sws-floatimg-cmp 2.7 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120
  1. gbrpf32le -> yuv444p16le -> gbrpf32le
  2. avg diff: 0.003852
  3. min diff: 0.000000
  4. max diff: 0.006638
  5. gbrpf32le -> yuv444p -> gbrpf32le
  6. avg diff: 0.004316
  7. min diff: 0.000000
  8. max diff: 0.012704
  9. gbrpf32le -> yuv444p9le -> gbrpf32le
  10. avg diff: 0.004053
  11. min diff: 0.000001
  12. max diff: 0.009402
  13. gbrpf32le -> yuv444p10le -> gbrpf32le
  14. avg diff: 0.003960
  15. min diff: 0.000000
  16. max diff: 0.008123
  17. gbrpf32le -> yuv444p12le -> gbrpf32le
  18. avg diff: 0.003878
  19. min diff: 0.000000
  20. max diff: 0.007011
  21. gbrpf32le -> yuv444p14le -> gbrpf32le
  22. avg diff: 0.003868
  23. min diff: 0.000000
  24. max diff: 0.006729
  25. gbrpf32le -> rgb24 -> gbrpf32le
  26. avg diff: 0.004122
  27. min diff: 0.000000
  28. max diff: 0.008975
  29. gbrpf32le -> bgr24 -> gbrpf32le
  30. avg diff: 0.004122
  31. min diff: 0.000000
  32. max diff: 0.008975
  33. gbrpf32le -> rgba -> gbrpf32le
  34. avg diff: 0.004122
  35. min diff: 0.000000
  36. max diff: 0.008975
  37. gbrpf32le -> bgra -> gbrpf32le
  38. avg diff: 0.004122
  39. min diff: 0.000000
  40. max diff: 0.008975
  41. gbrpf32le -> argb -> gbrpf32le
  42. avg diff: 0.004122
  43. min diff: 0.000000
  44. max diff: 0.008975
  45. gbrpf32le -> abgr -> gbrpf32le
  46. avg diff: 0.004122
  47. min diff: 0.000000
  48. max diff: 0.008975
  49. gbrpf32le -> 0rgb -> gbrpf32le
  50. avg diff: 0.004122
  51. min diff: 0.000000
  52. max diff: 0.008975
  53. gbrpf32le -> 0bgr -> gbrpf32le
  54. avg diff: 0.004122
  55. min diff: 0.000000
  56. max diff: 0.008975
  57. gbrpf32le -> rgb0 -> gbrpf32le
  58. avg diff: 0.004122
  59. min diff: 0.000000
  60. max diff: 0.008975
  61. gbrpf32le -> bgr0 -> gbrpf32le
  62. avg diff: 0.004122
  63. min diff: 0.000000
  64. max diff: 0.008975
  65. gbrpf32le -> rgb48le -> gbrpf32le
  66. avg diff: 0.003851
  67. min diff: 0.000000
  68. max diff: 0.007076
  69. gbrpf32le -> bgr48le -> gbrpf32le
  70. avg diff: 0.003851
  71. min diff: 0.000000
  72. max diff: 0.007076
  73. gbrpf32le -> rgba64le -> gbrpf32le
  74. avg diff: 0.003851
  75. min diff: 0.000000
  76. max diff: 0.007076
  77. gbrpf32le -> bgra64le -> gbrpf32le
  78. avg diff: 0.003851
  79. min diff: 0.000000
  80. max diff: 0.007076
  81. gbrpf32le -> gbrp -> gbrpf32le
  82. avg diff: 0.004122
  83. min diff: 0.000000
  84. max diff: 0.008975
  85. gbrpf32le -> gbrap -> gbrpf32le
  86. avg diff: 0.004122
  87. min diff: 0.000000
  88. max diff: 0.008975
  89. gbrpf32le -> gbrp9le -> gbrpf32le
  90. avg diff: 0.007737
  91. min diff: 0.000000
  92. max diff: 0.014009
  93. gbrpf32le -> gbrp10le -> gbrpf32le
  94. avg diff: 0.007662
  95. min diff: 0.000000
  96. max diff: 0.013605
  97. gbrpf32le -> gbrap10le -> gbrpf32le
  98. avg diff: 0.007662
  99. min diff: 0.000000
  100. max diff: 0.013605
  101. gbrpf32le -> gbrp12le -> gbrpf32le
  102. avg diff: 0.007622
  103. min diff: 0.000000
  104. max diff: 0.013335
  105. gbrpf32le -> gbrap12le -> gbrpf32le
  106. avg diff: 0.007622
  107. min diff: 0.000000
  108. max diff: 0.013335
  109. gbrpf32le -> gbrp14le -> gbrpf32le
  110. avg diff: 0.007620
  111. min diff: 0.000000
  112. max diff: 0.013232
  113. gbrpf32le -> gbrp16le -> gbrpf32le
  114. avg diff: 0.007680
  115. min diff: 0.000000
  116. max diff: 0.013275
  117. gbrpf32le -> gbrap16le -> gbrpf32le
  118. avg diff: 0.007680
  119. min diff: 0.000000
  120. max diff: 0.013275