picamera_component_plotter.py

import time
from picamera import PiCamera
import numpy as np
import matplotlib.pyplot as plt

t1 = time.time()
h = 640 # change this to anything < 2592 (anything over 2000 will likely get a memory error when plotting
cam_res = (int(h),int(0.75*h)) # keeping the natural 3/4 resolution of the camera
cam_res = (int(16*np.floor(cam_res[1]/16)),int(32*np.floor(cam_res[0]/32)))
cam = PiCamera()
cam.resolution = (cam_res[1],cam_res[0])
data = np.empty((cam_res[0],cam_res[1],3),dtype=np.uint8)
x,y = np.meshgrid(np.arange(np.shape(data)[1]),np.arange(0,np.shape(data)[0]))
cam.capture(data,'rgb')
fig,axn = plt.subplots(2,2,sharex=True,sharey=True)
fig.set_size_inches(9,7)
axn[0,0].pcolormesh(x,y,data[:,:,0],cmap='gray')
axn[0,1].pcolormesh(x,y,data[:,:,1],cmap='gray')
axn[1,0].pcolormesh(x,y,data[:,:,2],cmap='gray')
axn[1,1].imshow(data,label='Full Color')
axn[0,0].title.set_text('Red')
axn[0,1].title.set_text('Green')
axn[1,0].title.set_text('Blue')
axn[1,1].title.set_text('All')
print('Time to plot all images: {0:2.1f}'.format(time.time()-t1))
data = np.empty((cam_res[0],cam_res[1],3),dtype=np.uint8)
plt.savefig('component_plot.png',dpi=150)
plt.cla()
plt.close()