From ea2bf8bb94d62426c2d0cf1ad8efee706b944fa4 Mon Sep 17 00:00:00 2001 From: Subhasmita Swain <57298668+SubhasmitaSw@users.noreply.github.com> Date: Thu, 7 Jan 2021 07:38:26 +0000 Subject: [PATCH 1/2] Subhasmita Swain Report(Deep Fusion AI) --- Deep Fusion AI/Subhasmita-Swain.md | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) create mode 100644 Deep Fusion AI/Subhasmita-Swain.md diff --git a/Deep Fusion AI/Subhasmita-Swain.md b/Deep Fusion AI/Subhasmita-Swain.md new file mode 100644 index 0000000..145417e --- /dev/null +++ b/Deep Fusion AI/Subhasmita-Swain.md @@ -0,0 +1,28 @@ +# Developer - Winter of Code 2020 +# Subhasmita Swain +### Deep Fusion AI : Social Distance Detector + +This project aimed to build a light weight and accurate mobile friendly Social Distance Detection model. My work throughout this month was to produce a viable python script for detection (using avalable Tensorflow Models) and enumerate a distance measurement algorithm between pedestrians. + +I am [Subhasmita Swain](https://github.com/SubhasmitaSw) an undergraduate from Sharda University, as a part of Winter of Code. + +This project was mentored by [Sayak Paul](https://github.com/sayakpaul) and [Rishiraj Acharya](https://github.com/rishiraj). + +# Contributions +- Tested different pre-trained TF models for their performance compyling to the Detector +- Prepared detection and distance measurement algorithm scripts using ssd-mobilenet-v2 model +- Tested the performance of TinyYOLO on NVIDIA Jetson Nano V2 +- Provided Documentation for the final project. + + +# Issue +- Here's the [Issue](https://github.com/DeepFusionAI/social-distance-detector/issues/6#issuecomment-751362640), I've co-worked on. + + +# Future Scope +With the upcoming support of TFLite for the EfficientDet model can help improve the accuracy and speed of the Social Distance Detector with more mobile-friendly models. +Also with further Optimization of the model we could push the perfromace bar ahead a little. + +# Overall Experience +The constant support and relentless doubt clearings from my mentors Sayak Paul and Rishiraj Acharya helped develop my technical side as well gave me an insight about professional work culture. +I would also like to Thank my teammates Piysuh, Sudarshana and Hiran, I've learnt a lot from you. \ No newline at end of file From 2edceaa7c95327eb72361ec849f50495146ccc79 Mon Sep 17 00:00:00 2001 From: Subhasmita Swain <57298668+SubhasmitaSw@users.noreply.github.com> Date: Thu, 7 Jan 2021 13:18:02 +0530 Subject: [PATCH 2/2] Update Subhasmita-Swain.md --- Deep Fusion AI/Subhasmita-Swain.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/Deep Fusion AI/Subhasmita-Swain.md b/Deep Fusion AI/Subhasmita-Swain.md index 145417e..2571a92 100644 --- a/Deep Fusion AI/Subhasmita-Swain.md +++ b/Deep Fusion AI/Subhasmita-Swain.md @@ -9,6 +9,7 @@ I am [Subhasmita Swain](https://github.com/SubhasmitaSw) an undergraduate from S This project was mentored by [Sayak Paul](https://github.com/sayakpaul) and [Rishiraj Acharya](https://github.com/rishiraj). # Contributions + Here's my [colab](https://colab.research.google.com/drive/1ZSdQ3eVCBLejNgE-f96fHHv1eEohlp7s?usp=sharing) notebook containing my work. - Tested different pre-trained TF models for their performance compyling to the Detector - Prepared detection and distance measurement algorithm scripts using ssd-mobilenet-v2 model - Tested the performance of TinyYOLO on NVIDIA Jetson Nano V2 @@ -25,4 +26,4 @@ Also with further Optimization of the model we could push the perfromace bar ahe # Overall Experience The constant support and relentless doubt clearings from my mentors Sayak Paul and Rishiraj Acharya helped develop my technical side as well gave me an insight about professional work culture. -I would also like to Thank my teammates Piysuh, Sudarshana and Hiran, I've learnt a lot from you. \ No newline at end of file +I would also like to Thank my teammates Piysuh, Sudarshana and Hiran, I've learnt a lot from you.