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@HugoBde
Description
I am trying to feed a base64 image into a model, and I'm trying to use OpenCV to convert the base64 image data to a Float32Array as follow (example taken from another issue):
const matImage = OpenCV.base64ToMat(base64String); cv.OpenCV.invoke('convertTo', matImage, matImage, DataTypes.CV_32F, 1 / 255); const { buffer, channels, cols, rows } = cv.OpenCV.matToBuffer(matImage, 'float32');
However, on iOS, I end up with an empty buffer, channels is 1, cols and rows are both 0.
I tried some different inputs on both platforms and I noticed that this issue only happens when the base64 string represents a JPEG image, and on iOS.
Minimal reproducible example:
// Both base64 strings can be checked for validity here: https://base64.guru/converter/decode/image // Should be a 8x8 pixels grayscale image const jpegImageString = "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/wAALCAAIAAgBAREA/8QAFAABAAAAAAAAAAAAAAAAAAAACP/EAB4QAAEBCQAAAAAAAAAAAAAAABETEhUhN0FhZYSS/9oACAEBAAA/AH7JbMvnXSS7aKtgKmH/2Q==" // Should be a 3 channels 8x8 image const pngImageString = "iVBORw0KGgoAAAANSUhEUgAAAAgAAAAIAQMAAAD+wSzIAAAABlBMVEX///+/v7+jQ3Y5AAAADklEQVQI12P4AIX8EAgALgAD/aNpbtEAAAAASUVORK5CYII=" const jpegImage = OpenCV.base64ToMat(jpegImageString); // buffer is empty const { buffer, channels, cols, rows } = cv.OpenCV.matToBuffer(matImage, 'uint8'); const pngImage = OpenCV.base64ToMat(pngImageString); // buffer is filled, channels == 3, cols and rows == 8 const { buffer, channels, cols, rows } = cv.OpenCV.matToBuffer(matImage, 'uint8');
As stated above, this issue only seems to happen on iOS, the same code on my Android device will produce the expected result for the JPEG image.
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