pointnet.pytorch
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fxia22
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
In the paper, the first MLP (64, 64) has two layers and the second MLP (64,128,1024) has three layers. In the implementation of PointNetfeat [here](https://github.com/fxia22/pointnet.pytorch/blob/f0c2430b0b1529e3f76fb5d6cd6ca14be763d975/pointnet/model.py#L87), the first MLP has just...
Dear Sir: I'm using Python3 and I'm trying to train the two .py files in /utils, I used: python3 train_classification.py --dataset='' --nepoch='' --dataset_type='' instead but the system told me that...
refactoring code with var unpack which is more pythonic, concise, readable and efficient; how do think this change which has practical value？
Traceback (most recent call last): File "C:/Users/123456/Desktop/PointNet/pointnet_pytorch-master_lingzhang1/show3d_balls.py", line 19, in dll=np.ctypeslib.load_library('render_balls_so','.') File "F:\anaconda1\lib\site-packages\numpy\ctypeslib.py", line 155, in load_library raise OSError("no file with expected extension") OSError: no file with expected extension
I ran this command ` python utils/show_seg.py` and reported the following error: ``` Namespace(class_choice='Chair', dataset='./shapenetcore_partanno_segmentation_benchmark_v0', idx=0, model='./seg/seg_model_Chair_29.pth') {'Chair': 0} {'Airplane': 4, 'Bag': 2, 'Cap': 2, 'Car': 4, 'Chair': 4, 'Earphone':...
Adds a new dependency, `meshio`, which can convert .off files to .ply. Updates the dataset init method to include functionality for converting .off files to .ply in-place. Also catches a...
While running the script `utils/train_classification.py` on Windows, I bump into the following error: ``` Traceback (most recent call last): File "", line 1, in Traceback (most recent call last): File...
Hi, When I run `pointnet.pytorch/utils$ python train_classification.py --dataset ../ModelNet40 --dataset_type modelnet40 ` I get error ```Traceback (most recent call last): File "train_classification.py", line 102, in for i, data in enumerate(dataloader,...
python train_ classification.py .After getting the model cls_model_XXX.pth, how to use the model to test ?Thanks！
