Getting yolov8-pose onnx model output 1 x 56 x 8400 ? What's the possible fix in Javascript? about ultralytics HOT 1 OPEN

@complete-dope hello! It looks like you need some help interpreting and post-processing the output from the YOLOv8-pose ONNX model in JavaScript.

The shape 1 x 56 x 8400 indicates a common format where:

• 1: Represents the batch size.
• 56: Is the number of channels. Each channel in this context likely represents a different component or attribute of the keypoints and their confidence values.
• 8400: Stands for the flattened dimensions of output data for the keypoints, with each keypoint possibly having its own X, Y coordinates and a confidence score.

To process these outputs in JavaScript, you’ll typically want to reshape or decode them into a more interpretable format (like separate X, Y coordinates and confidence for each keypoint). Here's an example snippet that might help guide you:

const output = modelOutput.data;  // pseudo code, replace with actual ONNX model output retrieval 
const keypoints = [];
const numKeypoints = (8400 / 3);  // if each keypoint has x, y, and confidence

for(let i = 0; i < numKeypoints; i++) {
    const x = output[i * 3];
    const y = output[i * 3 + 1];
    const confidence = output[i * 3 + 2];
    keypoints.push({x, y, confidence});
}

// Now you can use the 'keypoints' array as needed

This code assumes that each set of 3 values in the flat 8400-length array corresponds to the x-coordinate, y-coordinate, and confidence level of a keypoint. Modify the above as necessary to match the specific structure of your output.

Happy coding! 😊 If you need further clarification, feel free to ask!

from ultralytics.