# yolo_tensorflow

**Repository Path**: cyanlaser/yolo_tensorflow

## Basic Information

- **Project Name**: yolo_tensorflow
- **Description**: Tensorflow implementation of YOLO, including training and test phase.
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-11-02
- **Last Updated**: 2021-09-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## YOLO_tensorflow

Tensorflow implementation of [YOLO](https://arxiv.org/pdf/1506.02640.pdf), including training and test phase.

### Installation

1. Clone yolo_tensorflow repository
	```Shell
	$ git clone https://github.com/hizhangp/yolo_tensorflow.git
    $ cd yolo_tensorflow
	```

2. Download Pascal VOC dataset, and create correct directories
	```Shell
	$ ./download_data.sh
	```

3. Download [YOLO_small](https://drive.google.com/file/d/0B5aC8pI-akZUNVFZMmhmcVRpbTA/view?usp=sharing)
weight file and put it in `data/weight`

4. Modify configuration in `yolo/config.py`

5. Training
	```Shell
	$ python train.py
	```

6. Test
	```Shell
	$ python test.py
	```

### Requirements
1. Tensorflow

2. OpenCV