ronger-git

Have you tried running in the cuda10.0 environment? My GPU only allows me to install cuda10.0, but it always reports errors. The most recent error is when running the save_model.py....

@MuhammadAsadJaved That TensorFlow is 1.13.1. But when I use tensorflow2.0.0, there is a new error!  This may still be a TensorFlow version problem. Which TensorFlow version have you...

@MuhammadAsadJaved HI！I have resolved this version issue, thanks for your reply.

@victorvargass hi ！I also encountered the same problem as you, when I use own weights and run detect.py or detect_video.py there no detections at all.What codes have you changed to...

I use the original anchors to train my model(yolov4-custom.cfg), but nothing can be detected. But AlexeyAB detections worked well.

that is my cfg file: [https://github.com/ronger-git/darknet/blob/master/cfg/yolov4-ship.cfg](url) I only modified the 'classes','filters','max_batches' and 'steps' from original yolov4-custom.cfg files: [https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov4-custom.cfg](url)

I did not modify the input_size. I only modify the path of weights and output.Then use 'python save_model.py --model yolov4' to run.

> > 我没有修改input_size。 > > 我只修改权重和输出的路径，然后使用'python save_model.py --model yolov4'运行。 > > 但是您必须指定--input-size标志，因为Yolov4输入大小的默认值为**416，**但是您使用**608**的输入大小来训练模型（位于.cfg文件中）。 > > 因此，要正确保存模型，您必须运行以下命令： > > python save_model.py --weights **weights_path-**输出**output_weights_path** --input_size **608** --model **yolov4** > > 然后运行检测： > python...

I also encountered the same problem. Is your problem solved？