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Almost results are Zero. #30
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I met the same problem and i have trained the model nearly 700 epoch for 300 images with batch size 32 |
The same problem met. |
Any solutions yet for this issue? |
I use another SSD code (https://github.com/qijiezhao/pytorch-ssd) instead of this code. |
Hi @kimna4 , Thanks very much for your help! |
Hi @cvtower , You can get the pretrained model from here ( https://github.com/amdegroot/ssd.pytorch ). Thank you |
i don't know why but i use the same model to finetune the BDD100K dataset, and i get a quite well result: |
Hi, |
Hi all, After checking the source code and cfg files, i found that the default .yml cfg file for most network contains only 'test' phase, that is no training will ever happen during default "training". To solve this issue:
|
why i run the demo, it's none result? ids, count = nms(boxes, scores, self.nms_thresh, self.top_k) |
@whuzs also try: add 'scores.size(0) == 0' in detection.py as follows: |
@cvtower hi, after i modify the .yml file-add train into the phase list ,i also meet the same problem.
but torch version is 1.3.0 |
@cvtower i have solved it |
hello, |
I think the initialization weights in the master branch has some issues. That cause the problem for low AP when we train from scratch. But it should be fixed by the dev branch. Please try the code in the dev branch. Will close the issues for now. |
Hello, I tried run your code using "ssd_vgg16_train_voc.yml"
But, almost results are zero and doesn't increase.
=======================================================
AP for aeroplane = 0.0000
AP for bicycle = 0.0000
AP for bird = 0.0000
AP for boat = 0.0000
AP for bottle = 0.0000
AP for bus = 0.0000
AP for car = 0.0000
AP for cat = 0.0000
AP for chair = 0.0000
AP for cow = 0.0000
AP for diningtable = 0.0000
AP for dog = 0.0000
AP for horse = 0.0000
AP for motorbike = 0.0000
AP for person = 0.0001
AP for pottedplant = 0.0003
AP for sheep = 0.0000
AP for sofa = 0.0000
AP for train = 0.0000
AP for tvmonitor = 0.0000
Mean AP = 0.0000
================================================
Above result are printed at epoch 5.
Although the number epoch is too low, there are problems.
Please tell me the way to fix these problems if you know.
Thank you.
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