Description
Extensive use of OpenCV with ROS:
Connect to Webcam/Depth using ROS
- Resolution and Performance
- Driver Installation
- ROS Image Pipeline (image_view, stereo_view, depth_view)
- Testing Kinect/webcam
OpenCV and ROS: opencv_bridge
- Example 1: Edge Detection (Python)
- cv_bridge
- image processing
- publish/subscribe/callback
- Example 2: Writing Text on Image screen
- Example 3: Selecting Region of Interest (ROI) with mouse
- Example 4: Processing Recorded Video
Image Processing for Face Detection with basic functions in OpenCV (Python)
- Example 1: Cascade Classifier with Haar-like features
- Example 2: Keypoint Detection
- Example 3: Tracking Keypoints with Optical Flow
- Example 4: Merging algorithms to increase robustness and computational efficiency
- Example 5: Dynamic Addition/Dropping Keypoints
Color Segmentation and Tracking (Python)
Connect to Webcam/Depth using ROS
- Resolution and Performance
- Driver Installation
- ROS Image Pipeline (image_view, stereo_view, depth_view)
- Testing Kinect/webcam
OpenCV and ROS: opencv_bridge
- Example 1: Edge Detection (Python)
- cv_bridge
- image processing
- publish/subscribe/callback
- Example 2: Writing Text on Image screen
- Example 3: Selecting Region of Interest (ROI) with mouse
- Example 4: Processing Recorded Video
Image Processing for Face Detection with basic functions in OpenCV (Python)
- Example 1: Cascade Classifier with Haar-like features
- Example 2: Keypoint Detection
- Example 3: Tracking Keypoints with Optical Flow
- Example 4: Merging algorithms to increase robustness and computational efficiency
- Example 5: Dynamic Addition/Dropping Keypoints
Color Segmentation and Tracking (Python)
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.
Highlights
Description
Extensive use of OpenCV with ROS:
Connect to Webcam/Depth using ROS
- Resolution and Performance
- Driver Installation
- ROS Image Pipeline (image_view, stereo_view, depth_view)
- Testing Kinect/webcam
OpenCV and ROS: opencv_bridge
- Example 1: Edge Detection (Python)
- cv_bridge
- image processing
- publish/subscribe/callback
- Example 2: Writing Text on Image screen
- Example 3: Selecting Region of Interest (ROI) with mouse
- Example 4: Processing Recorded Video
Image Processing for Face Detection with basic functions in OpenCV (Python)
- Example 1: Cascade Classifier with Haar-like features
- Example 2: Keypoint Detection
- Example 3: Tracking Keypoints with Optical Flow
- Example 4: Merging algorithms to increase robustness and computational efficiency
- Example 5: Dynamic Addition/Dropping Keypoints
Color Segmentation and Tracking (Python)
Connect to Webcam/Depth using ROS
- Resolution and Performance
- Driver Installation
- ROS Image Pipeline (image_view, stereo_view, depth_view)
- Testing Kinect/webcam
OpenCV and ROS: opencv_bridge
- Example 1: Edge Detection (Python)
- cv_bridge
- image processing
- publish/subscribe/callback
- Example 2: Writing Text on Image screen
- Example 3: Selecting Region of Interest (ROI) with mouse
- Example 4: Processing Recorded Video
Image Processing for Face Detection with basic functions in OpenCV (Python)
- Example 1: Cascade Classifier with Haar-like features
- Example 2: Keypoint Detection
- Example 3: Tracking Keypoints with Optical Flow
- Example 4: Merging algorithms to increase robustness and computational efficiency
- Example 5: Dynamic Addition/Dropping Keypoints
Color Segmentation and Tracking (Python)
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.
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