https://github.com/331dala/potato_proj
A ML project detect the potato early blight and late blight disease.
https://github.com/331dala/potato_proj
deep-learning docker fastapi machine-learning nodejs python reactjs tensorflow tensorflowserving
Last synced: 3 months ago
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A ML project detect the potato early blight and late blight disease.
- Host: GitHub
- URL: https://github.com/331dala/potato_proj
- Owner: 331Dala
- Created: 2025-03-13T15:12:24.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-20T17:33:54.000Z (over 1 year ago)
- Last Synced: 2025-03-20T18:32:48.995Z (over 1 year ago)
- Topics: deep-learning, docker, fastapi, machine-learning, nodejs, python, reactjs, tensorflow, tensorflowserving
- Language: Jupyter Notebook
- Homepage:
- Size: 46.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# potato_proj🥔
A ML project detect the 💉potato early blight and late blight disease.
🤖
Dataset：
https://www.kaggle.com/datasets/arjuntejaswi/plant-village?resource=download
system: windows10 (with **cuda11.3**)
## problems & solutions
- python version higher than **python3.9**, can't find **tensorflow2.5**.
(some version of tensorflow didn't have tensorflow.keras.layers.experimental.)
- when install pakages, notice the **compatibility** of dependencies and packages.
Use commands like `pip check`.
- Encounter cuda problem, when training model.
Get hint from notebook Browser userInterface:
`Kernel Restarting The kernel for training/training.ipynb appears to have died.It will restart automatically.`
if without any hints else,
try to check the notebook running logs, in CLI, find massage like:
`Could not locate zlibwapi.dll. Please make sure it is in your library path`
so we try to find zlibwapi.dll. From NVIDIA official website below, I get some clues.
https://forums.developer.nvidia.com/t/zlib-dll-for-latest-cudnn-in-official-install-guide-is-missing/197630/6
If you can't find file zlibwapi.dll from where they find zlibwapi.dll file directories.
Try to search all the C desk ,u will find a lot of zlibwapi.dll file.
copy any one of them paste it to your directory like `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3\bin`.
then, restart your kernel try to train again.
- Working on **FastAPI** error below occur.
ImportError: cannot import name 'ParamSpec' from 'typing_extensions'.
Try ```pip uninstall fastapi```and```
pip install --no-cache fastapi```.
- Docker problems maybe due to the ports num, typos like me
**8501:8501\-\->8501:8051**
😫😫😫
# Start Step & Structure
(Here use **Jupyter** with `python -m notebook` in folder `/training`)
tf dataset
Data augmentation(1.keras.layers.experimental.preprocessing & 2.ImageDataGenerator api)
↓
CNN (cache|prefetch)
↓
(from here I use **pycharm** in folder `/api`)
Deployed via tf-serving in Docker to FastAPI.
run main-tf-serving.py,
open Docker run with:
``` PowerShell
docker run --rm -it -p 8502:8502 -v D:/ml_workspace/potato_proj:/potato_proj tensorflow/serving --rest_api_port=8502 --model_config_file=/potato_proj/models.config
```
You can test with Postman.
↓
(Here I use VSCode for Frontend and PyCharm for Backend)
React JS (Build UI and interact with)
Node.js (JavaScript running env)
run Node.js in folder /frontend with:
```Bash
npm run start
```
Then run the `/api/main.py` in VSCode
↓
GCP
↓
React Native (mobile application, get stuck here, will do it afterward)