Comments (7)
I found the reason!when i review the origin paper of yolo,i found that the auther pretrain the first 20 convonlutional layers on the ImageNet 1000-class dataset. So i pretrain the first conv-layers on another classification dataset(because i have no imagenet dateset),then train the whole network. Finally, it can detect things correctly! In short, if you want to train yolo from scratch, you should pretrain the first 20 conv-layers with a classification task
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I trained on my own dataset and replaced the yolo_small.ckpt with data,meta and index files, but no objects could be detected.(好桑心) Does anyone know what I should do?Thank you!!!
I have the same problem, too. Did you solve it?
I trained it without yolo_small.ckpt, and the code run normally.
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I haven't solved the error yet. My training process is also normal but I can't detect anything.
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the loss layer in the training file seems to be wrong,so training on your your dataset can't work
from yolo_tensorflow.
Thank you for your reply. Did you train on your own dataset successfully? Could you tell me how to rectify the loss function?
from yolo_tensorflow.
the loss layer in the training file seems to be wrong,so training on your your dataset can't work
I trained it on the pascal_voc dataset without yolo_small.ckpt, and still can't detect anything, too.
from yolo_tensorflow.
I have the same problem.Did anybody solve it?Or it means that i must use yolo_small.ckpt?
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Related Issues (20)
- Approach for detecting nothing HOT 2
- pascal_voc.py line 69 in prepare
- Custom data training error HOT 4
- problem about yolo weights HOT 1
- Train loss not decrease HOT 2
- Non-Maximum Suppression HOT 1
- Communicate in Chinese!中文交流! HOT 11
- Can not detect object after training your network ? HOT 8
- Bounding Box Values Extraction
- InvalidArgumentError (see above for traceback): LossTensor is inf or nan : Tensor had NaN values [[Node: train_op/CheckNumerics = CheckNumerics[T=DT_FLOAT, message="LossTensor is inf or nan", _device="/job:localhost/replica:0/task:0/device:CPU:0"](total_loss)]] HOT 2
- maybe I can not use my gpu?
- 将cell
- 改变config文件中CELL_SIZE改变后程序出现错误 HOT 2
- Training my own dataset
- How do i fix this?
- How to use training output?
- The issue of calculate center_x and center_y HOT 2
- What will we get after train and test?
- 请问怎样计算mAP
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