ValueError: ‘x0‘ must only have one dimension.

1.代码问题

 scipy.optimize.minimale函数引发x0的错误，x0.ndim>1.

x0 = np.zeros_like(frame)
res = minimize(l1_regularization, x0, args=(frame, scale_factor), method='L-BFGS-B')
denoised_frame = res.x.reshape(frame.shape)
denoised_frames.append(denoised_frame.astype(np.uint8))

2.解决方案

x0 = np.zeros_like(frame)

res = minimize(l1_regularization, x0.flatten(), args=(frame, scale_factor), method='L-BFGS-B')
denoised_frame = res.x.reshape(frame.shape)
denoised_frames.append(denoised_frame.astype(np.uint8))

对X0进行降维，在后面加上flatten函数