Run all images in ${INPUT_IMAGE_DIR}
./detection/run_pointrend_coco.sh ${INPUT_IMAGE_DIR} -1
Run specific image frame ${i} in ${INPUT_IMAGE_DIR}
./detection/run_pointrend_coco.sh ${INPUT_IMAGE_DIR} ${i}
Get a initial 3D reconstructed scene from one single RGB image, which consists of multiple mesh objects.
./Total3DUnderstanding/run.sh
Total3D Results | Occupancy Results |
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Transfer each reconstructed object from Total3DUnderstanding into a water-tight mesh.
And it also contains the Manifold/build/simplify to smplify the water-tight mesh. please follow the Manifold/README.md to build.
<!-- /is/cluster/hyi/workspace/Multi-IOI/occupancy_networks/run_label.sh -->
./occupancy_networks/run_label.sh
We also test
https://github.com/chengzhag/Implicit3DUnderstanding
on PROX datset. It does not work well.
MPH8 | N3OpenArea |
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