Object detection model thundernet tensorflow.keras implementation
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Object detection model thundernet tensorflow.keras implementation
对于Tensorflow对象检测API,相同图像的拍摄时间约为0.034秒(〜30fps),但TF-Keras-ThunderNet上相同图像的拍摄时间为0.37(〜2.7fps)。
但论文声称47fps
PS:所有内核都在使用中。
The test results are all background questions.,. Have you solved it?
What is the final convergence result of your training loss function(RPN,CLass)? thanks
How can I get this model? Or do I need to build it through Keras by looking research paper?
Which version of tensorflow did you use?
Can you release the relevant dataset files? I want to train the model on my dataset. Thanks for your great work.
Thanks for great work! Could you give pre-trained weight and more detail about training?
你好,请教一下如何设定batchsize,数据生成器的代码里好像batchsize默认为1?
Thanks for your great work! And I haved trained your model on pascal2007, but the result in test shows no class only background. I haven't changed anything else except for the function get_data(input_path). Can you give me some advice? thanks!
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