aa8b2ddf144968084044a944a9efd80ece983b0a,imgaug/augmenters/contrast.py,,adjust_contrast_log,#Any#Any#,263

Before Change

        // of size 1
        gain = np.float32(gain)
        table = min_value + dynamic_range * gain * np.log2(1 + value_range)
        arr_aug = cv2.LUT(
            arr, np.clip(table, min_value, max_value).astype(arr.dtype))
        if arr.ndim == 3 and arr_aug.ndim == 2:
            return arr_aug[..., np.newaxis]
        return arr_aug
    return ski_exposure.adjust_log(arr, gain=gain)

After Change

        // of size 1
        gain = np.float32(gain)
        table = min_value + dynamic_range * gain * np.log2(1 + value_range)
        table = np.clip(table, min_value, max_value).astype(arr.dtype)
        arr_aug = ia.apply_lut(arr, table)
        return arr_aug
    return ski_exposure.adjust_log(arr, gain=gain)

Instances