PyTorch-based Neural Radiance Fields adapted to satellite domain. This is one of the downstream applications of the SatelliteSfM package.
# training
python run_nerf.py --config configs/JAX_167.txt
# testing
python nerf_render_image.py --config configs/JAX_167.txt
# extracting mesh
python nerf_extract_mesh.py --config configs/JAX_167.txt
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[Unofficial code-base] NeRF--: Neural Radiance Fields Without Known Camera Parameters [ Project | Paper | Official code base ] ⬅️ Thanks the original
I explore rock vs. mine prediction using a SONAR dataset. Using a Logistic Regression Model for my prediction algorithm, I intend on predicting what an object is based on supervised learning.
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jumpdiff jumpdiff is a python library with non-parametric Nadaraya─Watson estimators to extract the parameters of jump-diffusion processes. With jumpd
What is nnDetection? Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of hi
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One-shot Neural Architecture Search uses a single supernet to approximate the performance each architecture. However, this performance estimation is super inaccurate because of co-adaption among oper
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