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In yolox/tracker/byte_tracker.py, the code says:
`dists = matching.iou_distance(strack_pool, detections)`
`if not self.args.mot20: dists = matching.fuse_score(dists, detections)`
Can I clarify what…
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I just trained yolo-v3 for 7 classes. My hardware is JETSON TX2.
I followed the instructions to change classes and filters for each of 3 [yolo]-layers and 3[convolutional] layers before [yolo] as be…
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## Semantic3D
I submitted Semantic3D results and got the following results:
- semantic-8: 0.690
- reduced-8: 0.758
## S3DIS
I got the following results and much lower than the paper…
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**Describe the bug**
This issue is a bit intermittent. When you put underscore in the node name, you get "Invalid name detected for this device" (or "Invalid name detected for IOU node" in case of IO…
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Does anyone encounter the situation that CPU can run but GPU will be stuck in the first epoch?
Results can be obtained when training with CPU. But when I train my own data with GPU, I will be stuck h…
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Hi！请问用rotated IOU loss是不是容易引起梯度爆炸？我在自定义的数据上表现出的梯度爆炸的情况，刚开始是没问题的，就是loss有点抖，但是后面就直接nan了；IOU loss应该不可导吧，请问这个Rotated IOU loss是怎么实现可微的，我看上交的严老师课题组基于Ratated IOU loss不可导的问题发展了两套近似的loss，比较好奇你们怎么做到可导的。期待您的答复~
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# Test code
```python
from torch.utils.tensorboard import SummaryWriter
from conf import WRITER_PATH
writer = SummaryWriter(str(WRITER_PATH / "test1"))
with writer:
writer.add_hparams(…
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./darknet detector train cfg/voc.data cfg/yolov1/tiny-yolo.cfg
tiny-yolo
layer filters size input output
0 conv 16 3 x 3 / 1 448 x 448 x 3 -> 44…
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It show me this :
creating index...
index created!
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=39.81s).
Accumulating evaluation …
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Thanks for the great paper, dataset and code!
I tried to train the model with ready data using single GPU, it took roughly half day. So I tried to add some distributed training component, the train…