# Blood Cancer Detection with YOLOV5

# Intrudiction

This notes that I took for target detection with yolov5. In this project, blood cancer cells were detected.

<img src="https://github.com/safakgunes/Blood-Cancer-Detection-YOLOV5/blob/main/yolov5/runs/train/exp/val_batch1_pred.jpg?raw=true" alt="prediction" width="600"/>

## Create an environment

* Update pip with the following command.

```bash

$ python -m pip install --upgrade pip

```

* Create an enviroment.

```bash 

$ conda create --name yolov5 

```

* Activate this environment

```bash

$ conda activate yolov5

```

## Requirements

* Open the yolov5 directory

```bash

$ cd <yolov5_dir>

```

* Setup requirements

```bash

 $ pip install -r requirements.txt

```

* Make sure you have cuda and cudnn installs

## Train

* Make sure environment activated. Go to yolov5 directory.

```bash

$ cd <yolov5_dir>

```

* Run commands below

```bash

% python train.py --img 416 --data ../data.yaml --cfg ./models/yolov5s.yaml  --batch 32 --epochs 50

```

* You can see the training results and  weights, enter the directory below in the yolov5 folder.

```bash

$ cd <yolov5_dir>/runs/train

```

## Detect

* Run commands below

```bash

$ python detect.py --source ../dataset/test/images/ --weights ./runs/train/exp/weights/best.pt --conf 0.4

```                                 

*  You can see the detection results, enter the directory below in the yolov5 folder.     

```bash

$ cd <yolov5_dir>/runs/detect

```