PYNQでface detection

facedetect.py

from pynq import Overlay
Overlay("base.bit").download()
import time
import cv2
import numpy as np
from pynq.drivers import HDMI
from pynq.drivers.video import VMODE_1920x1080
hdmi_out = HDMI('out', video_mode=VMODE_1920x1080)
hdmi_in = HDMI('in', init_timeout=10, frame_list=hdmi_out.frame_list)
hdmi_in.start()
hdmi_out.start()

for i in range(10):
	print("waiting ",10-i)
	time.sleep(1)

print("change HDMI output frame")
hdmi_out.frame_index_next()
print("main loop")

try:
  while True:
    frame = hdmi_in.frame_raw()
    np_frame= (np.frombuffer(frame, dtype=np.uint8)).reshape(1080,1920,3)
    face_cascade = cv2.CascadeClassifier(
                        './data/haarcascade_frontalface_default.xml')
    eye_cascade = cv2.CascadeClassifier(
                        './data/haarcascade_eye.xml')
    gray = cv2.cvtColor(np_frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    for (x,y,w,h) in faces:
        cv2.rectangle(np_frame,(x,y),(x+w,y+h),(255,0,0),2)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = np_frame[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
    hdmi_out.frame_raw(bytearray(np_frame.tobytes()))

except KeyboardInterrupt:
    print("terminating application")
    hdmi_out.stop()
    hdmi_in.stop()
    del hdmi_in, hdmi_out