Yolov2复现所需文件.rar

This repo is about PYNQ. Weight and bias are available in [HERE(BaiDu CloudDisk) URL](https://pan.baidu.com/s/1pconJnUbu52KN4jd-1EgKg) Continue with the step of creating yolov2.tcl and yolov2.bit 1. Copy yolov2.tcl and yolov2.bit to this repo 2. Open yolov2.ipynb in jupyter notebook 3. You can change the image path: ```python #image path ORIG_IMG_PATH = 'dog.jpg' ``` 4. You can also change the bitstream:(The name of .tcl must be same as the name of .bit) ```python overlay = Overlay("yolov2.bit") ``` 5. Run all # Results as: