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Hello, thanks a lot for sharing.
I want to use the pre-trained autoencoder model to meshing point cloud data(2048 points sampling from ShapeNet). I encountered two problems:
Poor performance on pre-trained autoencoder_1_sphere Model
When I used python train.py --demo --demo_input_path my_pcd.ply --reload_model_path ./training/trained_models/atlasnet_autoencoder_1_sphere/network.pth to generate mesh on my own data, I got this:
My data is just like the examples shown in your paper:
I also tried to use your data(2ca6df7a5377825cfee773c7de26c274.points.ply) but still got a poor result like this:
So I'd like to know if I did something wrong.
Cannot Load autoencoder_25_squares
I used python train.py --demo --demo_input_path my_pcd.ply --reload_model_path ./training/trained_models/atlasnet_autoencoder_25_squares/network.pth to load the autoencoder_25_squares model, but got this:
Hello, thanks a lot for sharing.
I want to use the pre-trained autoencoder model to meshing point cloud data(2048 points sampling from ShapeNet). I encountered two problems:
Poor performance on pre-trained autoencoder_1_sphere Model
When I used
python train.py --demo --demo_input_path my_pcd.ply --reload_model_path ./training/trained_models/atlasnet_autoencoder_1_sphere/network.pth
to generate mesh on my own data, I got this:My data is just like the examples shown in your paper:
I also tried to use your data(2ca6df7a5377825cfee773c7de26c274.points.ply) but still got a poor result like this:
So I'd like to know if I did something wrong.
Cannot Load autoencoder_25_squares
I used
python train.py --demo --demo_input_path my_pcd.ply --reload_model_path ./training/trained_models/atlasnet_autoencoder_25_squares/network.pth
to load the autoencoder_25_squares model, but got this:The text was updated successfully, but these errors were encountered: