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I try to train my own dataset with 5 objects. Previously, I trained successully using yolov3-spp with size 704*704 and the mAP stable at around 65%. I want to improve the accuracy, so I try to train y…
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### problem
My dataset consists of images with consistent size of 1024x1024 and the objects are small — mainly between 5-30, so I cropped the original images to 416x416 ones with overlaps. There is…
lizyn updated
4 years ago
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Hello, @phanxuanduc1996, i successfully convert my darknet weights to pytorch format (YoloV3), but when i'm trying convert to onnx, i've got error:
AttributeError: 'dict' object has no attribute 'sta…
ogoun updated
4 years ago
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Extinction, absorption, and scattering cross sections (or, more generally, powers - making it applicable to arbitrary incident field) are ubiquitously used for scattering in a non-absorbing homogeneou…
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Hi, I tried yolov3 and it works perfectly for my data, but it takes much time. Tiny-yolo on the other hand is fast enough for me but the detection is poor, so I tried to make a model with a performanc…
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ghost updated
3 years ago
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### Nombres y apellidos
Cristian López Del Alamo
### Contexto adicional sobre la pregunta
La respueta puede ser encontrada aquí: https://towardsdatascience.com/fast-r-cnn-for-object-detection-a-t…
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First of all, this is an awesome open source project, and the feature list is impressive. Kudos!
The one big shortcoming, in terms of my own personal needs, is the inability to import and export Ph…
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My steps：
1. Add the following code to common. py：
```
class h_sigmoid(nn.Module):
def __init__(self, inplace=True):
super(h_sigmoid, self).__init__()
self.relu = nn.ReLU6(…
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Hi,
I have some trouble understanding how interfaces are wired between fsw and cosmos and I would like to ask you a few questions :
- RADIO : My understanding of RADIO interface is that "_radi…