FC-DenseNet
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SimJeg
Fully Convolutional DenseNets for semantic segmentation.
I want to train Tiramisu on my own custom dataset. Can I do it with different size images or I can only use images with size like the Camvid dataset?
I clone dataset_loaders repository in my '/home/mountain/GitHub/' dictionary. Then, I use below commands to install the dataset_loaders: ```bash (biomediclasagne) mountain@Mountain:~$ cd GitHub/ (biomediclasagne) mountain@Mountain:~/GitHub$ ls dataset_loaders DSB3Tutorial FC-DenseNet ipywidgets Medical-Image-Analysis-IPython-Tutorials...
I have tried to re-implement the architecture described in the paper exactly, just in TensorFlow. But don't get the correct number of trainable parameters. I can't find where this is...
Hi, do you still remember the FLOPs of the model when you runed fc-densenet, the reviewer of my paper asked me to write the parameters and FLOPs values, but I...
Hello! I use camvid dataset for training. However, there are many errors when I run the train.py. Here are the changes. cause I changed the return of parallel_loader.py into `return...
@SimJeg Thank you very much for your repository. I have a little confuse about the frontend model. Which frontend model such as Resnet, inception, have you used? Would you tell...
I would like to use more than 3 channels/bands per image (not only RGB). How can I do that? What needs to be modified in order for the network to...
Hi SimJeg Is the Accuracy and IoU reported in your paper taken on the Validation Set or Test Set? I'm trying to reproduce your result, and I got 0.74 IoU...
I am wondering if there isn't an error in Figure 1. In order to get m=256 in the last conv. layer there must be a skip connection around the last...
i set [general] datasets_local_path = /home/GithubRepository/FC-DenseNet/datasets/ [camvid] shared_path = /home/GithubRepository/Tensorflow-SegNet/CamVid/ in CamVid folder CamVid: --test --testannot --train --trainannot --val --valannot --test.txt --train.txt --val.txt when i run the code, the data...
