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张佳预
42dac992d5
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1 year ago | |
|---|---|---|
| case0_tensor | 1 year ago | |
| case1_convolution_and_custom_operator | 1 year ago | |
| case2_mlp_and_nn | 1 year ago | |
| case3_preprocess_image_data | 1 year ago | |
| case4_key_technology_in_ai | 1 year ago | |
| case5_model_training | 1 year ago | |
| case6_resnet50_flowers_classification | 1 year ago | |
| case7_u-net_segmentation | 1 year ago | |
| case8_gan | 1 year ago | |
| case9_yolov5_dedection | 1 year ago | |
| case10_ssd_detedtion | 1 year ago | |
| case11_mobile_depolyment | 1 year ago | |
| docs | 1 year ago | |
| images | 1 year ago | |
| README.md | 1 year ago | |
| envConfig.ipynb | 1 year ago | |
README.md
计算机视觉
简介
本项目为华为-东北大学联合出品《计算机视觉》精品课程代码仓库，实验案例基于华为自研深度学习框架MindSpore开发，点击这里查看课程简介。
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课程视频已上线:
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bilibili平台：【昇思MindSpore计算机视觉课程，从入门到王者】
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时习知平台：【计算机视觉】
基于启智社区进行实验，请查看实验指南
目录
案例位置在notebooks文件夹内，结构如下：
├── case0_tensor
├── case1_convolution_and_custom_operator
├── case2_mlp_and_nn
├── case3_preprocess_image_data
├── case4_key_technology_in_ai
├── case5_model_training
├── case6_resnet50_flowers_classification
├── case7_u-net_segmentation
├── case8_gan
├── case9_yolov5_dedection
├── case10_ssd_detedtion
└── case11_mobile_depolyment
参与贡献
贡献代码方式
- Fork 本仓库
- 新建 feature_xxx 分支（可选）
- 提交代码
- 新建 Pull Request
勘误方式
提交ISSSUE
基于启智平台的《计算机视觉》课程实验
Jupyter Notebook Python
Contributors (1)
