Comments (1)
I found my problem :) It was a problem with Tensorflow itself. Official binaries wont work on AWS AMI because the use the 3.5 compute ability of NVV. Building Tensorflow from source with correct settings solved this problem for me.
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Related Issues (20)
- Training Faster-RCNN using scientific data
- some errors happened when i run Make for cython module HOT 1
- module compiled against API version 0xc but this version of numpy is 0xa
- What tools do you use to implement c++ code of roi-pool layer?
- ValueError: Tried to convert 'fiter' to a tensor and faild.
- You may need to pass the encoding= option to numpy.load HOT 1
- You may need to pass the encoding= option to numpy.load HOT 5
- @gdelab while testing,I have a problem about 'pickle'. so ,i change it to open files in byte as you put it,however, another question occured"Ran out of input": File "./faster_rcnn/../lib/datasets/voc_eval.py", line 123, in voc_eval
- Python.h: No such file or directory
- python setup.py build_ext --inplace File "setup.py", line 84 print extra_postargs ^ SyntaxError: Missing parentheses in call to 'print'
- when i make..thx HOT 1
- please help me to for how to get the high accuracy in faster-rcnn and parameter tuning
- demo problem HOT 1
- tensorflow.python.framework.errors_impl.InvalidArgumentError: <exception str() failed>
- Invalid argument: TypeError: object of type <class 'numpy.float64'> cannot be safely interpreted as an integer. Traceback (most recent call last):
- 已经解决了win10下关于faster rcnn下训练自己数据集的问题,如有不了解的,可以交流
- About RPN network improvements(Cascade RPN)
- the mAP is only 0.681? HOT 1
- image invalid, skipping
- potential bug in __init__.py
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