# CV_Learning

**Repository Path**: simonck666/cv-learning

## Basic Information

- **Project Name**: CV_Learning
- **Description**: Learning some Computer Version Knowledge
Do some CV projects
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-08-06
- **Last Updated**: 2021-11-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: CVBasic

## README

# CV Learning

## Task1 搭建环境

搭建本地开发环境

安装 `Anaconda Python` `Tensorflow` `Keras` `PyTorch` `OpenCV` `nltk` `Pillow`

推荐  `Python 3.6`  尝试使用 `Python 3.9`

- Anaconda 下载地址 5.1.0-MacOSX-x86_64.pkg

```sh
https://repo.anaconda.com/archive/
```

> - Anaconda 更新
>
>   ```sh
>   conda update -n base -c defaults conda
>   ```
>
> - 设置 Python 版本
>
>   ```sh
>   conda create -n python=3.6
>   ```

- 使用 Anaconda 安装如下软件

  - TensorFlow 1.8.0:

    ```sh
    conda install -c conda-forge tensorflow=1.8.0
    ```

  - Keras 2.1.5:

    ```sh
    conda install -c conda-forge keras=2.1.5
    ```

  - Nltk 3.2.5:

    ```sh
    conda install -c anaconda nltk=3.2.5
    ```

  - Pillow 5.0.0:

    ```sh
    conda install -c anaconda pillow=5.0.0
    ```

  - OpenCV 3.4.1:

    ```sh
    conda install -c conda-forge opencv=3.4.1
    ```

  - PyTorch 0.4.1:

    ```sh
    conda install pytorch=0.4.1 -c pytorch
    ```

> 如果拥有GPU，可以安装对应的 tensorflow:
>
> ```sh
> conda install -c anaconda tensorflow-gpu=1.8.0
> ```

> - 学习 Numpy 的内容
>
>   ```sh
>   https://www.runoob.com/numpy/numpy-tutorial.html
>   ```
>
> - 学习 Keras 的内容
>
>   ```sh
>   https://github.com/SimonCK666/deep-learning-with-python-cn/blob/master/SUMMARY.md
>   ```
>

## Task2 环境搭建2

- 官网安装 Anaconda
- `python3.9 -m pip install opencv-python`

> Opencv-python: 3.4.2 之后的版本有一些算法申请了专利，可能无法使用
>
> `python3.9`
>
> `improt cv2`
>
> `cv2.__version__`
>
> 如果不出现错误，即安装成功

- `python3.9 -m pip install opencv-contrib-python`

- `jupyter notebook`打开Jupyter