-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
```
What steps will reproduce the problem?
1. Built and installed according to instructions
2. Trained it using provider qt-facetrainer application, verified that
recognition worked
3. Altered my /et…
-
Hi, I'm developing a face verification system, so I'm using mtcnn to detect faces and then do the verification step.
The code I have is something like:
```
face_detect, prob = mtcnn.detect(img)…
-
```
Hello, i tested your face verification code on my laptop. However, when i tested on LFW, i found that it costs about **750 ms per pair matching** if only cpu was used, approximately 10 times of 6…