Comments (3)
rykov8
commented on September 4, 2024
1
@PKUWison they should be related to s_min and s_max, but in the original implementation they are just hard-coded. I think, that the authors experimented with these values, and in the paper they provide only some of the heuristics.
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PKUWison
commented on September 4, 2024
Really thanks for your answers. I have another question, I want to run the SSD model on a public dataset. But the labels of the dataset are saved in .mat file. I don't know how to transfer the .mat file to the .XML file. And I don't know whether the .XML file has any rigid requirements or not. Thanks in advance. @rykov8
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rykov8
commented on September 4, 2024
@PKUWison you could use loadmat fucntion from scipy. Actually, you don't need to convert annotations to xml, I use a little bit more convenient (at least for me) format. It was described several times in issues, e.g. in #15
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Related Issues (20)
- ValueError: shape mismatch: value array of shape (45,20) could not be broadcast to indexing result of shape (45,3) HOT 2
- work files HOT 2
- errors occurred while detecting one picture with no objects
- meaning of syntax : ”encoded_box[:, -1][assign_mask] = iou[assign_mask]”
- function "detection_out()" issue
- TypeError: list indices must be integers or slices, not tuple HOT 1
- Did this implementation do the train data normalization?
- How to Store Coordinates only once?
- Keras yolov3 Mobilenet
- prior_width should be prior_height ?
- I got an error: 'module' object is not callable HOT 3
- how could i do if i want to evaluate my model when coords='minmax'?
- list indices must be integers or slices, not tuple HOT 1
- YOLOv3 Mobilenet VOC2007test
- PriorBox layer
- output of generator should be a tuple (x, y, sample_weight) or (x, y). Found: None
- Dimensions must be equal, but are 512 and 38 for 'conv4_3_norm/mul' HOT 2
- Re-implemented SSD has high loss and low acc during training HOT 3
- loss function define?
- cannot import name 'AtrousConvolution2D' from 'keras.layers' HOT 2
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