img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20) print(clock.fps())

引用\[1\]:img.draw_keypoints(\[(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))\], size=20)是用来绘制关键点的函数。它接受一个包含关键点信息的列表作为参数，每个关键点由(x, y, rotation)组成，其中(x, y)是关键点的坐标，rotation是关键点的旋转角度。size参数指定了绘制关键点的大小。\[1\]

print(clock.fps())是用来打印当前帧率的函数。它会输出当前相机的帧率。\[1\]

所以，这段代码的作用是绘制关键点并打印当前帧率。
#### 引用[.reference_title]
- *1* *3* [OpenMV的单颜色识别讲解](https://blog.csdn.net/qq_63922192/article/details/127149866)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [K210追小球程序与STM32最小系统板通信（自主学习）](https://blog.csdn.net/qq_60043905/article/details/125655140)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
[ .reference_list ]