This is your work, valued
GSoC 2016 and 2017
mAP. mean Average Precision - This code evaluates the performance of your neural net for object recognition.
3kOpenLabeling. Label images and video for Computer Vision applications
962vision_blender. A Blender addon for generating synthetic ground truth data for Computer Vision applications
529android-touch-record-replay. How to record and replay touchscreen events on an Android device.
261SurgT_benchmarking. A dataset for benchmarking 2D Trackers in Minimally Invasive Surgery (MIS)
27cylmarker. Python
17dvrk_calib_hand_eye. Code for estimating the geometric transformations between the camera and the base of the robotic arms.
10SurgT_labelling. Python
6DistortionLab. Multi-camera intrinsic calibration and undistortion with a focus on visual interpretability.
3opencv-java. Updated OpenCV tutorials (code to be merged to OpenCV)
2robocup-at-home-objects. Objects archive from previous RoboCup@Home competitions
2dvrk_record_video. A ROS package for recording stereo video
2diffusion. A simple deep learning diffusion model, using U-Net backbone with time embeddings
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