally converting the image. Default: ``ImageReadMode.UNCHANGED``. See ``ImageReadMode`` class for more information on various available modes. Ignored for GIFs. apply_exif_orientation (bool): apply EXIF orientation transformation to the output tensor. Ignored for GIFs. Default: False. Returns: output (Tensor[image_channels, image_height, image_width]) ) rrrrr decode_imager r r)r*rrrrCsrCcCs2tjstjsttt|}t|||dS)a Reads a JPEG, PNG or GIF image into a 3 dimensional RGB or grayscale Tensor. Optionally converts the image to the desired format. The values of the output tensor are uint8 in [0, 255]. Args: path (str or ``pathlib.Path``): path of the JPEG, PNG or GIF image. mode (ImageReadMode): the read mode used for optionally converting the image. Default: ``ImageReadMode.UNCHANGED``. See ``ImageReadMode`` class for more information on various available modes. Ignored for GIFs. apply_exif_orientation (bool): apply EXIF orientation transformation to the output tensor. Ignored for GIFs. Default: False. Returns: output (Tensor[image_channels, image_height, image_width]) )r')rrrrr read_imagerrC)rr&r'r"rrrrDsrDcCst|}tjj||jdS)NT)rrr r r(r))rr&r"rrr _read_png_16-srEcCs*tjstjstttjj|S)a& Decode a GIF image into a 3 or 4 dimensional RGB Tensor. The values of the output tensor are uint8 between 0 and 255. The output tensor has shape ``(C, H, W)`` if there is only one image in the GIF, and ``(N, C, H, W)`` if there are ``N`` images. Args: input (Tensor[1]): a one dimensional contiguous uint8 tensor containing the raw bytes of the GIF image. Returns: output (Tensor[image_channels, image_height, image_width] or Tensor[num_images, image_channels, image_height, image_width]) )rrrrr decode_gifr r )r%rrrrF2srF)r,)r6)!enumrtypingrrwarningsrr extensionrutilsr ImportErrorOSErrorer r!rBrr$rboolr(intr.r/r3r9rArCrDrErFrrrrs         0 & !