“2019春-智能硬件-第九次课-教学计划”版本间的差异
来自iCenter Wiki
| （相同用户的2个中间修订版本未显示） | |||
| 第1行： | 第1行： | ||
2019-04-23 | 2019-04-23 | ||
| − | Computer Vision: [[计算机视觉]] / OpenCV | + | ***计算机视觉硬件 |
| + | Computer Vision: [[计算机视觉]] / OpenCV： [https://opencv.org/ OpenCV ] | ||
Jetson_TX2: [[NVidia-JetsonKit-介绍]] | Jetson_TX2: [[NVidia-JetsonKit-介绍]] | ||
| − | + | ***课程作业1: | |
| − | + | ||
Yolo-v3: | Yolo-v3: | ||
https://pjreddie.com/darknet/yolo/ | https://pjreddie.com/darknet/yolo/ | ||
| + | |||
| + | Object detection对象检测/[https://docs.nvidia.com/deeplearning/dgx/install-tf-jetsontx2/index.html JetsonTX2_TensorFlow] | ||
TensorFlow Object detection pipeline: | TensorFlow Object detection pipeline: | ||
https://github.com/tensorflow/models/tree/master/research/object_detection | https://github.com/tensorflow/models/tree/master/research/object_detection | ||
| + | |||
| + | ***课程作业2: | ||
| + | [[安全帽检测系统]] | ||
2019年4月23日 (二) 03:21的最后版本
2019-04-23
- 计算机视觉硬件
Computer Vision: 计算机视觉 / OpenCV： OpenCV
Jetson_TX2: NVidia-JetsonKit-介绍
- 课程作业1:
Yolo-v3: https://pjreddie.com/darknet/yolo/
Object detection对象检测/JetsonTX2_TensorFlow
TensorFlow Object detection pipeline: https://github.com/tensorflow/models/tree/master/research/object_detection
- 课程作业2:
