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PostLab1/postlab3.py

+
+import numpy as np
+import time
+from picamera2 import Picamera2
+from picamera2.encoders import H264Encoder
+from picamera2.outputs import CircularOutput
+from libcamera import controls
+import cv2
+
+from sense_hat import SenseHat
+from time import sleep
+
+
+sense=SenseHat()
+
+
+sense.clear() ## to clear the LED matrix
+
+picam2=Picamera2()  ## Create a camera object
+
+dispW=1280
+dispH=720
+## Next, we configure the preview window size that determines how big should the image be from the camera, the bigger the image the more the details you capture but the slower it runs
+## the smaller the size, the faster it can run and get more frames per second but the resolution will be lower. We keep 
+picam2.preview_configuration.main.size= (dispW,dispH)  ## 1280 cols, 720 rows. Can also try smaller size of frame as (640,360) and the largest (1920,1080)
+## with size (1280,720) you can get 30 frames per second
+
+## since OpenCV requires RGB configuration we set the same format for picam2. The 888 implies # of bits on Red, Green and Blue
+picam2.preview_configuration.main.format= "RGB888"
+picam2.preview_configuration.align() ## aligns the size to the closest standard format
+picam2.preview_configuration.controls.FrameRate=30 ## set the number of frames per second, this is set as a request, the actual time it takes for processing each frame and rendering a frame can be different
+
+picam2.configure("preview")
+## 3 types of configurations are possible: preview is for grabbing frames from picamera and showing them, video is for grabbing frames and recording and images for capturing still images.
+
+faceCascade = cv2.CascadeClassifier("/home/pi/Downloads/haar.xml")
+picam2.start()
+
+temperature=sense.get_temperature()
+initTemp=round(temperature,2)  ## round temperature to 1 decimal place
+flag = True
+while flag:
+	temperature=sense.get_temperature()
+	tmp=round(temperature,2)  ## round temperature to 1 decimal place
+	#print(tmp-initTemp)
+	if(abs(tmp - initTemp) >= 0.6):
+		print("tmp change")
+		while(True):
+			frame=picam2.capture_array()
+			cv2.imshow("Camera Frame", frame)
+			time.sleep(0.2)
+			key=cv2.waitKey(1) & 0xFF
+
+			
+			## frame[rows,columns] --> is the pixel of each frame
+			
+			## the above command will only grab the frame
+			
+			#cv2.imshow("piCamera2", frame) ## show the frame
+			#key=cv2.waitKey(1) & 0xFF
+			
+			if key ==ord(" "):
+				cv2.imwrite("frame-" + str(time.strftime("%H:%M:%S", time.localtime())) + ".jpg", frame)
+			if key == ord("q"): ## stops for 1 ms to check if key Q is pressed
+				flag = False
+				break
+			
+