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Hi @AlexeyAB
Trained and tested well on custom data set...
I tried to test on a list of images at a time using a .txt file as a parameter instead of image name. But the error is 'unknown image type…
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When I try to run
create_yolo_prototxt.py the following error appears
ERROR:root:detection layer is not supported
I tried different cfg and prototxt files but still nothing.
Any ideas?
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My project based on your repo with commit SHA - 68f762d5bdeae7ac3458529bfe6fed72714336ca https://github.com/marcoslucianops/DeepStream-Yolo/tree/68f762d5bdeae7ac3458529bfe6fed72714336ca
I generated i…
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Hi, @hunglc007
I trained my custom object detector through darknet custom object detection but when I run the "detectvideo.py" using my custom object detector .weights then I got this issue. Help …
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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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Typically when using TensorRT I see significant speed improvements but on my card I haven't really seen any (2080 ti).
The bounding boxes look good in all versions, so I can't really figure out why…
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I have a custom trained object detection network to detect the License Plates of Vehicles which I am trying to optimize for deployment on Nvidia Jetson Xavier by performing Neo Compilation. The framew…
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Hi @AlexeyAB ,
Is it possible to build a detection pipeline within darknet? If so, how can I do that?
Say in stage 1 I want to detect all faces in an image and then in stage 2 I want to perform face…
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**[Required]** Your device (RaspberryPi3, LaptopPC, or other device name):
LaptopPC-NCS2
**[Required]** Your device's CPU architecture (armv7l, x86_64, or other architecture name):
x86_64
…
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Im using NNPACK to speed up yolov3 on a raspberry pi 3b+.
I have tried different repositories that give yolo with NNPACK(digitalbrain79,shizukachan) but all are giving a segmentation fault.
I tried …