Comments (3)
you mean that you train this model without darknet53 weights?
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@sanmianjiao yes, can I?
from tensorflow-yolo3.
I did it, but failed :(
from tensorflow-yolo3.
Related Issues (20)
- Some problems with yolo_loss... HOT 1
- why set the obj_threshold = 0.3?
- is there a efficient way to shuffle the data? HOT 4
- Converged YOLO loss HOT 1
- mAP(23.43) is much low than use the pretrain weights yolov3.weights(48.14) HOT 2
- Time problem
- Running the detector with a webcam
- Is this a bug in the loss function? HOT 1
- Preprocess_true_boxes
- The w and h not change after padding when processing images
- 边框回归中的 wh_loss计算部分只对true_box的wh取log运算了,而预测边框的宽高却没有? HOT 2
- InternalError (see above for traceback): Blas SGEMM launch failed : m=173056, n=32, k=64 HOT 1
- has no attribute 'glorot_uniform_initializer
- Customizing Number of Anchors to 5
- 为什么在训练voc数据集时,验证集损失很小,但是预测效果很差?
- Why the memory used keeps increasing when training on GPU?
- OutOfRangeError (see above for traceback): End of sequence HOT 14
- weights loading has something wrong HOT 2
- Export .ckpt file from training to .pb file ? HOT 1
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