CSV Log Giving Unknown Values
Issue #516
new
Using the CLI option --csv at log-level=2, I should be getting the following values: (from the documentation)
- Encode Order
- Type
- POC
- QP
- Bits
- Scenecut
- RateFactor Applicable only when CRF is enabled. (where is CRF enabled/disabled?)
- BufferFill BitsufferFillFinal Buffer
- Latency Latency in terms of number of frames between when the frame was given in and when the frame is given out. (should this be a non-integer?)
- PSNR
- SSIM
- Ref lists POC of references in lists 0 and 1 for the frame. (how many values would this be?)
-
I/P cost ratio
-
Analysis statistics:
- CU Statistics percentage of CU modes. (how many values is this?)
- Distortion Average luma and chroma distortion.
- Psy Energy Average
- Residual Energy Average
- Luma/Chroma Values minumum, maximum and average(averaged by area) luma and chroma values of source for each frame. (in which order?)
-
PU Statistics percentage of PU modes at each depth. (how many levels are there?)
-
Performance statistics:
- DecideWait (ms)
- Row0Wait (ms)
- Wall time (ms)
- Ref Wait Wall (ms)
- Total CTU time (ms)
- Stall Time (ms)
- Total frame time
- Avg WPP
- Row Blocks
However, when I attempt to interpret the data, I find that there are many percentage values that I cannot categorize into the above labels, as I find nearly double the types of values that are listed. Example from one frame slice:
0, I-SLICE,0,29.36,1634168,0,0,27.087,35.268,39.284,39.901,36.349,43, -, -,0.00%,0.00%,0.00%,1.79%,2.36%,1.62%,5.62%,6.44%,7.84%,11.57%,9.83%,25.06%,27.87%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,1280453.61,238988.54,0,13982134.74,52,1008,407.84,208,624,490.65,384,772,518.79,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,100.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,100.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,0.00%,96.22%,0.00%,0.00%,3.78%,0.00%,0.00%,0.00%,0.00%,0.00%,100.00%,27791,1,793,0,5493,0,24010,7.975,113
If anyone could help me categorize this data, and answer my questions regarding the values (which will probably help categorization), that would be of great help.