Requirement
1. Install anaconda with vs code
**www.anaconda.com/download/success
**code.visualstudio.com
Setup python
1. Check whether your pc already have python.
2. Open anaconda, go environment tab, scroll down existing package list to find python.
3. If not existed, install python; by searching at google.
Setup pip
1. Check whether your pc already have pip.
2. Open anaconda, go environment tab, scroll down existing package list to find pip.
3. If not existed, go to desire environment, and install pip. How? By download pip bootstrap.pypa.io/get-pip.py and install at cmd, python get-pip.py
Training
1. Data cleaning; by make it as 10 image for each category, and rename is 1.jpg, 2.jpg
2. Go to teachable machine, please do training; download model
3. Examine the generated source code; library/package need to be installed
Install library
1. See the source code, list down all the library to install.
2. Ask to chatgpt, what the version TensorFlow should be installed. From there, we can determine right version of python, pillow and numpy should be installed. **Chatgpt say, suitable version is tensorflow==2.9.0
3. From there, find right version python and other library version for pillow and numpy. This things, you can see at python package website.
4. Then install one by one.
**pip install tensorflow==2.9.0
**pip install pillow
**pip install numpy==1.26.4
Setup new environemnt
**conda create --name myenvv python=3.9
**conda activate myenvv
Coding
1. by using provided source code, edit the particular location of image and model
2. Save in the normal documents folder
3. Run the source code by, python filename.pyRequirement
1. Install anaconda with vs code
**www.anaconda.com/download/success
**code.visualstudio.com
Setup python
1. Check whether your pc already have python.
2. Open anaconda, go environment tab, scroll down existing package list to find python.
3. If not existed, install python; by searching at google.
Setup pip
1. Check whether your pc already have pip.
2. Open anaconda, go environment tab, scroll down existing package list to find pip.
3. If not existed, go to desire environment, and install pip. How? By download pip bootstrap.pypa.io/get-pip.py and install at cmd, python get-pip.py
Training
1. Data cleaning; by make it as 10 image for each category, and rename is 1.jpg, 2.jpg
2. Go to teachable machine, please do training; download model
3. Examine the generated source code; library/package need to be installed
Install library
1. See the source code, list down all the library to install.
2. Ask to chatgpt, what the version TensorFlow should be installed. From there, we can determine right version of python, pillow and numpy should be installed. **Chatgpt say, suitable version is tensorflow==2.9.0
3. From there, find right version python and other library version for pillow and numpy. This things, you can see at python package website.
4. Then install one by one.
**pip install tensorflow==2.9.0
**pip install pillow
**pip install numpy==1.26.4
Setup new environemnt
**conda create --name myenvv python=3.9
**conda activate myenvv
Coding
1. by using provided source code, edit the particular location of image and model
2. Save in the normal documents folder
3. Run the source code by, python filename.py