squeezeDet
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A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
Hi, I wonder how it would be possible to run hard negative mining as in SSD paper? " Instead of using all the negative examples, we sort them using the...
hi, when I retrain the squeezeDet net on kitti dataset. I set the batch_size to 1 or 10, and I found that the usage of the GPU are just same...
When no pre-training model is used, the random initialization parameter is used to train the squeezeDet, and another GPU is verified at the same time, but the training does not...
Hi, This PR request is to add a config setting for the flip probability.
Hello, I'm trying to run this model on a RPI using tensorflow 1.9.0. The execution is good but gives an bus error when entering the session.run function. Issue is similar...
Hi, is it possible to include online hard example mining in squeezedet?
Has anyone tried to train SqueezeDet from scratch? If yes how long does it take to converge? I have some multimodal features I am using hence cannot use the ImageNet...
Why is the IoU layer associated with a batch size? Is there a way to make it independent of the batch size? It prevents us from analyzing the learned model...
Hi all, first of all thanks for sharing this much content on your model. I want to do inference with squeezeDet inside a C++ project (roscpp). For this I need...
I try to train this model on my own dataset. I created the structure of folder similar to kitti. I have the same size of image as KITTI. But my...