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thermalcam.py
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thermalcam.py
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import cv2
import time
import numpy
import random
import math
#a hack to wake our bus if it hangs....
import subprocess
p = subprocess.run(['i2cdetect', '-y','1', '0x33', '0x33'])
#######################################
from picamera.array import PiRGBArray
from picamera import PiCamera
import numpy as np
camera = PiCamera()
camera.resolution = (288, 368) #start with a slightly larger image so we can crop and align later!
camera.framerate = 20
rawCapture = PiRGBArray(camera, size=(288, 368))
# allow the camera to warmup
time.sleep(0.1)
nmin = 0
nmax = 255
alpha1 = 0.5
alpha2 = 0.5
prevData = []
for frame in camera.capture_continuous(rawCapture, format="rgb", use_video_port=True):
# Capture frame-by-frame
frame = frame.array
frame = cv2.flip( frame, 0 ) #flip if neccesary
#crop and align visible image...
#crop image y start yend, xstart xend
frame = frame[5:325, 10:250]
heatmap = np.zeros((32,24,3), np.uint8) #create the blank image to work from
data = np.fromfile('/tmp/heatmap.csv', dtype=float, count=-1, sep=',') #get the data
if np.array_equal(data,prevData):
print('Data stall...Probing i2c')
p = subprocess.run(['i2cdetect', '-y','1', '0x33', '0x33'])
prevData = data
index = 0
#add to the image
if len(data) == 768:
for y in range (0,32):
for x in range (0,24):
val = (data[index]*10)-100
if math.isnan(val):
val = 0
if val > 255:
val=255
#print(index)
#print(data)
heatmap[y,x] = (val,val,val)
if(y == 16) and (x == 12):
temp = data[index]
index+=1
heatmap = cv2.flip(heatmap, -1 ) #flip heatmap to match image
prev_heatmap = heatmap #save the heatmap in case we get a data miss
else:
print("Data miss...Loading previous thermal image")
try:
heatmap = prev_heatmap
except:
print("Previous heatmap does not exist!")
heatmap = cv2.normalize(heatmap,None,nmin,nmax,cv2.NORM_MINMAX)
heatmap = cv2.applyColorMap(heatmap, cv2.COLORMAP_JET)
heatmap = cv2.resize(heatmap,(240,320),interpolation=cv2.INTER_CUBIC)
# Display the resulting frame
cv2.namedWindow('Thermal',cv2.WINDOW_NORMAL)
#Sharpen the image up so we can see edges under the heatmap
kernel = np.array([[-1,-1,-1], [-1,9,-1], [-1,-1,-1]])
frame = cv2.filter2D(frame, -1, kernel)
frame = cv2.addWeighted(frame,alpha1,heatmap,alpha2,0) #combine the images
cv2.line(frame,(120,150),(120,170),(0,0,0),1) #vline
cv2.line(frame,(110,160),(130,160),(0,0,0),1) #hline
cv2.putText(frame,'Temp: '+str(temp), (10, 10),\
cv2.FONT_HERSHEY_SIMPLEX, 0.3,(0, 255, 255), 1, cv2.LINE_AA)
cv2.imshow('Thermal',frame)
# clear the stream in preparation for the next frame
rawCapture.truncate(0)
res = cv2.waitKey(1)
#print(res)
if res == 113: #q
break
if res == 97: #a
nmin += 10
print(nmin)
if res == 122: #z
nmin -= 10
print(nmin)
if res == 115: #s
nmax += 10
print(nmax)
if res == 120: #x
nmax -= 10
print(nmax)
if res == 100: #d
alpha1 += 0.1
alpha2 -= 0.1
if res == 99: #c
alpha1 -= 0.1
alpha2 += 0.1
cv2.destroyAllWindows()