# dnn_accelerator

**Repository Path**: wjliu1998/dnn_accelerator

## Basic Information

- **Project Name**: dnn_accelerator
- **Description**: modified and optimized from https://github.com/hsharma35/dnnweaver2
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-26
- **Last Updated**: 2022-11-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DnnWeaver Variation

This is an open-source framework based on DNNWeaver 2.0 for accelerating Deep Neural Networks (DNNs), aiming for more elaborated models and more dedicated hardware deployment.

## Source Link
https://github.com/hsharma35/dnnweaver2

## Build Instructions

Python dependencies:
```
pip install -r requirements.txt
```

Vivado Tool version:
```
Vivado 2018.2
```
./example can be a start for model and optimizer experiment.

## Examples
dnnweaver2-tutorial.ipynb provides a tutorial on how to use the tool

Dependencies:
```
darkflow (https://github.com/thtrieu/darkflow)
OpenCV (cv2)
```

Here's a sample project that uses DnnWeaver v2.0 to perform real-time image recognition with a drone
https://github.com/ardorem/dnnweaver2.drone