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@TNTWEN , thanks for the great work. I was able to convert and run the yolov4 tiny using the object_detection_demo_yolov3_async demo program. I've noticed that this new model is 10fps slower than yolo…
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Hello @AlexeyAB,
first, thank you for your work with the darknet improvements and especially for your documentation, along with my many thanks to @pjreddie.
I'm sorry if it gets too long, I'm not …
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**Hi, @AlexeyAB! I've performed my first "test" transfer learning on 3 classes: Person, Human leg and Human foot from Google Open Images Dataset. I was following your guidelines in the README. They ar…
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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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if cfg.use_darknet_cfg:
model = Darknet(cfg.cfgfile)
else:
model = Yolov4(cfg.pretrained, n_classes=cfg.classes)
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Is anybody aware of a script to augment my data by randomly cropping (zooming in on smaller objects) and adjusting the corresponding bounding boxes annotations accordingly?
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I have tested this work with the result of 20+FPS on 1920x1080 vedio. (gtx 2060)
can i put yolov4-tiny in this work?
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* what command do you use? - for train on colab
```!./darknet detector train "/content/darknet/obj.data" "/content/darknet/yolov4-tiny-maske.cfg" "/COLAB/maskev4/backups/yolov4-tiny-maske_last.weight…
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##### System information (version)
- OpenCV => 4.4dev
- Operating System / Platform => Ubuntu 18.04
- Compiler => gcc 7.5
- nVidia Driver: 450.57
- CUDA: 11.0.194GA
- cudnn: 8.0.2GA
##### Det…