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Remove unused code

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Manav Rathi 2024-04-11 13:46:34 +05:30
parent 7bf8912dbc
commit 2bb9e77e34
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1 changed files with 0 additions and 37 deletions
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37
web/apps/photos/src/services/machineLearning/yoloFaceDetectionService.ts
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@ -156,43 +156,6 @@ class YoloFaceDetectionService implements FaceDetectionService {
};
}
/**
* @deprecated The method should not be used
*/
private imageBitmapToTensorData(imageBitmap) {
// Create an OffscreenCanvas and set its size
const offscreenCanvas = new OffscreenCanvas(
imageBitmap.width,
imageBitmap.height,
);
const ctx = offscreenCanvas.getContext("2d");
ctx.drawImage(imageBitmap, 0, 0, imageBitmap.width, imageBitmap.height);
const imageData = ctx.getImageData(
0,
0,
imageBitmap.width,
imageBitmap.height,
);
const pixelData = imageData.data;
const data = new Float32Array(
1 * 3 * imageBitmap.width * imageBitmap.height,
);
// Populate the Float32Array with normalized pixel values
for (let i = 0; i < pixelData.length; i += 4) {
// Normalize pixel values to the range [0, 1]
data[i / 4] = pixelData[i] / 255.0; // Red channel
data[i / 4 + imageBitmap.width * imageBitmap.height] =
pixelData[i + 1] / 255.0; // Green channel
data[i / 4 + 2 * imageBitmap.width * imageBitmap.height] =
pixelData[i + 2] / 255.0; // Blue channel
}
return {
data: data,
shape: [1, 3, imageBitmap.width, imageBitmap.height],
};
}
// The rowOutput is a Float32Array of shape [25200, 16], where each row represents a bounding box.
private getFacesFromYoloOutput(
rowOutput: Float32Array,