chu
chu
i have installed tensorflow with cpu version and keras and other environments successfully, pip install tensorflow==1.15.0 pip install keras==2.2.4 **but how to set a config when i want to inference...
When I was running **generate_superquadric_mesh.py**, and got a error: (syntheticGen) chu@U2G:~/pybullet-object-models/pybullet_object_models/superquadric_objects$ python generate_superquadric_mesh.py Traceback (most recent call last): File "generate_superquadric_mesh.py", line 36, in distance_bound=0.005 TypeError: generate_surface_mesh() got an unexpected keyword...
in the config file, why you didn't give the path to the validation set in the training process? what is the ratio of the training set to the validation set
After training the "[Coseg alien dataset](http://irc.cs.sdu.edu.cn/~yunhai/public_html/ssl/ssd.htm)" i have the weight and test result like: `epoch: 0 test Loss: 0.1333 Acc: 0.9766 Best: 0.9766` but how can i visualize the result?