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Ma-Dan
27744e028b
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3 years ago | |
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| font | 4 years ago | |
| model_data | 4 years ago | |
| yolo4 | 3 years ago | |
| .gitignore | 4 years ago | |
| LICENSE | 4 years ago | |
| README.md | 3 years ago | |
| callback_eval.py | 3 years ago | |
| coco_annotation.py | 4 years ago | |
| convert.py | 4 years ago | |
| decode_np.py | 3 years ago | |
| kmeans.py | 4 years ago | |
| test.py | 3 years ago | |
| train.py | 3 years ago | |
| train_bottleneck.py | 4 years ago | |
| voc_annotation.py | 3 years ago | |
| yolo4.png | 4 years ago | |
| yolo4.py | 4 years ago | |
| yolov4.cfg | 4 years ago | |
README.md
keras-yolo4
请使用更完善的版本:
https://github.com/miemie2013/Keras-YOLOv4
Please visit here for more complete model:
https://github.com/miemie2013/Keras-YOLOv4
Introduction
A Keras implementation of YOLOv4 (Tensorflow backend) inspired by https://github.com/AlexeyAB/darknet.
Frame code from https://github.com/qqwweee/keras-yolo3.
Quick Start
- Download YOLOv4 weights from yolov4.weights.
- Convert the Darknet YOLOv4 model to a Keras model.
- Run YOLOv4 detection.
python convert.py
Running convert.py will get keras yolov4 weight file yolo4_weight.h5.
Usage
Inference
python test.py
Todo
Debug train code with CIoU loss. Loss code from https://github.com/david8862/keras-YOLOv3-model-set.
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