我正在尝试检测从覆盆子pi picamera拍摄的两张照片之间的运动。我是通过比较原始像素数据和其他像素数据来做到这一点的。下面是一个简单的脚本,我用它来测试比较。
import picamera
import datetime
from fractions import Fraction
import time
import numpy as np
oldImage = np.empty((48, 64, 3))
newImage = np.empty((48, 64, 3))
color_offset = 25
with picamera.PiCamera() as camera:
camera.resolution = (64,48)
camera.start_preview()
time.sleep(2)
camera.capture(oldImage, "rgb")
time.sleep(5)
camera.capture(newImage, "rgb")
x = 0
y = 0
diff = 0
while(x < np.size(newImage, 0)):
while(y < np.size(newImage, 1)):
val1 = newImage[x, y, 0] + newImage[x, y, 1] + newImage[x, y, 2]
val2 = oldImage[x, y, 0] + oldImage[x, y, 1] + oldImage[x, y, 2]
print(val1)
print(val2)
pd = abs(val2 - val1)
print(pd)
if(pd > color_offset):
diff += 1
y +=1
x += 1
y=0
print(str(diff))在脚本中,我启动相机,拍摄第一张照片,等待几秒钟,拍摄第二张照片并计算差值。然而,每次我运行这个脚本时,"val1“变量总是0.0。任何帮助都将不胜感激。
发布于 2018-03-11 01:38:15
因此,对于2x2的“图像”,您的颜色值添加
import numpy as np
newImage = np.array([[[0,0,0], [1,0,0]], [[0,1,0], [0,1,1]]])
x = 0
y = 0
while(x < np.size(newImage, 0)):
while(y < np.size(newImage, 1)):
val1 = newImage[x, y, 0] + newImage[x, y, 1] + newImage[x, y, 2]
print(val1)
y +=1
x += 1
y = 0产生
0
1
1
2正如我所料。
你期望的结果是什么?您的数据是否正确(提供示例数据)?
https://stackoverflow.com/questions/49211826
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