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TDCNet
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TDCNet
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# TDCNet Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network [[Paper]](https://arxiv.org/abs/2412.14961) PyTorch implementation of paper 'TDCNet Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network' ## Dataset Preparation ### ClearGrasp Dataset ClearGrasp can be downloaded at their [official website](https://sites.google.com/view/cleargrasp/data) ### Omniverse Object Dataset Omniverse Object Dataset can be downloaded [here](https://drive.google.com/drive/folders/1wCB1vZ1F3up5FY5qPjhcfSfgXpAtn31H?usp=sharing). ## TransCG Dataset TransCG dataset is now available on [official page](https://graspnet.net/transcg). ## Requirements The code has been tested under - Ubuntu 22.04 + NVIDIA GeForce RTX 4090 - PyTorch 1.11.0 System dependencies can be installed by: ```bash sudo apt-get install libhdf5-10 libhdf5-serial-dev libhdf5-dev libhdf5-cpp-11 sudo apt install libopenexr-dev zlib1g-dev openexr ``` Python environment dependencies can be installed by ```bash pip install -r requirements.txt ``` ## Testing We provide pre-trained weight files on the TransCG dataset ’. /TransCG_checkpoint.7z‘, please unzip the file before use.
