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I have measured detection speed on Jetson Xaiver NX.
The results is below (using fp16)
nano : 0.0721[s]
tiny : 0.0662[s]
Would you tell me the cause of the result?
Thank you in advance.
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I followed the steps to convert my PyTorch-trained model to onnx-simplifier, then converted that model to ncnn and modified the focus layer. However, in the output section at the bottom, there is no r…
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我使用0.1.0版本![tensorrt](https://user-images.githubusercontent.com/67197465/143181829-45f4a41a-5f86-49ec-af0a-b2762636fdd5.jpg)yolox_nano训练自己的数据集,用官方的tensorrt C++部署时推理结果不对,这是什么原因导致![Uploading tensorrt.jp…
zzzfo updated
2 years ago
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First, Thank you for your team's research and contribution!
Have you tested the results of the free anchor like YOLOX, thx!
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作者你好!我用你们的yolox训练自己的数据集时发现total_loss一直震荡下不去,我使用的数据集一共有3000张图片,训练集验证集的划分比例为8:2。请问需要进行哪些改动才可以让total_loss降下去呢?谢谢!
![1](https://user-images.githubusercontent.com/53384442/127726135-9482046d-ee64-4750-beb…
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As mentioned in title, have you used giou/diou/ciou to train yolox, and who is better?
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li@li-desktop:~/Desktop/YOLOX-main$ python3 tools/demo.py image -f exps/default/nano.py -c yolox_nano.pth --path assets/dog.jpg --conf 0.25 --nms 0.45 --tsize 640 --save_result --device gpu
T…
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Hi,
I have 2 bugs related to slicing.
1. In the `forward` method of a torch module, that uses rank 4 tensors, attempting to slice and assign to a number.
2. In the `forward` method of a torch m…
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您好,我做了以下改变,将主干网络换为mobilenetv3,加载预训练模型,epoch为100,其他参数没变,在云端GPU训练,不管是冻结训练还是解冻训练,测试结果准确率召回率均为0,map值极低,百分之个位数。检查了一下,model_path,classes_path,classes.txt均改为自己的数据,图片路径和标签也没错,损失也降到了零点几左右,但是检测结果感觉跟没训练一样,不知道是哪方…