tensorflow-densenet
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pudae
Tensorflow-DenseNet with ImageNet Pretrained Models
Hello, thanks for your great work. I need your pretrained model for my own experiment. I'll appreciate it if you can give me the access. My google mail address: [email protected]
Training a model from scratch. If i want to use 8 GPUs to train a model（a server），how to configure these flags's value? flags: num_clones worker_replicas num_ps_tasks
Hi, thanks for your work. I found the DenseNet-121 on ImageNet's feature map size in each block is [56,28,14,7], however in the pre-trained model is [55,27,13,6] ```python densenet121/conv1/convolution [-1, 112,...
Hi, thanks for your work, can you provide a DOI for citing your repository and DenseNet-121 pre-trained model on ImageNet? Thanks a lot
Hello I'm trying to train densenet as part of Faster-RCNN architecture using pre-trained checkpoint, I would like to know if there is required preprocessing image step required to successfully run...
I saw this fix pop up in #11 and since it cost me a few training hours, decided to open a PR for it.
Hi, thanks for your code. TensorFlow-Slim Models' page is not found do you have any other link?
In tensorflow, we could use these commends to set the usage of gpu config = tf.ConfigProto() config.gpu_options.per_process_gpu_memory_fraction = 0.9 # 占用GPU90%的显存 session = tf.Session(config=config) If I use the package of...
In densenet.py Line: 48 shouldn't it be ?? if dropout_rate: >>>>>net = tf.nn.dropout(net,**keep_prob=dropout_rate**)
Hi, thanks for your code. I have two confusions about the pre-trained model. 1. The order of input channels is RGB or BGR? 2. I see the dropout_rate is set...
