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Dectect human and transform face in Nvidia jetson orin edge device connected with CCTV (Conversion GAN model by Pytorch to Jetson)

$750-1500 USD

Haijafungwa
Imechapishwa 27 days ago
EInaisha ndani ya siku 6

$750-1500 USD

Kulipwa wakati wa kufikishwa
1 Overview: This project de-identifies personal information in the video that detects a person on an Edge Device connected to CCTV and protects personal information by changing the person's face or face + top and bottom. Here's what we need. 1.1 Edge Device must be sent video from the CCTV Stream. 1.2 A person must be detected in the input video. 1.3 The following information must be extracted from the detected person and made into a metadata (JSON) file. - Facial Embedding Information - Extract information about a person's attributes (hair length, hair color, top color, bottom color, top shape, bottom shape, shoe shape, color, etc.) 1.4 Change to a new face, a new outfit. 1.5 Real-time converted images and generated metadata should be delivered to the storage server via RTSP protocol. we need for recommendations on faster face attribute manipulation model than Hyperstyle
Kitambulisho cha mradi: 38033809

Kuhusu mradi

9 mapendekezo
Fungua kutolewa zabuni
Mradi wa mbali
Inatumika 5 hours ago

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9 wafanyakazi huru wana zabuni kwa wastani $1,309 USD kwa kazi hii
Picha ya Mtumiaji
Hello, With more than 8 years as a Software Engineer specializing in the development of impactful products, I bring to the table a deep understanding and skill set in technologies that are directly aligned with your project. In addition to my proficiency in JavaScript, Python (including Pytorch), and C++, I am well-versed in leveraging Nvidia Jetson and similar edge devices to maximize their potential. As someone who has worked extensively with computer vision, I am acutely aware of the challenges and complexities involved in identifying individuals in footage and altering their appearances to protect privacy. Drawing on my previous work, I have honed my skills in facial detection, attribute extraction, metadata processing - all tailored to your specific requirement. Additionally, I am familiar with RTSP protocol for real-time data transfer, so delivering the manipulated images and metadata would not be an obstacle. To tackle your concern regarding a "faster face attribute manipulation model than Hyperstyle", my expertise extends beyond just using existing models; I can adapt and create new ones if necessary. I value client satisfaction above all else - which means precise collaboration and regular communication are at the heart of my work ethic. With me at the helm, expect high-quality deliverables on time, no compromises on user experience or meticulousness.
$1,200 USD ndani ya siku 7
5.0 (2 hakiki)
3.0
3.0
Picha ya Mtumiaji
Hello As an accomplished professional with a multi-disciplinary skillset, I'm well-suited to solve the challenges of your complex project. In particular, my expertise in C++ Programming and Python dovetails seamlessly with your requirement for leveraging Nvidia Jetson Orin to deploy your de-identification model. With an in-depth understanding of GAN models by Pytorch, I capably distill facial embedding and person attributes into JSON metadata proficiently. Drawing from my 5 years in the field, I've honed my ability to transform raw data into insightful and actionable business intelligence - a trait crucial to successfully enabling data-driven CCTV systems like yours. Moreover, I believe this experience has furnished me with the necessary ingenuity to create efficient, real-time conversion images and deliver them via RTSP protocol to the storage server. Thanks
$1,125 USD ndani ya siku 15
5.0 (1 hakiki)
1.8
1.8
Picha ya Mtumiaji
I bid on your project Dectect human and transform face in Nvidia jetson orin edge device connected with CCTV .because I have the expertise and experience to provide high quality work. I guarantee constant project updates to ensure that the project meets your expectations. Please respond to the offer so that we can discuss it thoroughly
$1,000 USD ndani ya siku 7
0.0 (0 hakiki)
0.0
0.0

Kuhusu mteja

Bedera ya KOREA, REPUBLIC OF
Seoul, Korea, Republic of
1.8
1
Njia ya malipo imethibitishwa
Mwanachama tangu Mac 10, 2014

Uthibitishaji wa Mteja

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