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bearsprogrammer / real-time-deep-face-recognition

using facenet algorithm
MIT License
233 stars 100 forks source link

难以复现 #30

Closed Allenstin closed 5 years ago

Allenstin commented 6 years ago

作者应该是来自中国的大神吧.我想请问下,大神能给下更为详细的操作说明.您目前给的这些内容,让新手复现人脸识别是否难以下手啊.谢谢

elbayaninho commented 6 years ago

In english please

Allenstin commented 6 years ago

In english please

I mean, the author gives too little explanation. As a newbie, it is difficult to achieve.I still like to speak Chinese, haha.要是哪天我想在github上写东西,我就只想用中文.最主要原因是英文不好,其次就是不想给外国佬看见.哈哈

Allenstin commented 6 years ago

However, now I understand the code, and successfully implemented face recognition.Thanks.

Gabit07 commented 5 years ago

Hello, can you help me? I am still having a problem to run the code

Gabit07 commented 5 years ago

In english please

DId you successfully run the code?

Allenstin commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

Gabit07 commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

I stuck here... (cv) gabit@gabit-all-series-invalid-entry-length-16-fixed-up-to-11:~/real-time-deep-face-recognition$ sudo python3 Make_classifier_git.py 2019-03-27 14:59:30.451369: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-03-27 14:59:30.475526: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2398375000 Hz 2019-03-27 14:59:30.476614: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5541f30 executing computations on platform Host. Devices: 2019-03-27 14:59:30.476640: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , Number of classes: 6 Number of images: 0 Loading feature extraction model Model filename: /home/gabit/real-time-deep-face-recognition/models/20170511-185253.pb WARNING:tensorflow:From /home/gabit/real-time-deep-face-recognition/facenet.py:377: FastGFile.init (from tensorflow.python.platform.gfile) is deprecated and will be removed in a future version. Instructions for updating: Use tf.gfile.GFile. Calculating features for images Training classifier Traceback (most recent call last): File "Make_classifier_git.py", line 57, in model.fit(emb_array, labels) File "/usr/local/lib/python3.5/dist-packages/sklearn/svm/base.py", line 149, in fit accept_large_sparse=False) File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/validation.py", line 756, in check_X_y estimator=estimator) File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/validation.py", line 582, in check_array context)) ValueError: Found array with 0 sample(s) (shape=(0, 128)) while a minimum of 1 is required.

Gabit07 commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

Thank you for your quick reply. Could you take a look on my code?

Allenstin commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

Thank you for your quick reply. Could you take a look on my code?

I have not encountered this kind of mistake. This code needs to be used in conjunction with 'facenet'. You give me an email, I will send you the previous code.

Gabit07 commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

Thank you for your quick reply. Could you take a look on my code?

I have not encountered this kind of mistake. This code needs to be used in conjunction with 'facenet'. You give me an email, I will send you the previous code.

Oh, thank you. my email is tkgabit@gmail.com

Allenstin commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

Thank you for your quick reply. Could you take a look on my code?

I have not encountered this kind of mistake. This code needs to be used in conjunction with 'facenet'. You give me an email, I will send you the previous code.

Oh, thank you. my email is tkgabit@gmail.com

I have sent the entire code to you, please check it out. You only need to change the path and you will be able to run it. I am from China. If you have time to come to China, please remember to contact me. My email is: allenstin@foxmail.com, thank you

Gabit07 commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

Thank you for your quick reply. Could you take a look on my code?

I have not encountered this kind of mistake. This code needs to be used in conjunction with 'facenet'. You give me an email, I will send you the previous code.

Oh, thank you. my email is tkgabit@gmail.com

I have sent the entire code to you, please check it out. You only need to change the path and you will be able to run it. I am from China. If you have time to come to China, please remember to contact me. My email is: allenstin@foxmail.com, thank you

Okay. I received well with thanks. Yeah, I will let you know if I will go to China.

Gabit07 commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

I stuck here... (cv) gabit@gabit-all-series-invalid-entry-length-16-fixed-up-to-11:~/real-time-deep-face-recognition$ sudo python3 Make_classifier_git.py 2019-03-27 14:59:30.451369: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-03-27 14:59:30.475526: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2398375000 Hz 2019-03-27 14:59:30.476614: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5541f30 executing computations on platform Host. Devices: 2019-03-27 14:59:30.476640: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , Number of classes: 6 Number of images: 0 Loading feature extraction model Model filename: /home/gabit/real-time-deep-face-recognition/models/20170511-185253.pb WARNING:tensorflow:From /home/gabit/real-time-deep-face-recognition/facenet.py:377: FastGFile.init (from tensorflow.python.platform.gfile) is deprecated and will be removed in a future version. Instructions for updating: Use tf.gfile.GFile. Calculating features for images Training classifier Traceback (most recent call last): File "Make_classifier_git.py", line 57, in model.fit(emb_array, labels) File "/usr/local/lib/python3.5/dist-packages/sklearn/svm/base.py", line 149, in fit accept_large_sparse=False) File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/validation.py", line 756, in check_X_y estimator=estimator) File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/validation.py", line 582, in check_array context)) ValueError: Found array with 0 sample(s) (shape=(0, 128)) while a minimum of 1 is required.

I've solved by myself. The problem was I didn't correctly path images with tf.Session() as sess:

    datadir = '/home....
Allenstin commented 5 years ago

In english please

DId you successfully run the code?

Hello, can you help me? I am still having a problem to run the code

What can I do for you?

I stuck here... (cv) gabit@gabit-all-series-invalid-entry-length-16-fixed-up-to-11:~/real-time-deep-face-recognition$ sudo python3 Make_classifier_git.py 2019-03-27 14:59:30.451369: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2019-03-27 14:59:30.475526: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2398375000 Hz 2019-03-27 14:59:30.476614: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5541f30 executing computations on platform Host. Devices: 2019-03-27 14:59:30.476640: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , Number of classes: 6 Number of images: 0 Loading feature extraction model Model filename: /home/gabit/real-time-deep-face-recognition/models/20170511-185253.pb WARNING:tensorflow:From /home/gabit/real-time-deep-face-recognition/facenet.py:377: FastGFile.init (from tensorflow.python.platform.gfile) is deprecated and will be removed in a future version. Instructions for updating: Use tf.gfile.GFile. Calculating features for images Training classifier Traceback (most recent call last): File "Make_classifier_git.py", line 57, in model.fit(emb_array, labels) File "/usr/local/lib/python3.5/dist-packages/sklearn/svm/base.py", line 149, in fit accept_large_sparse=False) File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/validation.py", line 756, in check_X_y estimator=estimator) File "/usr/local/lib/python3.5/dist-packages/sklearn/utils/validation.py", line 582, in check_array context)) ValueError: Found array with 0 sample(s) (shape=(0, 128)) while a minimum of 1 is required.

I've solved by myself. The problem was I didn't correctly path images with tf.Session() as sess:

    datadir = '/home....

OK, Congratulations

lajihaonange commented 5 years ago

@Allenstin 大佬，你好，我在运行这个程序的时候，发现对于不同的人给出的识别结果都是一样的，请问您能指导我一下怎样对程序改进才能识别出来不同的人脸吗？

ccl-private commented 5 years ago

你好，我也是一头雾水，不知道怎么运行，路径怎么设置？我现在就只有一张我自己的图片，下载了21070511-185253的模型，还有det*.npy，可以运行代码吗？能否写个详细的步骤哈～

ccl-private commented 5 years ago

ops 我也成功了，放照片的文件夹要按命名来区分，不能所有照片放一个文件夹。而且，最好一个人有多张图像放同一个文件夹。

lajihaonange commented 5 years ago

恭喜你啊，其实我建议你去看一下官方的facenet，这个就是在那个基础上完成的，不过官方文档有详细的步骤说明

------------------ 原始邮件 ------------------ 发件人: "ccl"notifications@github.com; 发送时间: 2019年8月15日(星期四) 下午4:43 收件人: "bearsprogrammer/real-time-deep-face-recognition"real-time-deep-face-recognition@noreply.github.com; 抄送: "AS"2775160793@qq.com; "Comment"comment@noreply.github.com; 主题: Re: [bearsprogrammer/real-time-deep-face-recognition] 难以复现 (#30)

ops 我也成功了，放照片的文件夹要按命名来区分，不能所有照片放一个文件夹。而且，最好一个人有多张图像放同一个文件夹。

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