https://github.com/himewel/yolowell
A set of hardware architectures to build a co-design of convolutional neural networks inference at FPGA devices
https://github.com/himewel/yolowell
darknet vhdl
Last synced: 5 months ago
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A set of hardware architectures to build a co-design of convolutional neural networks inference at FPGA devices
- Host: GitHub
- URL: https://github.com/himewel/yolowell
- Owner: himewel
- Created: 2020-06-06T03:39:55.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-26T00:35:53.000Z (about 4 years ago)
- Last Synced: 2024-08-02T01:21:00.832Z (9 months ago)
- Topics: darknet, vhdl
- Language: Jupyter Notebook
- Homepage:
- Size: 5.87 MB
- Stars: 9
- Watchers: 2
- Forks: 1
- Open Issues: 1
Awesome Lists containing this project
- awesome-yolo-object-detection - himewel/yolowell - design of convolutional neural networks inference at FPGA devices. (Lighter and Deployment Frameworks)
- awesome-yolo-object-detection - himewel/yolowell - design of convolutional neural networks inference at FPGA devices. (Lighter and Deployment Frameworks)