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![image](https://user-images.githubusercontent.com/13531174/101131453-a9d84400-3648-11eb-9391-973c0c85dfce.png)
I don't know what is the code 'yolo'.
Does it mean a darknet-yolov4 github code?
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Hi, I'd like to know how FPS is computed? How does the time consumption per detection be considered? Include data input, network forward and NMS or just network forward and NMS or any other way?
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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, I would like to know, if possible, which of the new parameters used in the [yolo] section in the new yolov4 and yolo 4x-mish are used for detection, more specifically these parameters:
objectne…
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I have been making headway on the csp model with 257 classes. mAP has increased to 11% and loss is hovering around 120% after 55K iterations. Obviously I am continuing but the question is two fold:
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I released Mish activation function a couple of weeks ago and it has a significant improvement in performance over ReLU, Swish and other commonly used activation functions. Full details along with the…
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Hi Thanks for your contribution in this repo.
i've train yolov4-csp with the size 256,256 and class=1, and export .pt --> .onnx in colab.
I tried to convert onnx (from colab) to Trt using onnx_ t…
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Hi thanks for sharing the wonderful work! I'm wondering which CSP backbone is used as from the paper:
http://openaccess.thecvf.com/content_CVPRW_2020/papers/w28/Wang_CSPNet_A_New_Backbone_That_Can_En…
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The training is happily chugging along, but I was curious as to about when would I start to see some learning progress. I was looking around for an equation or estimation of the number of iterations …
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My graphics card is GeForce RTX 2060. I have 2770 images with resolution being 1920x1080 for training. I successfully trained a YOLOv4-CSP-SAM model with network size being 320 and subdivisions=32. I …