- Pose Detection
In computer vision and robotics, a typical task is to identify specific objects in an image and to determine each object’s position and orientation relative to some coordinate system. This information can then be used, for example, to allow a robot to manipulate an object or to avoid moving into the object. The combination of position and orientation is referred to as the pose of an object, even though this concept is sometimes used only to describe the orientation. Exterior orientation and translation are also used as synonyms of pose 1 .
This demo uses:
More details on eIQ™ page.
NOTE: This demo needs a quantized model to work properly.
- Run the Pose Detection demo using the following line:
# pyeiq --run pose_detection
- This runs inference on a default image:
- Pass any image as an argument:
# pyeiq --run pose_detection --image=/path_to_the_image
- Run the Pose Detection using the following line:
# pyeiq --run pose_detection --video_src=/path_to_the_video
- Specify the camera device:
# pyeiq --run pose_detection --video_src=/dev/video<index>
- Use –help argument to check all the available configurations:
# pyeiq --run pose_detection --help