我正在尝试在自定义数据集上训练 Yolo，一切似乎都没有错误，但这不是训练。
我遵循了https://github.com/AlexeyAB/darknet上的教程两次，但得到了相同的结果
./darknet detector train data/obj.data cfg/yolo-obj.cfg yolov4.conv.137
[yolo] params: iou loss: ciou (4), iou_norm: 0.07, cls_norm: 1.00, scale_x_y: 1.05
nms_kind: greedynms (1), beta = 0.600000
Total BFLOPS 59.563
avg_outputs = 489778
Loading weights from yolov4.conv.137...
seen 64, trained: 0 K-images (0 Kilo-batches_64)
Done! Loaded 137 layers from weights-file
Learning Rate: 0.001, Momentum: 0.949, Decay: 0.0005
Resizing, random_coef = 1.40
608 x 608
Create 64 permanent cpu-threads
mosaic=1 - compile Darknet with OpenCV for using mosaic=1
我也试过没有预先训练的权重，但这也没有开始训练过程 …