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9 changes: 5 additions & 4 deletions README.md
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Expand Up @@ -12,8 +12,6 @@ document it as well as I can.
### Tutorial for building this detector from scratch
If you want to understand how to implement this detector by yourself from scratch, then you can go through this very detailed 5-part tutorial series I wrote on Paperspace. Perfect for someone who wants to move from beginner to intermediate pytorch skills.

[Implement YOLO v3 from scratch](https://blog.paperspace.com/how-to-implement-a-yolo-object-detector-in-pytorch/)

As of now, the code only contains the detection module, but you should expect the training module soon. :)

## Requirements
Expand All @@ -39,9 +37,12 @@ the weights file into your repo directory. Or, you could just type (if you're on

```
wget https://pjreddie.com/media/files/yolov3.weights
python detect.py --images imgs --det det
python detect.py --images imgs --det det
```

for running it on google colab use below code
!wget https://pjreddie.com/media/files/yolov3.weights
!wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg
!wget https://raw.githubusercontent.com/pjreddie/darknet/master/data/coco.names

`--images` flag defines the directory to load images from, or a single image file (it will figure it out), and `--det` is the directory
to save images to. Other setting such as batch size (using `--bs` flag) , object threshold confidence can be tweaked with flags that can be looked up with.
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