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SSD implementation in development in TensorFlow

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For the loc_loss calculation, absolute difference between ground truth and anchor have been taken instead of normalized difference between ground truth and anchor. Why is it so? Am I missing...

I found that this tf code uses "feed_dict" to feed the data for training. However, it's slow in tensorflow. I remember that "tfrecords" will speed up _io_ while training.

this function require pred_labels must have rank 2, but your program the pred_labels shape is (?, 7308, 81)

I tried to run this both on the desktop and on a Jetson TX1, tensorflow 0.12.1 as well as 1.0a0 (both compiled form source) I get a type mismatch error...

In the function *get_top_confidences* in *matcher.py*, you choose the top_k confidences bounding boxes including background, I think it is not a good strategy, it may lead to train negative examples...

I compared the results of caffe detection code with the detection code implemented in this repo with the same caffe model (converted to tf model). The results are visually different....

I download vgg16.py and run, face this error: File "trainer.py", line 414, in show_webcam(FLAGS.webcam_ip) File "trainer.py", line 376, in show_webcam ssd = SSD() File "trainer.py", line 32, in __init__ self.imgs_ph,...

Hi @seann999, Where I can download the trained model (not vgg pretrained) to test?

Hi, I'm quite new to tensorflow - could you please provide an explanation how you've implemented SSD without the 2 custom layers defined in Caffe - PriorBoxLayer and MultiBoxLossLayer? From...