System information (version)

• OpenCV => 4.5

Detailed description

The documentation for color conversions does not explain what _FULL does, e.g. https://docs.opencv.org/4.5.0/d8/d01/group__imgproc__color__conversions.html#gga4e0972be5de079fed4e3a10e24ef5ef0ae0070d7e97f1e565cc0992d038e5498e
I believe this should be explained for each color conversion as there are different inter

Change tensor.data to tensor.detach() due to
pytorch/pytorch#6990 (comment)
tensor.detach() is more robust than tensor.data.

Hello, dear Mediapipe guys.

I want to inference the hand pose with Mediapipe model and my own model.

I have my own tf-lite models, it can work on the RGB bitmap.

I try to query the RGB bitmap from input frame with data packet.

My code is

private static final String INPUT_VIDEO_STREAM_NAME = "input_video";
processor.addPacketCallback(INPUT_VIDEO_STREAM_NAME, (packet)->{
 

Current pytorch implementation ignores the argument split_f in the function train_batch_ch13 as shown below.

def train_batch_ch13(net, X, y, loss, trainer, devices):
    if isinstance(X, list):
        # Required for BERT Fine-tuning (to be covered later)
        X = [x.to(devices[0]) for x in X]
    else:
        X = X.to(devices[0])
...

Todo: Define the argument `

📚 Documentation

The methods in functional_pil.py and functional_tensor.py are private but contain a lot of duplicate documentation that is not currently used. It's worth cleaning this up and updating the documentation on functional.py to highlight potential differences or limitations between the two backends.

Here is an example of how we typically highlight backend differences in To