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As you all know, gradient accumulation is not directly compatible with batch normalization, as batch normalization will be updated for every single forward step and we cannot control that externally.
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File "/home/featurize/work/yolov4-pytorch/nets/yolo_training.py", line 267, in forward
obj_mask = obj_mask & torch.logical_not(torch.isnan(iou))
AttributeError: module 'torch' has no attribut…
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# Prerequisites
Please answer the following questions for yourself before submitting an issue.
- [X] I am using the latest TensorFlow Model Garden release and TensorFlow 2.
- [x] I am reporting…
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### Search before asking
- [x] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and fou…
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## 🚀 Feature
Hi,
I detect images and find all objects as one label person, after i train coco 80 class. I don't know why?
@glenn-jocher hope your help!
## Motivation
**I only remend parser…
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I was able to build FastMOT and run it for crowshuman weights
When I changed the weights to my custom weights, which was trained using darknet on yolov4, I am getting below issues
1. The bounding bo…
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## ❔Question
yolov5 behaves better than v4.
Have you ever consider to realize the tensorRT using the python version
like [this](https://github.com/Tianxiaomo/pytorch-YOLOv4) used in v4 which can s…
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Hello everyone,
I have configured Darknet on CPU.
I am executing prediction as `darknet_no_gpu.exe detector test cfg\coco.data cfg\yolov4.cfg weight\yolov4.weights data\person.jpg` and it is working…
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I create a conda env as your requirements:
cuda: 10.1
python 3.8.0
pytorch 1.6.0
torchvision: 0.7.0
but I can't use the cuda.
`import torch
print(torch.cuda.is_available()) # False `
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Hi @glenn-jocher,
Just to let you know, we have updated our implementation to your v3.0 release.
Now we support your yolov5 v1.0(yolov5s only) v2.0 and v3.0. Refer to https://github.com/wang-xin…