Benchmark a CIELAB color conversion pipeline

[dzhoshkun]

Description

The following steps are a possible way to make video data available for GIFT-Grab-supported pipelines processing images on the GPU using the CIELAB color space using NVIDIA Performance Primitives (NPP):

1. Capture image data in I420 color format
2. Copy data from host to device
3. Convert I420 data to BGR format
4. Convert BGR data to CIELAB format
5. Do process data
6. Convert CIELAB data to BGR format
7. Convert BGR data to I420 format
8. Copy data from device back to host

The indirect conversions are because currently no direct conversion is supported by NPP.

Aim

The performance of this pipeline should be assessed by measuring the time it takes to perform steps 2, 3, 4, 6, 7, and 8 so as to know how much time is left for step 5 in a pre-defined frame rate configuration.

Variables

• Image resolution in step 1
• Capture time in step 1
• Used GPU
• CUDA version
• Frame rate

[dzhoshkun]

Possible roadmap:

• [x] Load an image using OpenCV
• [x] Convert image from BGRA to I420
• [x] cudaMemcpy H-to-D (step 2)
• [x] nppiYUV420ToBGR_8u_P3C3R (step 3)
• [x] nppiBGRToLab_8u_C3R (step 4)
• [x] nppiLabToBGR_8u_C3R (step 6)
• [x] nppiBGRToYUV_8u_C3P3R nppiBGRToYUV420_8u_AC4P3R nppiBGRToYCrCb420_8u_C3P3R (step 7)
  • [x] check this converts to I420
• [x] cudaMemcpy D-to-H (step 8)
• [x] Convert image from I420 back to BGRA
• [x] Save "processed" image
  • [x] check it's the same

[dzhoshkun]

• [x] is above sync commit necessary?

[dzhoshkun]

• [x] fix all TODOs
• [x] check all indexing fine