Comments (5)
coneypo
commented on May 12, 2024
Hi,
应该是图像文件读写格式有问题， 用你的 测试图片 单独跑下 get_128d_features（） 看有没有问题
# 返回单张图像的128D特征
def get_128d_features(img_gray):
dets = detector(img_gray, 1)
if len(dets) != 0:
shape = predictor(img_gray, dets[0])
face_descriptor = facerec.compute_face_descriptor(img_gray, shape)
else:
face_descriptor = 0
return face_descriptor
get_128d_features("D:/test/test.jpg")
方便的话把你更改的源码贴给我下，应该不会有问题;
Best regrads
…------------------ 原始邮件 ------------------
发件人: "EstellaCheng"<[email protected]>;
发送时间: 2018年7月26日(星期四) 中午11:20
收件人: "coneypo/Dlib_face_recognition_from_camera"<[email protected]>;
抄送: "Subscribed"<[email protected]>;
主题: [coneypo/Dlib_face_recognition_from_camera] 运行get_features_into_CSV.py时报错 (#3)
我clone代码到本地后，将get_from_camera里的照片清空，然后修改路径后，运行get_faces_from_camera后得到自己的数据集。然后把default_person.csv也删除了，再运行get_features_into_CSV.py,结果报错如下：
Traceback (most recent call last):
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/get_features_into_CSV.py", line 76, in
write_into_csv(path_pics, path_csv + "default_person.csv")
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/get_features_into_CSV.py", line 67, in write_into_csv
features_128d = return_128d_features(path_pics + dir_pics[i])
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/get_features_into_CSV.py", line 43, in return_128d_features
face_descriptor = facerec.compute_face_descriptor(img_gray, shape)
RuntimeError: The full_object_detection must use the iBUG 300W 68 point face landmark style.
Process finished with exit code 1
我后来把图像换成博主原来的图像，再次运行还是报这个错。。。请博主赐教。
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from dlib_face_recognition_from_camera.
EstellaCheng
commented on May 12, 2024
我单独运行了get_128d_features（），出现了问题。报错如下：
Traceback (most recent call last):
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/test.py", line 24, in
get_128d_features("D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/get_from_camera/img_face_1.jpg")
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/test.py", line 15, in get_128d_features
dets = detector(img_gray, 1)
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.
以下是我修改源码的地方：
在get_faces_from_camera.py里面修改了存储路径。
保存
line 28 path_save = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/get_from_camera/"
在get_features_into_CSV.py里面也是修改了路径，共三处：
line 18 path_pics = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/get_from_camera/"
line 19 path_csv = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/csvs/"
line 78 path_csv_rd = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/csvs/default_person.csv"
谢谢博主抽空帮我解决问题啦！
from dlib_face_recognition_from_camera.
coneypo
commented on May 12, 2024
Hi
不好意思刚下班
我觉得可能是你修改的时候误删了某一行，比如刚才发给你的那个 return_128d_features 函数，那样出错是因为传给他的图像格式不对，我觉得你可以check一下源码，类似于这种地方：
img=io.imread(path_img)，看它传过去的是 文件路径 / img_gray 灰度图片 / RGB 通道图片 / HSV 通道图片 /..
from skimage import io
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('shape_predictor_68_face_landmarks.dat')
facerec = dlib.face_recognition_model_v1("dlib_face_recognition_resnet_model_v1.dat")
img_gray = io.imread(img_path)
img_gray = cv2.cvtColor(img_gray, cv2.COLOR_BGR2RGB)
dets = detector(img_gray, 1)
if len(dets) != 0:
shape = predictor(img_gray, dets[0])
face_descriptor = facerec.compute_face_descriptor(img_gray, shape)
else:
face_descriptor = 0
print(face_descriptor)
不行的话麻烦尝试下重新下载下 源码， link:
https://github.com/coneypo/Dlib_face_recognition_from_camera/blob/master/get_features_into_CSV.py
…------------------ 原始邮件 ------------------
发件人: "EstellaCheng"<[email protected]>;
发送时间: 2018年7月26日(星期四) 下午2:47
收件人: "coneypo/Dlib_face_recognition_from_camera"<[email protected]>;
抄送: "coneypo"<[email protected]>; "Comment"<[email protected]>;
主题: Re: [coneypo/Dlib_face_recognition_from_camera] 运行get_features_into_CSV.py时报错 (#3)
我单独运行了get_128d_features（），出现了问题。报错如下：
Traceback (most recent call last):
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/test.py", line 24, in
get_128d_features("D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/get_from_camera/img_face_1.jpg")
File "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/test.py", line 15, in get_128d_features
dets = detector(img_gray, 1)
RuntimeError: Unsupported image type, must be 8bit gray or RGB image.
以下是我修改源码的地方：
在get_faces_from_camera.py里面修改了存储路径。
保存
line 28 path_save = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/get_from_camera/"
在get_features_into_CSV.py里面也是修改了路径，共三处：
line 18 path_pics = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/get_from_camera/"
line 19 path_csv = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/csvs/"
line 78 path_csv_rd = "D:/360Downloads/JetBrains/Dlib_face_recognition_from_camera-master/data/csvs/default_person.csv"
谢谢博主抽空帮我解决问题啦！
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EstellaCheng
commented on May 12, 2024
真是十分感谢博主啦。下了班还要帮我解决问题。。可是，，我把整个项目重新下载了一遍，就改了get_features_into_CSV.py里面的路径，运行起来还是会有哪个问题。。。。呜呜呜呜~~~天要灭我
from dlib_face_recognition_from_camera.
coneypo
commented on May 12, 2024
你好，请 clone 最新的代码，这个 issue 应该不会复现了；
如果没问题请 close 下，谢谢；
from dlib_face_recognition_from_camera.
Related Issues (20)
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- 神经网络 HOT 1
- Python 3.10 环境下dlib 安装失败，有解决方法吗 HOT 2
- 运行get_faces_from_camera_tkinter.py输入中文名，保存图片时 显示保存成功，但目录下没有，英文名字则没问题 HOT 3
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