Open quintendewilde opened 6 years ago
same issue
Anything changed? Anybody an idea to train own images??
Still no solution
The images of training dataset have a shape of (127, 127, 3). So you need to resize your image to this shape so that the network can test the output using you image.
Convert your images to size 127 x 127.
I converted the image size to 127 x 127 but still its not working
Convert your images to size 127 x 127.
its not working when i changed the image size to 127 x 127
the same issue How should I run it with the pictures I took
如何使用一组自己的图像来创建新的(不基于示例的)体素形状。
我想使用花盆(我从中得到的图像来制作 3D 体素形状)
该说明仅显示学习方面,而不显示如何在新图像上使用代码。或者我没有完全理解形状网部分。
更新
稍微更改了 demo.py 代码,并在imgs目录中放置了一些图片。
当运行python demo.py newobject.obj时
我收到此错误。
Traceback (most recent call last): File "demo.py", line 84, in <module> main() File "demo.py", line 52, in main demo_imgs = load_demo_images() File "demo.py", line 43, in load_demo_images return np.array(ims) ValueError: could not broadcast input array from shape (3,300,300) into shape (3)
我不知道这意味着什么。
尝试将图像大小调整为较小的宽度和长度,但这仍然给我同样的错误。
Hi, please did you fix this now, I really don't know how to change it
How can I use a set of own images to create a new (no example based) voxel shape.
I want to use pots (images I have from them to make a 3D voxel shape)
The instruction show only the learning aspect and not how to use the code on new images. Or I'm not fully understanding the shapenet part.
UPDATE
Changed the demo.py code a bit and put some pictures in the imgs directory.
When running python demo.py newobject.obj
I got this error.
I have no idea what this means.
Tried resizing the images to a smaller width and length but that still gives me the same error.