# PV_Panel_Classify

**Repository Path**: ForkHouse/PV_Panel_Classify

## Basic Information

- **Project Name**: PV_Panel_Classify
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-04-24
- **Last Updated**: 2025-04-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PV_Panel_Classify

It is slightly simplified implementation of Convolutional Neural Networks for Image Classification
Image Classification via CNN neural network implemented in tensorflow

# Key Requirements: 
* Python 3.5.3 
* Tensorflow 1.13.1
* Numpy 1.16.3

Suggestion: Better to download Anaconda as it will take care of most of the other packages and easier to setup a virtual workspace to work with multiple versions of key packages like python, tensorflow etc.

# Directory structure description
* ./resize_photoes.py   # resize image size to 100*100
* ./tmp  # Save the model and model parameters to view the training information using the tensorboard
* ./0510/N  # put training data(images)--abnormal pictures
* ./0510/P  # put training data(images)--normal pictures
* ./0510_resize/N  # put resized training data(images)--abnormal pictures
* ./0510_resize/P  # put resized training data(images)--normal pictures
* ./valid_photo  # put validation data(images)