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All Projects → maiminh1996 → Yolov3 Tensorflow

maiminh1996 / Yolov3 Tensorflow

Implement YOLOv3 with TensorFlow

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python
139335 projects - #7 most used programming language

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deep-learningmachine-learningtensorflowobject-detectionyolov3supervised-learning

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YOLOv3 tensorflow

Build a real-time bounding-box object detection system for the boat (using fine-tuning in tensorflow based on YOLOv3-416 weights trained en COCO dataset). Then use my own data set for distinguish different type of boat

Update: This code was written during my internship in 2018 and is no longer maintained now!!!

Inspired by YAD2K, Darknet

The full details are in this paper

Input to CCNs(Features block) General 3 Scales Features
Imgur Imgur Imgur Imgur

Test

  1. Clone this folder
  2. Transfomer the pre-trained weights in Darknet to keras (may be skip this etape to etape 3)
  • wget https://pjreddie.com/media/files/yolov3.weights
  • python3 convert.py yolov3.cfg yolov3.weights yolov3.h5
  • python3 yolo.py
  1. Or download the pre-trained weights in keras from here
  2. Run python3 propagation.py

Results (La Rochelle, la belle ville :) )

YOLOv3-608 YOLOv3-416 YOLOv3-320
608 416 320

Train for your own dataset

  1. Run python3 boat_annotation.py to get 3 files: bateau_train.txt, bateau_valid.txt, bateau_test.txt
  • In each file contains path_to_image obj1 obj2 ...
  • With obj1: x1_min, y1_min, x1_max, y1_max
  1. Run python3 train.py
  2. In propagation.py, modify classes_path to boat_classes.txt
  3. Run python3 propagation.py
  4. Enjoy your results!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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