)]}'
{
  "commit": "c8b38b0bfd36306f1886375d98512d792ffe9517",
  "tree": "cd2c72c48c18e99b71bcfb1aa49526dbb460b185",
  "parents": [
    "86a673840664591287f1f23410c4037dc77851c5"
  ],
  "author": {
    "name": "Yue Chen",
    "email": "yuec@google.com",
    "time": "Thu Jan 05 11:58:32 2017 -0800"
  },
  "committer": {
    "name": "Yue Chen",
    "email": "yuec@google.com",
    "time": "Thu Jun 29 03:25:01 2017 +0000"
  },
  "message": "AV1 offline probability optimizer\n\nThis tool is a gadget for offline probability training.\n\nA binary executable aom_entropy_optimizer will be generated in\ntools/. It parses a binary file consisting of counts written in\nthe format of FRAME_COUNTS in entropymode.h, and computes the\noptimized probability table, which will be written to a new c file\noptimized_probs.c using the format in entropymode.c.\n\nCommand line:\n./aom_entropy_optimizer [directory of the count file]\n\nThe input file can be either be generated from a single run by\nturning on entropy_stats experiment(counts are accumulated from\nframe to frame, and finally written to counts.stt), or be collected\nat a larger scale, at which a python script (will be provided soon)\ncan be used to aggregate multiple stats output.\n\nOptimization for initial CDFs will be also supported later.\n\nChange-Id: I32070721aa8059439feb6b5a3a179f1001c66bb7\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "c96ddb3cca02ec5858cb969bae410542245194c3",
      "old_mode": 33261,
      "old_path": "configure",
      "new_id": "d01c5ff2380b03ba99a7bf697f1e219b14881d82",
      "new_mode": 33261,
      "new_path": "configure"
    },
    {
      "type": "add",
      "old_id": "0000000000000000000000000000000000000000",
      "old_mode": 0,
      "old_path": "/dev/null",
      "new_id": "26c20d433a8fd2c98744bd5df5d58302d67a6670",
      "new_mode": 33188,
      "new_path": "tools.mk"
    },
    {
      "type": "add",
      "old_id": "0000000000000000000000000000000000000000",
      "old_mode": 0,
      "old_path": "/dev/null",
      "new_id": "63703ebd16ee79b76b34b0cba8b1267509fdf2cc",
      "new_mode": 33188,
      "new_path": "tools/aom_entropy_optimizer.c"
    }
  ]
}