Nvidia Instant-ngp: Create your own NeRF scene from a video or images (Hands-on Tutorial)
Prodramp
This video is all you need to convert a video or image to NeRF scenes on Ubuntu 22.04 machine with Cuda-nn, Python 3.9, colmap, ffmpeg and other libraries..
The new NVIDIA NGP Instant NeRF is a great introduction to getting started with neural radiance fields. With your own video and/or image dataset, you can compile the codebase, prepare your images, and train your first NeRF. Unlike other NeRF implementations, Instant NeRF only takes a few minutes to train a great-looking visual.
GitHub Resources: https://github.com/prodramp/DeepWorks/tree/main/Instant-NGP
Research Paper and Code: https://github.com/NVlabs/instant-ngp
ā¬ā¬ā¬ā¬ā¬ā¬ ā° TUTORIAL TIME STAMPS ā° ā¬ā¬ā¬ā¬ā¬ā¬
- (00:00) Quick Demo
- (00:45) NeRF intro
- (01:45) Content details
- (03:35) Setting Ubuntu 22.04 Environment
- (08:30) Building instant-ngp library
- (10:00) Convert video to NeRF Data
- (18:05) NeRF Scene Demo starts
- (21:18) NeRF Rendering Options
- (24:28) Debug Visualization
- (26:35) Saving NeRF Snapshot
- (27:26) NeRF Histogram
- (28:20) NeRF Volume
- (29:32) NeRF Gigapixel Images
- (31:52) Conclusion
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Content Creator: Avkash Chauhan (@avkashchauhan)
Tags: #nvidia #ai #nerf #cnn #ml #lime #aicloud #h2oai #driverlessai #machinelearning #cloud #mlops #model #collaboration #deeplearning #modelserving #modeldeployment #pytorch #datarobot #datahub #streamlit #modeltesting #codeartifact #dataartifact #modelartifact #onnx #aws #kaggle #mapbox #lightgbm #xgboost #classification #dataengineering #pandas #keras #tensorflow #tensorboard #cnn #prodramp #avkashchauhan #LIME #mli #xai #instant-ngp #cuda #cuda-nn ... https://www.youtube.com/watch?v=Yejdb9l1w2Q
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