NAS_FPN_Tensorflow
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NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Hi, I tried the "resnet50_v1d", for a single class object detection. But as the pretrained model is trained for 80 classes, I am unable to train it for single class....
I want use resnet101_v1d , when i try to train model on my datasets ,it is failed, i can not restore the model, I want kown how to use it...
I have modified the code for Resnet_152_v1 and python multi_gpu_train.py. But GPU memory 1234MB only used, But GPU is not utilized ( i have set the GPU_GROUP = "0"). CPU...
Code brakes with tensorflow 1.14.0, module tensorflow.contrib was removed https://github.com/tensorflow/tensorflow/issues/31350 had to move to 1.14 because has a fix for something else https://github.com/tensorflow/tensorflow/issues/34551
tensorflow contrib' module note found How to fix this issue in anaconda
tensorflow contrib' module note found How to fix this issue in anaconda
Training with my own dataset can achieve 0.95 mAP on FPN. Why on nas-fpn only have 0.3
I try to training my dataset, and i have reference the three steps in README.md, I use the pretrained weights resnet_v1_50.ckpt, and i modify the $PATH_ROOT/libs/configs/cfgs.py and $PATH_ROOT/libs/label_name_dict/lable_dict.py and $PATH_ROOT/data/io/read_tfrecord.py,...
Hi! Thanks for sharing the code! I'm sorry I urgently need test-dev results and don't have time to test and submit them. If you have ready results for me, it...