b8a5e5db6c2c0ff9540d84c11c05b21fc6023ae6,skimage/color/colorconv.py,,rgba2rgb,#,163

Before Change

    channels = arr[..., :-1]
    out = np.empty_like(channels)

    for ichan in range(channels.shape[-1]):
        out[..., ichan] = np.clip(
            (1 - alpha) * background[ichan] + alpha * channels[..., ichan],
            a_min=0, a_max=1)

After Change

    arr = dtype.img_as_float(arr)

    background = np.ravel(background).astype(arr.dtype)
    if len(background) != 3:
        raise ValueError("background must be an array-like containing 3 RGB "
                         f"values. Got {len(background)} items")
    if np.any(background < 0) or np.any(background > 1):
        raise ValueError("background RGB values must be floats between "
                         "0 and 1.")

    background = background[np.newaxis, ...]
    alpha = arr[..., -1, np.newaxis]
    channels = arr[np.newaxis, ..., :-1]

Instances