We lifted 5 functions out of this paper's own repositories and ran 4 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| marcbadger/avian-mesh | canonical | 4 of 5 |
| Function | Status | Where it lives |
|---|---|---|
| conv3x3 | Ran | marcbadger/avian-mesh/keypoint_detection/pose_hrnet.py code served (permissive licence) · get_code("fac5364e2f53c6db") |
| gmof | Ran | marcbadger/avian-mesh/optimization/losses.py code served (permissive licence) · get_code("caa9fb4f2881b68f") |
| load_detector | Ran | marcbadger/avian-mesh/keypoint_detection/load_detector.py code served (permissive licence) · get_code("2f4b0b9d402b57ac") |
| postprocess | Ran | marcbadger/avian-mesh/keypoint_detection/load_detector.py code served (permissive licence) · get_code("137c8dc2709a10b0") |
| get_pose_net | Not yet run | marcbadger/avian-mesh/keypoint_detection/pose_hrnet.py code served (permissive licence) · get_code("c58c94eb8ab132e0") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Automated capture of animal pose is transforming how we study neuroscience and social behavior. Movements carry important social cues, but current methods are not able to robustly estimate pose and shape of animals, particularly for social animals such as birds, which are often occluded by each other and objects in the environment. To address this problem, we first introduce a model and multi-view optimization approach, which we use to capture the unique shape and pose space displayed by live birds. We then introduce a pipeline and experiments for keypoint, mask, pose, and shape regression that recovers accurate avian postures from single views. Finally, we provide extensive multi-view keypoint and mask annotations collected from a group of 15 social birds housed together in an outdoor aviary. The project website with videos, results, code, mesh model, and the Penn Aviary Dataset can be found at https://marcbadger.github.io/avian-mesh.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2008.06133")
get_code_for_paper("2008.06133")
have("2008.06133")
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