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Small fix.
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ksanjeevan committed Oct 16, 2018
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3 changes: 1 addition & 2 deletions README.md
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Expand Up @@ -17,7 +17,6 @@ Original paper and github: [YOLO9000: Better, Faster, Stronger](https://arxiv.or
- [numpy](http://www.numpy.org/)
- [h5py](http://www.h5py.org/)
- [opencv](https://pypi.org/project/opencv-python/)
- [python 3.5](https://www.python.org/)
- [moviepy](https://zulko.github.io/moviepy/) (optional, gifs)
### Simple use
---
Expand All @@ -27,7 +26,7 @@ Original paper and github: [YOLO9000: Better, Faster, Stronger](https://arxiv.or
git clone https://github.com/ksanjeevan/dourflow.git
```

1. Download pretrained [model](https://drive.google.com/open?id=1khOgS8VD-paUD8KhjOLOzEXkzaXNAAMq) and place it in **dourflow/**.
1. Download pretrained model: [3.5](https://drive.google.com/open?id=1khOgS8VD-paUD8KhjOLOzEXkzaXNAAMq) / [3.6](https://drive.google.com/file/d/1KgiKBcDuHfUvI8tM8JKgKbUWuGGz-N1I/view?usp=sharing) and place it in **dourflow/**.

2. Predict on an [image](https://images.pexels.com/photos/349758/hummingbird-bird-birds-349758.jpeg?auto=compress&cs=tinysrgb&h=350):

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2 changes: 0 additions & 2 deletions net/netparams.py
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Expand Up @@ -119,8 +119,6 @@ class YoloParams(object):

# Model
IN_MODEL = args.model
if not os.path.isfile(IN_MODEL):
raise ValueError("Pass valid input keras model.")

OUT_MODEL_NAME = config['train']['out_model_name']
ARCH_FNAME = config['config_path']['arch_plotname']
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