Comments (2)
- nope.
- detect.py has similar detect functions. I only modified detect() function. Other functions are not modified to keep the width/height ratio of the input image. The performance is varied along to keeping the aspect ratio or not. Keeping aspect ratio is related to find more accurate bounding box of the object.
from pytorch-0.4-yolov3.
Thank you sir for your reply and well performance project sharing.
from pytorch-0.4-yolov3.
Related Issues (20)
- I have issues in training ( evaluation problem! ) HOT 3
- data file not found in such condition HOT 5
- Why just output "Training for (12801,1285)"?? HOT 1
- Where should I edit code to change input image? HOT 3
- Can you tell me meaning of loss values? HOT 6
- find loss each epochs HOT 2
- What is 'eps' in evalutation? HOT 2
- Where can i find mAP in code? HOT 2
- training with single image HOT 1
- the part of subdivisions implemented HOT 1
- About def get_different_scale(self) and RuntimeError: .....size of tensor must match HOT 3
- loss HOT 1
- subdivisions HOT 1
- train issue HOT 1
- how to set maximum epoch on this code ? HOT 6
- How to test the images after training complete? HOT 1
- RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 608 and 416 in dimension 2 at /pytorch/aten/src/TH/generic/THTensor.cpp:689 HOT 1
- Training with multiple bounding boxes in a single image HOT 1
- training metrics HOT 1
- f
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from pytorch-0.4-yolov3.