YOLOv8 Porting to Nvidia Agx Xavier
Budget: $250 – $750 USD
I'm looking to work with an expert in machine learning and computer vision to port YOLOv8 to Nvidia AGX Xavier for real-time object detection.
Specifically, I require the detection of vehicles, pedestrians, and traffic lights to be enhanced. The successful candidate will have a solid understanding of deep learning algorithms and experience with Nvidia AGX Xavier, as well as a proven track record in real-time object detection.
Ideal skills and experience for this job include:
* Proficient in YOLO algorithms, specifically YOLOv8.
* Proven experience with Nvidia AGX Xavier.
* Strong background in Machine Learning and Computer Vision.
* Practical knowledge of surveillance systems.
* Experience or interest in enhanced detection capabilities, particularly in relation to vehicles, pedestrians, and traffic lights.
Description: Our goal is to load road video into Xavier memory,
run YOLOv8 to detect vehicles, pedestrians and traffic lights and display them via HDMI.
*Find and use road videos yourself.
*Come into remote and work on it
Request result of task:
1. Porting Manual (the level that a person without prior knowledge can implement while following commands, etc.)
2. open source code, and if there are any other modifications, that source code, etc
3. Reference road video
4. Demonstrate after completion of work
Specifically, I require the detection of vehicles, pedestrians, and traffic lights to be enhanced. The successful candidate will have a solid understanding of deep learning algorithms and experience with Nvidia AGX Xavier, as well as a proven track record in real-time object detection.
Ideal skills and experience for this job include:
* Proficient in YOLO algorithms, specifically YOLOv8.
* Proven experience with Nvidia AGX Xavier.
* Strong background in Machine Learning and Computer Vision.
* Practical knowledge of surveillance systems.
* Experience or interest in enhanced detection capabilities, particularly in relation to vehicles, pedestrians, and traffic lights.
Description: Our goal is to load road video into Xavier memory,
run YOLOv8 to detect vehicles, pedestrians and traffic lights and display them via HDMI.
*Find and use road videos yourself.
*Come into remote and work on it
Request result of task:
1. Porting Manual (the level that a person without prior knowledge can implement while following commands, etc.)
2. open source code, and if there are any other modifications, that source code, etc
3. Reference road video
4. Demonstrate after completion of work