2018秋第六次课第一组

万人血书要求取消Wiki验证码！

建议老师移动一下页面，现在的页面名“第一组”日后非常容易引起冲突

小组成员

• 游旅-航院航72
• 陈亦心-美院美710
• 杨博琳-美院美710
• 康秋彦-美院美710
• 李姜帆-自动化自64
• 蔡东龙-化学62

实验记录

PYNQ+USB摄像头人脸识别

1. 启动PYNQ板，连接Jupyter Notebook，打开examples/opencv_face_detect_webcam.ipynb文件。

• 注意到有一些代码被注释了：

        #Step 2: Initialize Webcam and HDMI Out
    # monitor configuration: 640*480 @ 60Hz
#from pynq.drivers import HDMI
from pynq.drivers.video import VMODE_640x480
#hdmi_out = HDMI('out', video_mode=VMODE_640x480)
#hdmi_out.start()

        #Step 3: Display webcam image via HDMI Out
if (ret):
    frame_1080p = np.zeros((1080,1920,3)).astype(np.uint8)
    frame_1080p[0:480,0:640,:] = frame_vga[0:480,0:640,:]
    #hdmi_out.frame_raw(bytearray(frame_1080p.astype(np.int8).tobytes()))
else:
    raise RuntimeError("Failed to read from camera.")

        # Step 6: Show results on HDMI output
    # Output OpenCV results via HDMI
frame_1080p[0:480,0:640,:] = frame_vga[0:480,0:640,:]
#hdmi_out.frame_raw(bytearray(frame_1080p.astype(np.int8).tobytes()))

        # Step 8: Release camera and HDMI
videoIn.release()
#hdmi_out.stop()
#del hdmi_out