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This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

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https://github.com/DetectionTeamUCAS/FPN_Tensorflow/issues/81 我看了这个issue,还是不知道怎么改?为什么只是在cfgs.py里面写上VERSION和NET_NAME就能用ResNet了?

我用RTX 2060 6G不太够用,即使跑一张40*40的图片也不行。我见2017年的FPN paper上面写的是使用8个GPU

2020-12-29 11:04:21.313687: W tensorflow/core/framework/op_kernel.cc:1502] OP_REQUIRES failed at matching_files_op.cc:49 : Not found: ../data/tfrecord; No such file or directory 2020-12-29 11:04:21.313951: W tensorflow/core/framework/op_kernel.cc:1502] OP_REQUIRES failed at matching_files_op.cc:49 : Not found: ../data/tfrecord; No...

P6 = slim.avg_pool2d(P5, kernel_size=[1, 1], stride=2, scope='build_P6') 这个kernel_size不应该是[2, 2]么?

![训练结果](https://user-images.githubusercontent.com/49674669/100834355-b755c880-34a6-11eb-836a-1dacb214154d.png)

他的权值全部自己初始化吗?不冻结网络全部训练

想不用预训练模型进行训练,应该怎样修改呢? ![Selection_006](https://user-images.githubusercontent.com/38058730/85125793-d517d400-b25e-11ea-84e4-0ebecd1109d8.png)

When I inference my data with the checkpoint obtained from the multi_gpu_train.py, it get an error as follow: Traceback (most recent call last): File "/root/anaconda3/envs/tensorflow12/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call return...

InvalidArgumentError (see above for traceback): Reshape cannot infer the missing input size for an empty tensor unless all specified input sizes are non-zero [[node Fast-RCNN/build_fc_layers/flatten_inputs/flatten/Reshape (defined at /home/dell-g3/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/layers/python/layers/layers.py:1623) = Reshape[T=DT_FLOAT,...