[Docs] Models: README: Fix channel number (#22530)

Fix the channel number for the V-channel of the supercombo input image stream
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Ewout ter Hoeven 2021-10-12 19:34:53 +02:00 committed by GitHub
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@ -8,7 +8,7 @@ To view the architecture of the ONNX networks, you can use [netron](https://netr
* Each 256 * 512 image is represented in YUV420 with 6 channels : 6 * 128 * 256 * Each 256 * 512 image is represented in YUV420 with 6 channels : 6 * 128 * 256
* Channels 0,1,2,3 represent the full-res Y channel and are represented in numpy as Y[::2, ::2], Y[::2, 1::2], Y[1::2, ::2], and Y[1::2, 1::2] * Channels 0,1,2,3 represent the full-res Y channel and are represented in numpy as Y[::2, ::2], Y[::2, 1::2], Y[1::2, ::2], and Y[1::2, 1::2]
* Channel 4 represents the half-res U channel * Channel 4 represents the half-res U channel
* Channel 4 represents the half-res V channel * Channel 5 represents the half-res V channel
* **desire** * **desire**
* one-hot encoded vector to command model to execute certain actions, bit only needs to be sent for 1 frame : 8 * one-hot encoded vector to command model to execute certain actions, bit only needs to be sent for 1 frame : 8
* **traffic convention** * **traffic convention**