GDarknet - YoloV3 with GIoU loss @KarolMajek
GDarknet - YoloV3 with GIoU loss  @KarolMajek
Uploaded April 2019 | Updated September 2026, 3 weeks ago
YoloV3 with GIoU loss implemented in Darknet
Source code + weights: github.com/generalized-iou/g-darknet

Details:
cfg, data:
github.com/generalized-iou/g-darknet/tree/master/cfg/runs/coco-giou-12
weights:
bit.ly/2TRNa6V

you need to change config to inference mode (batch=1 instead of 16)


a working link to original input 4k video: archive.org/details/0002201705192
GDarknet - YoloV3 with GIoU lossZero-Shot Object DetectionATSS R50 FPN 1x Adaptive Training Sample SelectionTensorflow Monodepth - City2eigen dataset - Tesla K40cDETR ResNet 50 Object DetectionTensorflow Monodepth model trained on CityscapesMegaDepthOpenVINO SSDLite Mobilenet V2YOLOv3 + Deep Sort tracking by yehengchenStreet signs, manholes, vents, air conditioners detection4K Road traffic video for object detection and tracking - free download now!Tensorflow Monodepth - Cityscapes dataset - GeForce GTX 1080
Karol Majek |

GDarknet - YoloV3 with GIoU loss

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