我有一个生成渐变的简单函数。我想改变渐变的方向,以对角线左上角。
im = Image.new('RGB', (300, 300))
ld = im.load()
# A map of rgb points in your distribution
# [distance, (r, g, b)]
# distance is percentage from left edge
heatmap = [
[0.0, (0, 0, 0)],
[1.00, (0.8, 0.0, 1.0)],
]
def gaussian(x, a, b, c, d=0):
return a * math.exp(-(x - b) ** 2 / (2 * c ** 2)) + d
def pixel(x, width=100, map=[], spread=1):
width = float(width)
r = sum([gaussian(x, p[1][0], p[0] * width, width / (spread * len(map))) for p in map])
g = sum([gaussian(x, p[1][1], p[0] * width, width / (spread * len(map))) for p in map])
b = sum([gaussian(x, p[1][2], p[0] * width, width / (spread * len(map))) for p in map])
return min(1.0, r), min(1.0, g), min(1.0, b)
for x in range(im.size[0]):
r, g, b = pixel(x, width=300, map=heatmap)
r, g, b = [int(256 * v) for v in (r, g, b)]
for y in range(im.size[1]):
ld[x, y] = r, g, b
我发现我可以从上到下,从左到右改变方向,但不知道如何对角地改变它。
for y in range(im.size[1]):
ld[y, x] = r, g, b
...给出
for y in range(im.size[1]):
ld[x, y] = r, g, b
...给出
这是否可以使用当前功能以及如何实现?
答案 0 :(得分:1)
您的width
应为300 * 300
然后用下面的代码替换你的循环应该可以工作
for y in range(im.size[1]-1):
r, g, b = pixel(y, width=300*300, map=heatmap)
r, g, b = [int(256 * v) for v in (r, g, b)]
for x_ in range(y+1):
ld[x_,y - x_] = r, g, b
for x in range(im.size[0]):
r, g, b = pixel(300+x, width=300*300, map=heatmap)
r, g, b = [int(256 * v) for v in (r, g, b)]
for y_ in range(im.size[1]):
ld[x - y_,y_] = r, g, b
没有经过测试,但这样的事情应该有效
答案 1 :(得分:1)
尝试这样的事情:
heatmap = [
[0.0, (0, 0, 0)],
[1.00, (0.8, 0.0, 1.0)],
]
# x y coordinates of starting point for gradient
start_x = 0
start_y = 0
for x in range(im.size[0]):
for y in range(im.size[1]):
# taxicab distance for linear gradient
dist = math.fabs(start_x - x) + math.fabs(start_y - y)
# for circular gradient
# dist = math.sqrt(math.pow(start_x - x,2) + math.pow(start_y - y,2))
start_rgb = heatmap[0][1]
end_rgb = heatmap[1][1]
dist = dist / (im.size[0] + im.size[1])
# for circular gradient
# dist = dist / (math.sqrt(math.pow(im.size[0],2) + math.pow(im.size[1],2))
r, g, b = map(lambda x,y: x+y, map(lambda a: a*dist, start_rgb), map(lambda b: b*dist, end_rgb))
r, g, b = [int(256 * v) for v in (r, g, b)]
ld[x, y] = r, g, b
我假设start_x
和start_y
位于图片的四个角之一。如果不是,请相应地调整start_x - x
和start_y - y
。