人脸检测人脸采集部分
```python
import argparse
from oldcare.facial import FaceUtil
from oldcare.audio import audioplayer
from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
import os
import shutil
import time
# *- coding: utf-8 -*
# 全局参数
# 全局参数
audio_dir = '/Home/audios'
# 控制参数
error = 0
start_time = None
limit_time = 2 # 2 秒
# 传入参数
parse = argparse.ArgumentParser()
parse.add_argument("-ic", "--id",
help="")
parse.add_argument("-id", "--imagedir",
help="")
args =vars(parse.parse_args(args=[]))
action_list = ['blink', 'open_mouth','smile','rise_head','bow_head',
'look_left','look_right']
action_map = {'blink':'请眨眼', 'open_mouth':'请张嘴',
'smile':'请笑一笑', 'rise_head':'请抬头',
'bow_head':'请低头', 'look_left':'请看左边',
'look_right':'请看右边'}
# 设置摄像头
cam = cv2.VideoCapture(0)
cam.set(3, 640) # set video widht
cam.set(4, 480) # set video height
faceutil = FaceUtil()
counter = 0
while True:
counter += 1
_, image =cam.read()
if counter <=10: # 放弃前10帧
continue
image = cv2.flip(image, 1)
if error == 1:
end_time = time.time()
difference = end_time - start_time
print(difference)
if difference >= limit_time:
error = 0
face_location_list = faceutil.get_face_location(image)
for (left, top, right, bottom) in face_location_list:
cv2.rectangle(image, (left, top), (right, bottom),
(0, 0, 255), 2)
cv2.imshow('Collecting Faces', image) # show the image
# Press 'ESC' for exiting video
k = cv2.waitKey(100) & 0xff
if k == 27:
break
face_count = len(face_location_list)
if error == 0 and face_count == 0: # 没有检测到人脸
print('[WARNING] 没有检测到人脸')
audioplayer.play_audio(os.path.join(audio_dir,
'no_face_detected.mp3'))
error = 1
start_time = time.time()
elif error == 0 and face_count == 1: # 可以开始采集图像了
print('[INFO] 可以开始采集图像了')
audioplayer.play_audio(os.path.join(audio_dir,
'start_image_capturing.mp3'))
break
elif error == 0 and face_count > 1: # 检测到多张人脸
print('[WARNING] 检测到多张人脸')
audioplayer.play_audio(os.path.join(audio_dir,
'multi_faces_detected.mp3'))
error = 1
start_time = time.time()
else:
pass
# 新建目录
if os.path.exists(os.path.join(args['imagedir'],args['id'])):
shutil.rmtree(os.path.join(args['imagedir'],args['id']),True)
os.mkdir(os.path.join(args['imagedir'],args['id']))
# 开始采集人脸
for action in action_list:
audioplayer.play_audio(os.path.join(audio_dir,action+'.mp3'))
action_name = action_map[action]
counter = 1
for i in range(15):
print('%s-%d' %(action_name, i))
_, img_OpenCV =cam.read()
img_OpenCV = cv2.flip(img_OpenCV, 1)
origin_img = img_OpenCV.copy() # 保存时使用
face_location_list = faceutil.get_face_location(img_OpenCV)
for (left, top, right, bottom) in face_location_list:
cv2.rectangle(img_OpenCV, (left, top),
(right, bottom), (0, 0, 255), 2)
img_PIL = Image.fromarray(cv2.cvtColor(img_OpenCV,
cv2.COLOR_BGR2RGB))
draw = ImageDraw.Draw(img_PIL)
draw.text((int(image.shape[1]/2), 30), action_name,
font=ImageFont.truetype('NotoSansCJK-Black.ttc', 40),
fill=(255,0,0)) # linux
# 转换回OpenCV格式
img_OpenCV = cv2.cvtColor(np.asarray(img_PIL),
cv2.COLOR_RGB2BGR)
cv2.imshow('Collecting Faces', img_OpenCV) # show the image
image_name = os.path.join(args['imagedir'],args['id'],
action+'_'+str(counter)+'.jpg')
cv2.imwrite(image_name, origin_img)
# Press 'ESC' for exiting video
k = cv2.waitKey(100) & 0xff
if k == 27:
break
counter += 1
# 结束
print('[INFO] 采集完毕')
audioplayer.play_audio(os.path.join(audio_dir,'end_capturing.mp3'))
# 释放全部资源
cam.release()
cv2.destroyAllWindows()
###### 运行结果及报错内容
TypeError Traceback (most recent call last)
Input In [4], in | line: 82>()
79 pass
81 # 新建目录
---> 82 if os.path.exists(os.path.join(args['imagedir'],args['id'])):
83 shutil.rmtree(os.path.join(args['imagedir'],args['id']),True)
84 os.mkdir(os.path.join(args['imagedir'],args['id']))
File D:\anaconda\lib\ntpath.py:78, in join(path, *paths)
77 def join(path, *paths):
---> 78 path = os.fspath(path)
79 if isinstance(path, bytes):
80 sep = b'\\'
TypeError: expected str, bytes or os.PathLike object, not NoneType
| 打印args['imagedir']看一下具体的内容