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##❔Question
Could you please give some references that use IOU as objectness labels?
##Additional context
I notice it is called objectness smooth in yolov4 codes, but I can't find who is first us…
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作者你好:
想請教一般paper report 的 parameter size 與 FLOPS 的數字, 是否會包含yolo layer, NMS 這些呢?
非常感謝
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Hi guys,
I want to know whether ScaledYOLOv4 uses Deformable Convolution. Although according to the paper, it seems ScaledYOLOv4 doesn't use Deformable Convolution, I just want confirm whether it use…
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Thanks for your repo. I can successfully run yolov5 with 640x640 or 416x416.
But it cannot detect anything with rectangle input image size.
In export_onnx.py, I set default=[416, 640]. In config.yam…
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Hi...
Can someone clarify the effect of BFLOPS on the detection speed of the networks?
Yolo v3 has 65.9 BFLOPS
Yolo v4 has 128.5 BFLOPS
But still the fps of Yolo v4 is better than Yolo v3. …
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Hi @AlexeyAB ,
I am currently writing my bachelor thesis in Munich about a comparison of version 3 and your well improved version 4. In order to fully understand the performance differences I have …
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HI
i try to install mish-cuda by this instructions:
conda create -n scaled-yolov4 python=3.7 -y
conda install pytorch==1.7.0 torchvision==0.8.1 cudatoolkit=10.1 -c pytorch -y
git clone https://g…
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in dataset.py,function [preprocess_true_boxes ]
anchors_xywh[:, 2:4] = self.anchors[i]
iou_scale = utils.bbox_iou(
bbox_xywh_scaled[i][np.…
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I am trying to define yolov3 using dlib's dnn module.
I'm stuck with the darknet53 backbone, as I want it to output the outputs of the last three layers.
So far i have this:
```
using namespace dl…