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After converting yolov4 models to onnx then TensorRT I found that models with input shape (320,320) were providing correct outputs while other shapes output were not good (really low score so no detec…
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您好,yolov3转caffemodel,用darknet和caffe跑之后对比,发现obj、w、h之间的绝对值误差蛮大的。
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Hi guys
I now want to see the detection performance of yolov4 and yolov4-tiny using
opencv dnn, but I was shocked that the results were so different from the results of the issues I had seen.
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I use YOLOv5 model and YOLOv4 model in Android app. I use NCNN to convert YOLOv5 .pt and YOLOv4-tiny .weights to Android .bin and .param. But in NCNN, use YOLOv5 in Android to detect need postprocessi…
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I have installed Cuda & OpenCV for object detection as written in docs.
And tried to detect objects on the video file and got nearly FPS: 2.8.
```
./darknet detector demo cfg/coco.data cfg/yo…
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I would like to configure as primary-gie 1 model with one class, and inside the bounding box look for other objects using another model (secondary-gie0) with 35 classes.
I'm getting this error:
Nu…
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**YOLOv9 with Quantization-Aware Training (QAT) for TensorRT**
https://github.com/levipereira/yolov9-qat/
This repository hosts an implementation of YOLOv9 integrated with Quantization-Aware Train…
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I tried to do a comparison of inference speed with yolov7 and yolov5m trained on a custom dataset running on Tesla T4 16GB gpu. The paper claims that yolov7 should be significantly faster here, howeve…
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### Please verify that you have read and understood the guidelines.
yes
### A clear and concise description of the issue.
any settings running the frigate.sh script fails
### What settings are you…
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EfficientDet: Scalable and Efficient Object Detection
* paper: https://arxiv.org/abs/1911.09070v1
> First, we propose a weighted bi-directional feature pyramid network (BiFPN), which allows ea…