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torchvision/io/image.py

@@ -75,8 +75,14 @@ def decode_png(
 ) -> torch.Tensor:
     """
     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].
+
+    The values of the output tensor are in uint8 in [0, 255] for most cases. If
+    the image is a 16-bit png, then the output tensor is uint16 in [0, 65535]
+    (supported from torchvision ``0.21``. Since uint16 support is limited in
+    pytorch, we recommend calling
+    :func:`torchvision.transforms.v2.functional.to_dtype()` with ``scale=True``
+    after this function to convert the decoded image into a uint8 or float
+    tensor.
 
     Args:
         input (Tensor[1]): a one dimensional uint8 tensor containing
@@ -144,7 +150,7 @@ def decode_jpeg(
 ) -> torch.Tensor:
     """
     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:
@@ -248,8 +254,13 @@ def decode_image(
     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].
+    The values of the output tensor are in uint8 in [0, 255] for most cases. If
+    the image is a 16-bit png, then the output tensor is uint16 in [0, 65535]
+    (supported from torchvision ``0.21``. Since uint16 support is limited in
+    pytorch, we recommend calling
+    :func:`torchvision.transforms.v2.functional.to_dtype()` with ``scale=True``
+    after this function to convert the decoded image into a uint8 or float
+    tensor.
 
     Args:
         input (Tensor): a one dimensional uint8 tensor containing the raw bytes of the
@@ -277,8 +288,14 @@ def read_image(
 ) -> torch.Tensor:
     """
     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].
+
+    The values of the output tensor are in uint8 in [0, 255] for most cases. If
+    the image is a 16-bit png, then the output tensor is uint16 in [0, 65535]
+    (supported from torchvision ``0.21``. Since uint16 support is limited in
+    pytorch, we recommend calling
+    :func:`torchvision.transforms.v2.functional.to_dtype()` with ``scale=True``
+    after this function to convert the decoded image into a uint8 or float
+    tensor.
 
     Args:
         path (str or ``pathlib.Path``): path of the JPEG, PNG or GIF image.