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I want to run yolo9000 on an image, but limit what it can detect to only 5 of the 9000 classes. Here is what I have done so far:
1. changed 9k.names to only have 5 class names
2. changed 9k.label…
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How to train my own dataes with yolo9000.cfg
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1. its really amazing, you have covered 9k classes. The performance of the model is not that much good as compared to yolov4,yolov4-mish. Is there any chances of getting yolo9000 weights which is trai…
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Before that, I have done the following test on windows:
1. compile darknet then test **yolo-voc** and **yolo-9000**
2. compile darknet_no_gpu then test **yolo-voc** and **yolo-9000**
3. compile yol…
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OS : ubuntu16.04.5
cuda : 7
cudnn : 8
g++ : 5.4.0 20160609
Makefile configuration:
Try with two options, both of them fail
1. gpu on
```
GPU=1
CUDNN=1
OPENCV=0
DEBUG=1
OPENMP=1
LIBSO=…
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Hi Alex
Would there any easy way to transfer yolo9000 weights into yolo v3 weights?
thanks,
Ed
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I see into the work of YOLOv3. Then I run detection with yolov3.cfg , yolov3.weights and coco.names (80 class list) all working good at video and images, and accuracy too fine. But if I change cfg to …
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Is there any documentation about training YOLO-9000 (I mean, with WordTree) with my own dataset? What file format should I use?
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good job, yeahkun,
recently, the author of yolo release YOLOv2 code. do you have plan to upgrade caffe-yolo to YOLOv2? if yes, that should be great!
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Is the original yolo model, which was trained on imagenet available in the Turi Model format? I know that it is available in CoreML format, but I also do not see a way to convert CoreML back to the in…