RAFT
pointnet2
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| RAFT | pointnet2 | |
|---|---|---|
| 3 | 2 | |
| 2,985 | 2,875 | |
| 3.4% | - | |
| 3.2 | 0.0 | |
| 5 months ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RAFT
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SD-CN-Animation updated to v0.9. Many of the major issues were fixed, better vid2vid quality, ControlNet in txt2vid mode and more! Here is an example of how txt2vid with CN looks like.
Learning something new. Recently learned to use temporal kit, i.e. merge multiple frames into the same image to achieve consistency. You are using " 'RAFT' optical flow estimation algorithm to create an occlusion mask that is used to generate the next frame". Curious, how is it used?
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Optical flow installation for a Stable Diffusion extension
The command "conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.1 matplotlib tensorboard scipy opencv -c pytorch" is asking to install Google Authenticator in an environment, as part of a package install. Trying to install this https://github.com/princeton-vl/RAFT to run this https://github.com/volotat/SD-CN-Animation
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Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out
https://github.com/princeton-vl/RAFT#optional-efficent-imple...
It's "optional" in the sense that things still calculate correctly on CPU without it, but at a 1000x performance penalty. Or you could skip it if you had 64GB of GPU RAM, which you cannot buy (yet).
So if you actually want to work with this on GPUs that are commercially available, you need it.
pointnet2
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Why does trained model fail on new data?
Is this how you trained the segmentation? https://github.com/charlesq34/pointnet2
- Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out
What are some alternatives?
SD-CN-Animation - This script allows to automate video stylization task using StableDiffusion and ControlNet.
Pointnet_Pointnet2_pytorch - PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
dgcnn.pytorch - A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
ttach - Image Test Time Augmentation with PyTorch!
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation