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A Keras implementation of YOLOv3 (Tensorflow backend)

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I have trained a keras-yolov3 model,how can I convert it to darknet format?

After data labeling with YOLO_mark on the darknet and training custom data, I got a weights file and a cfg file. And I convert this weight file to h5 file...

Hello, i have done training and it s working fine . I am doing tests giving the comand python yolo_video.py --image and for every image the results are good. The...

hi every one would you please help me! how can I fix this error?

Provide useful debug information on tensorboard **mAP scalars** ![image](https://user-images.githubusercontent.com/9446515/43720899-f519b490-99c3-11e8-857a-e9d61b3b33fe.png) **Images** ![image](https://user-images.githubusercontent.com/9446515/43720877-e7b107fe-99c3-11e8-9386-bc12308635ad.png) **Distributions** ![image](https://user-images.githubusercontent.com/9446515/43720740-7fa55a66-99c3-11e8-935a-05156a2f33a8.png) **Histograms** ![image](https://user-images.githubusercontent.com/9446515/43720864-e004039e-99c3-11e8-87df-8159e24f5c98.png)

@qqwweee Sorry to disturb you, I used the pretrained model to train with the command --'python convert.py -w yolov3.cfg yolov3.weights model_data/yolo_weights.h5' . It transfered the original weights to keras version...

![image](https://user-images.githubusercontent.com/35212797/43397039-1cf60b96-9436-11e8-9ec7-8359d4f6ccad.png)

Traceback (most recent call last): File "C:/yolo3/convert.py", line 262, in _main(parser.parse_args()) File "C:/yolo3/convert.py", line 83, in _main unique_config_file = unique_config_sections(config_path) File "C:/yolo3/convert.py", line 47, in unique_config_sections for line in fin:...

I first run train.py then model.save '.h' files. But when I test it using yolo.py and change the load h5 file path. But it errors.... why