You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
73 lines
2.1 KiB
73 lines
2.1 KiB
from builtins import range
|
|
from past.builtins import xrange
|
|
|
|
from math import sqrt, ceil
|
|
import numpy as np
|
|
|
|
def visualize_grid(Xs, ubound=255.0, padding=1):
|
|
"""
|
|
Reshape a 4D tensor of image data to a grid for easy visualization.
|
|
|
|
Inputs:
|
|
- Xs: Data of shape (N, H, W, C)
|
|
- ubound: Output grid will have values scaled to the range [0, ubound]
|
|
- padding: The number of blank pixels between elements of the grid
|
|
"""
|
|
(N, H, W, C) = Xs.shape
|
|
grid_size = int(ceil(sqrt(N)))
|
|
grid_height = H * grid_size + padding * (grid_size - 1)
|
|
grid_width = W * grid_size + padding * (grid_size - 1)
|
|
grid = np.zeros((grid_height, grid_width, C))
|
|
next_idx = 0
|
|
y0, y1 = 0, H
|
|
for y in range(grid_size):
|
|
x0, x1 = 0, W
|
|
for x in range(grid_size):
|
|
if next_idx < N:
|
|
img = Xs[next_idx]
|
|
low, high = np.min(img), np.max(img)
|
|
grid[y0:y1, x0:x1] = ubound * (img - low) / (high - low)
|
|
# grid[y0:y1, x0:x1] = Xs[next_idx]
|
|
next_idx += 1
|
|
x0 += W + padding
|
|
x1 += W + padding
|
|
y0 += H + padding
|
|
y1 += H + padding
|
|
# grid_max = np.max(grid)
|
|
# grid_min = np.min(grid)
|
|
# grid = ubound * (grid - grid_min) / (grid_max - grid_min)
|
|
return grid
|
|
|
|
def vis_grid(Xs):
|
|
""" visualize a grid of images """
|
|
(N, H, W, C) = Xs.shape
|
|
A = int(ceil(sqrt(N)))
|
|
G = np.ones((A*H+A, A*W+A, C), Xs.dtype)
|
|
G *= np.min(Xs)
|
|
n = 0
|
|
for y in range(A):
|
|
for x in range(A):
|
|
if n < N:
|
|
G[y*H+y:(y+1)*H+y, x*W+x:(x+1)*W+x, :] = Xs[n,:,:,:]
|
|
n += 1
|
|
# normalize to [0,1]
|
|
maxg = G.max()
|
|
ming = G.min()
|
|
G = (G - ming)/(maxg-ming)
|
|
return G
|
|
|
|
def vis_nn(rows):
|
|
""" visualize array of arrays of images """
|
|
N = len(rows)
|
|
D = len(rows[0])
|
|
H,W,C = rows[0][0].shape
|
|
Xs = rows[0][0]
|
|
G = np.ones((N*H+N, D*W+D, C), Xs.dtype)
|
|
for y in range(N):
|
|
for x in range(D):
|
|
G[y*H+y:(y+1)*H+y, x*W+x:(x+1)*W+x, :] = rows[y][x]
|
|
# normalize to [0,1]
|
|
maxg = G.max()
|
|
ming = G.min()
|
|
G = (G - ming)/(maxg-ming)
|
|
return G
|