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Hi everyone,
I have trained a custom model of 8 classes from the sl-yolov3-spp.cfg. Once I had the resulting weights, I wanted to test the mAP of the training. However, when I write the command:
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Hi,
How to understand the difference between
[yolov3-tiny.cfg](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolov3-tiny.cfg) and [yolov3-tiny_3l](https://github.com/AlexeyAB/darknet/blob/mas…
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@AlexeyAB hi!!!
I am training my own dataset with only one class. Dataset contains of **1k** labeled images and **1k** unlabeled(empty .txt file). Each images contains from 1 to 600 small objects.
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I have been testing the speed of my custom trained yolov3-tiny with 4 classes, on a 2080ti (Turing) and a Xavier (Volta). However using xnor or INT8 both have
JC-13 updated
5 years ago
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Hi,
I would like to know if you had issues for tracking when a robot is following because, at least to me, the transform keeps jumping position from close to far as if there is no filter or somethi…
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Great work! But do you have any performance result on COCO/PASCAL?
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Hi
Can you please upload the weights that result to ultralytics yolov3 mAP reported in mAP section?
It seems like fine-tuning using those weights would be simpler than darknet pre-trained weights.
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I try to train on open-image dataset with several diffrent ways but results are really bad.
model in detect.py, return negative anchors in some tries, or model detect nothing.
for example, I train o…
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Hi AlexeyAB,
I download the yolov3-spp.cfg from below link, and I have some question to trouble you.
1, I found that the batch=1 and subdivisons=1, is it special mean? Can I set the batch=63 and…
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Hi @AlexeyAB . I've learned a lot about YOLO by reading your answers here and the "How to improve object detection" section. I haven't managed to get it to detect many objects yet so I'm seeking your …