aadd7d651389f213aaf33b08ab6f533a3ecc59db,cellprofiler/modules/correctilluminationcalculate.py,CorrectIlluminationCalculate,apply_scaling,#CorrectIlluminationCalculate#Any#Any#,711

Before Change

        if sorted_pixel_data.shape[0] == 0:
            return image
        sorted_pixel_data.sort()
        if self.rescale_option == cps.YES:
            idx = int(sorted_pixel_data.shape[0] * ROBUST_FACTOR)
            robust_minimum = sorted_pixel_data[idx]
            pixel_data = pixel_data.copy()
            pixel_data[pixel_data < robust_minimum] = robust_minimum
        elif self.rescale_option == RE_MEDIAN:
            idx = int(sorted_pixel_data.shape[0]/2)
            robust_minimum = sorted_pixel_data[idx]
        if robust_minimum == 0:
            return image
        output_pixels = pixel_data / robust_minimum
        output_image = cpi.Image(output_pixels, parent_image = orig_image)

After Change

        if image.pixel_data.ndim == 2:
            output_pixels = scaling_fn_2d(image.pixel_data)
        else:
            output_pixels = np.dstack([
                scaling_fn_2d(x) for x in image.pixel_data.transpose(2, 0, 1)])
        output_image = cpi.Image(output_pixels, parent_image = orig_image)
        return output_image
    
    def validate_module(self, pipeline):

Instances