FPGA Object Detection DNN Implementation
Budget: ₹1,500 – ₹12,500 INR
I'm seeking a skilled professional in Matlab, Simulink, and HDL Coder, with a profound understanding of FPGA, particularly the Kria SOM platform.
Key Project Details:
- The primary goal is to implement an Object Detection DNN on the Kria SOM FPGA.
- The approach is real-time video processing, hence the need for efficiency and speed.
- The system should be based on the YOLO model, which is pre-trained on the COCO dataset.
- The FPGA resource utilization should be analyzed using HDL Coder by running the FPGA in a loop with MATLAB.
Ideal Candidate:
- Proficient in Matlab, Simulink, and HDL Coder.
- Experienced in implementing DNNs on FPGA, particularly Kria SOM.
- Knowledgeable on real-time video processing.
- Familiarity with the YOLO model and COCO dataset.
- Capable of optimizing FPGA resource utilization for efficient performance.
If you possess the above skills and have previously worked on similar projects, I'd like to hear from you.
Key Project Details:
- The primary goal is to implement an Object Detection DNN on the Kria SOM FPGA.
- The approach is real-time video processing, hence the need for efficiency and speed.
- The system should be based on the YOLO model, which is pre-trained on the COCO dataset.
- The FPGA resource utilization should be analyzed using HDL Coder by running the FPGA in a loop with MATLAB.
Ideal Candidate:
- Proficient in Matlab, Simulink, and HDL Coder.
- Experienced in implementing DNNs on FPGA, particularly Kria SOM.
- Knowledgeable on real-time video processing.
- Familiarity with the YOLO model and COCO dataset.
- Capable of optimizing FPGA resource utilization for efficient performance.
If you possess the above skills and have previously worked on similar projects, I'd like to hear from you.