To help you get started, we've collected the most common ways that scipy is being used within popular public projects.

prannayk / videoMultiGAN / acrcn / step_2_gen_anneal.py View on Github

def save_visualization(X, nh_nw=(batch_size,2+frames), save_path='../results/%s/sample.jpg'%(sys.argv[4])):
	X = morph(X)
	print(X.shape)
	h,w = X.shape[1], X.shape[2]
	img = np.zeros((h * nh_nw[0], w * nh_nw[1], 3))
	
	for n,x in enumerate(X):
		j = n // nh_nw[1]
		i = n % nh_nw[1]
		img[j*h:j*h+h, i*w:i*w+w, :] = x[:,:,:3]
	np.save("%s.%s"%(save_path.split(".")[0],".npy"), img)
	scipy.misc.imsave(save_path, img)

View more ways to use scipy

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

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