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And what to do here? See if PHP just crashes immediately and we cannot do anything or we can catch some exception from dlib? If we can catch it and act on it, what should we do? Skip image and go to n…
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I ran face recognition on few of my photos here:
https://cloud.aidcim.org/index.php/apps/gallery/s/6NFCGmAkoZL6Pc5
That's on
- Ubuntu 16.04 with 6GB RAM
- NextCloud 15.0
The job completes:
`…
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## Current Behavior
I creaed my own .xml files for both training and testing sets in order to use the example of mmod_train_find cars_ex.cpp. However,it gave me some of lnk2005 errors.
th…
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Add tracking to Darknet component. Refer to the OCV face detection and Dlib face detection components, among others, to determine how generic tracking is implemented in the rest of OpenMPF. Generally,…
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* Using the VM image provided.
### Description
Running facerec_from_webcam_faster.py the library cannot differentiate someone actually in front of the camera from someone holding somebody's pictur…
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Hi! I am not an expert in CMake and Build systems. I am currently trying to test the performance of DLIB's face detection with/without TBB. My initial code has taken inspiration from the following fil…
r4ghu updated
6 years ago
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This issue is fixed.
There is a bug in numpy version 1.16.0. Downgrade numpy to 1.15.2 and your problems will disappear.
requirements.txt being edited.
_______________________________________…
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Is it possible to change the detection model to the faster Hog model in dlib?
In need a faster detection and is willing to scarifies some of the accuracy.
See also this post which compares differe…
berrg updated
6 years ago
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NEON can i get the best result on the arm-v7a, arm64-v8a android processor
this time of skill only for face recognition is 3-5 seconds
please, help. how can i improve and reduce time
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Hi
I am using mac , and have installed torch7 , MATLAB and NVIDIA GPU (CUDA 8.0) . When I run the run.m by MATLAB, I get the following results:
_--------------------------------
~/vrn/face-alignm…