open3d==0.8.0.0 opencv-python==4.1.1.26 torch==1.2.0 torchvision==0.4.0 tqdm==4.32.1 trimesh==3.2.20 Compile "./metrics" for re-evaluating reconstructed models. You ...

We present a novel method for soybean [Glycine max (L.) Merr.] yield estimation leveraging high-throughput seed counting via computer vision and deep learning techniques. Traditional methods for ...

Measures of human movement dynamics can predict outcomes like injury risk or musculoskeletal disease progression. However, these measures are rarely quantified in large-scale research studies or ...

Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored ...

Predators use vision to hunt, and hunting success is one of evolution's main selection pressures. However, how viewing strategies and visual systems are adapted to predation is unclear. Tracking ...

The DeepLabCut-Live! package provides a simple programming interface to load exported DeepLabCut models and perform pose estimation on single images (i.e., from a camera feed). By design, this package ...

If you find DeepIM useful in your research, please consider citing: @inproceedings{li2018deepim, title = {DeepIM: Deep Iterative Matching for 6D Pose Estimation}, author = {Yi Li and Gu Wang and ...