PoseNet TensorFlow
时间: 2024-01-12 14:17:57 浏览: 36
PoseNet TensorFlow is an open-source machine learning model developed by Google that is designed to estimate human pose in real-time using a single camera. It is built on top of TensorFlow, an open-source machine learning library, and uses deep convolutional neural networks to analyze images and identify the key joints of a human body from different camera angles.
The PoseNet model can estimate up to 17 key points on a person's body, including the head, neck, shoulders, elbows, wrists, hips, knees, and ankles. It can also track the movement of these points over time, allowing it to detect gestures and movements such as walking, jumping, and waving.
The model is designed to be lightweight and fast, making it suitable for use in real-time applications such as video games, virtual reality, and augmented reality. It can be trained on a large dataset of labeled images to improve its accuracy and adapt to different environments and lighting conditions.
PoseNet TensorFlow is available as a pre-trained model that can be easily integrated into existing applications or used as a starting point for developing custom models. The model is open-source, meaning that developers can modify and customize it to meet their specific needs.
相关推荐
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)