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facebookresearch / em-pose

EM-POSE 3D Human Pose Estimation from Sparse Electromagnetic Trackers. This repository contains the code to our paper published at ICCV 2021: https//ait.ethz.ch/projects/2021/em-pose

Summary


		Main Code: 2,541 LOC (24 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 302 LOC (3);
		Duplication: 4%
		File Size: 0% long (>1000 LOC), 61% short (<= 200 LOC)
		Unit Size: 11% long (>100 LOC), 49% short (<= 10 LOC)
		Conditional Complexity: 6% complex (McCabe index > 50), 61% simple (McCabe index <= 5)
		Logical Component Decomposition: primary (8 components)
		Goals: Keep the system simple and easy to change (4)