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Hi, I tried cmake (cmake . and then make) to build on Jetson Nano board and there's error. Here is what I got.
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my…
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I am working on image classification using darknet and YOLO. While training it is giving me the following error:
30 detection
mask_scale: Using default '1.000000'
Loading weights from darknet19_4…
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I added Self-adversarial training.
How to use:
```
[net]
adversarial_lr=1
#attention=1 # just to show attention
```
Note for **Classifier**: it seems it makes training unstable for high lear…
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## ❔Question
IS this repository compatible with yolov4 darknet weights ?
## Additional context
Can we perform sparsity training using this repository for yolov4 darknet weights ?
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I want to add negative samples in my face dataset to reduce false positive and improve accuracy for small faces. Training images are mostly 1024x500 in this resolution.My training cfg network resolut…
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From the CMake output:
```
-- Autodetected CUDA architecture(s): 7.5 7.5
-- Building with CUDA flags: -gencode;arch=compute_75,code=sm_75
-- Your setup does not supports half precision (it requ…
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E:\study\target detection\PaddleDetection-release-2.1>python ppdet/modeling/tests/test_architectures.py
C:\Users\ibdong\AppData\Local\Programs\Python\Python36\lib\site-packages\numpy\_distributor_ini…
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#CSPDarkNet
参考来源:
```
https://blog.csdn.net/bule_sky_wait_me/article/details/118547757
```
主要讨论YOLOv4中的backbone(特征提取网络)——CSP-DarkNet,以及其实现的所必需的Mish激活函数,CSP结构和DarkNet。
1. Mish激活函数
激活函数的目的是:提高网…
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@AlexeyAB
Hello AlexeyAB:
I have three questions about training.
**Q1) I choose some object from coco_2014 and add one custom object, "box". However, when the training is finished, the result …
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@AlexeyAB Thank you for your work, I encountered a problem
When I converted to the tensorrt model, I found that the darknet maxpool layer implementation is l-> out_w = (w + l-> pad-l-> size) / l-> st…
ou525 updated
4 years ago