basasuya-yolo3

      

A Keras implementation of YOLOv3 (Tensorflow backend) inspired by allanzelener/YAD2K and qqwweee/keras-yolo3

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Use Official Parameter

1. Download YOLOv3 weights from YOLO website.
2. Convert the Darknet YOLO model to a Keras model.
3. Run YOLO detection.

wget https://pjreddie.com/media/files/yolov3.weights
python convert.py yolov3.cfg yolov3.weights model_data/yolo.h5
# yolo.h5 is the netwoerk parameter

Training By Yourself

see https://github.com/qqwweee/keras-yolo3/blob/master/README.md of the training part

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Prepare The Environment

1. install python3 and some library(recommend through virtualenv)

 pip install -r requirements.txt

2. install mongodb

Run The System

start three terminal and run the next command.

$ monogod

$ cd Visual
$ python3 manage.py runserver 8000

$ python3 ui.py

Wish you enjoy it!