mrn-mln

@mhejrati , I implemented a Mobilenet-SSD version for face detection and integrate it with a [face-mask classifier ](`https://github.com/neuralet/neuralet/pull/68`). The detector detects faces and the detected face is cropped from the...

@mhejrati I sent [a PR](https://github.com/neuralet/neuralet-models/pull/5) including detector models frozen graph for x86 devices and a quantized tflite model for edgetpu devices at the neuralet-model repo.

@mhejrati I generated tflite model and sent a[ PR for this task](https://github.com/neuralet/neuralet-models/pull/5) on neuralet-models repo.

@mhejrati A ssd-mobilenet-v1 detector is trained on face-mask dataset. I converted the model to quantized int8 model which is compatible with edgetpu devices (the mAP = 0.67%). At the next...

I tested a ssd-movilenet-v1, the generalization of the model was not well. So, I will try to train a new model for this task. I will update my activity here.

I trained resnet-50 on WIDER FACE dataset. The mAP was ~0.52 which was not well enough. I will try to train a model on the HollywoodHead detection dataset in order...

@orapradeep Docker is a convenient service for installing all packages and delivering software, however, if you are not sure about using it, you can install all packages/libraries manually and run...

@orapradeep After Cloning the repo go to ` neuralet/applications/smart-distancing/` For x86 devices open `config-x86.ini` file and set your config. Run the app by this script `python neuralet-distancing.py --config config-x86.ini` Note:...

@rkgits, @mhejrati I've searched for the videos but it seems there are no proper videos for our task. However, there are lots of videos from news related to the face...

Good video for starting. https://www.youtube.com/watch?v=7-IEW0cr5To @mhejrati I select these videos which you'd had shared to start working on [issue 106](https://github.com/neuralet/neuralet/issues/106) https://www.youtube.com/watch?v=V54hhnyAntU https://www.youtube.com/watch?v=5_0LobssR9A https://www.youtube.com/watch?v=EeuneefPTyY https://www.youtube.com/watch?v=_FPFLmqYRC0