Improving capture data pipeline

[mxochicale]

Raising this one to improve captured data

• [x] Adds tests with pytest
• [x] Capturing video in colour
• [x] Checking hardware requirements for video device https://github.com/nvidia-holoscan/holohub/tree/37718c89242be16ffc6f01cd5bbf3d89987631df/applications/usb_hdmi_video_capture
• [x] Add a second inertial sensor. Opening a new issue.
• [x] Maybe add an overlay to the captured frames. Leave it for future work

[mxochicale]

Note. Captured videos use the codec cv2.COLOR_RGBA2RGB to align to rgb garmut for devices. Although, we need to be careful when we use other video devices that have different pixel format 'YUYV' (YUYV 4:2:2), resolution Width/Height : 640/480, etc . See Kaye and Newton in 2006 discussing suggestions for colour management and color conversion from opencv below.

• Kaye, A., & Newton, S. D. (2006). Keeping up appearances—ultrasound imaging in a digital age. Ultrasound in Obstetrics & Gynecology, 27(3), 239-242. https://obgyn.onlinelibrary.wiley.com/doi/full/10.1002/uog.2739
• https://docs.opencv.org/4.8.0/d8/d01/group__imgproc__color__conversions.html