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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

Åpen
Lagt ut 28 dager siden
Avsluttes om 6 dager

$750-1500 USD

Betalt ved levering
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
Prosjekt-ID: 38033809

Om prosjektet

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Aktiv 14 timer siden

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9 frilansere byr i gjennomsnitt $1 309 USD for denne jobben
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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 om 7 dager
5,0 (2 omtaler)
3,0
3,0
Brukeravatar
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 om 15 dager
5,0 (1 omtale)
1,8
1,8
Brukeravatar
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 om 7 dager
0,0 (0 omtaler)
0,0
0,0

Om klienten

KOREA, REPUBLIC OFs flagg
Seoul, Korea, Republic of
1,8
1
Betalingsmetode bekreftet
Medlem siden mar. 10, 2014

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