MocapX unlocks the full potential of the iPhone True Depth camera, bringing the unique experience of facial motion capture seamlessly to Maya. With MocapX, you can easily use the iPhone camera to animate characters in real time directly in Maya. MocapX tools allow you to use any custom or production rig.
I’ve been using FaceAR in Unreal and Unity for the past few years. It always took so much time to export then test in the engine. Now with MocapX I can test directly in Maya and not waste time exporting and always reconnecting the phone.
I know it’s kinda a bummer you cant test what your phone in real time with the app but it works just like it does in Unreal. I say Unreal and not Unity because I find Unity’s playback a little slow.
Also, I’ve been in constant feedback with the devs. Their support is awesome. I really can’t ask for more from this product.
It works great both for local recording and real-time streaming. The plugin with live mocap data is a huge time saver and works great over wifi. It takes some time to set up the poses, but after that, it's great. If you're a character animator and you use Maya, this is the tool for you.
Based on our record, TensorFlow seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 2 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
FaceRig - FaceRig is a program that aims to enable anyone with a webcam to digitally embody awesome...
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Muvizu Play - Muvizu is anything but difficult to utilize 3D liveliness programming that permits anybody to make brilliant activities rapidly and more efficiently.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
CrazyTalk Animator - CrazyTalk Animator, the next level of 2D animation. Create actors using any photo or illustration.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.