keras-yolo3
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A Keras implementation of YOLOv3 (Tensorflow backend)
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**  **Images**  **Distributions**  **Histograms** 
@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...
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UnicodeDecodeError: 'gbk' codec can't decode byte 0xb5 in position 7553: illegal multibyte sequence
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