Comments (1)
The total number of categories in the dataset, the total number of training data, the total number of validation sets, these need to be modified, and the rest do not need to be modified. In addition, the format of the dataset you train is tfrecord.
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Related Issues (20)
- Is the coordinate position of the detection box upper left corner, lower right corner or upper left corner with width and height?
- How can I use multi-GPUs to train the ssd model? HOT 1
- the pixel of train_image_size is 256
- InvalidArgumentError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error: Assign requires shapes of both tensors to match. lhs shape= [1,1,1024,1024] rhs shape= [1,1,4096,4096] [[node save/Assign_29 (defined at E:\Infrared_Deeplearning\SSD-AbsoluteCoord\utility\scaffolds.py:86) ]] HOT 2
- 为什么开始训练后执行到一定情况就会卡住,然后CPU占用率满,但是gpu为0 HOT 1
- 为什么多GPU并行报OOM
- Why there are no celoss ,locloss and loss images after I finish training on my own dataset?
- 请问如何在GPU上运行? HOT 1
- How to train my own
- How to continue the last training? HOT 1
- eval_ssd.py 生成的预测结果文件中没有filename HOT 1
- TypeError: Expected binary or unicode string, got None
- may i have a script for transferring .ckpt to .pb
- Hello, can this network run under win10 + CPU environment?
- 请问我在执行eval——
- 请问我在执行eval_ssd.py遇到的问题,下面是报错内容
- voc_eval.py 211行出现keyerror: File "voc_eval.py", line 211, in voc_eval R = class_recs[image_ids[d]] KeyError: '000000117121' HOT 3
- 怎样把Tensor转换成NDArray
- tensorflow.python.framework.errors_impl.NotFoundError: Could not find directory
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