)]}'
{
  "commit": "69d104e01e5ad6bd7be3fce4ed0eaff6c0fe9fc5",
  "tree": "3f7222d6b275d301952cf7f1f77482455d28f277",
  "parents": [
    "e783171cc1279776b3146405eee9b25e763209af"
  ],
  "author": {
    "name": "Angie Chiang",
    "email": "angiebird@google.com",
    "time": "Mon May 21 09:56:32 2018 -0700"
  },
  "committer": {
    "name": "Angie Chiang",
    "email": "angiebird@google.com",
    "time": "Tue May 22 19:21:39 2018 +0000"
  },
  "message": "Add inter mode rd fitting/estimating model\n\n1) Put in a framework to estimate RD score from prediction error.\n   We do online training for each frame whenever the data number\n   is large enough. Only 4x4 block is applied with the framework.\n2) This is still a draft. We will adjust the parameters to\n   have better trade-off between the coding performance and the\n   skip rate in the follow up CLs.\n3) Put the previous data collection code under flag\n   INTER_MODE_RD_STATS_DUMP\n\nChange-Id: I110a697a3fe657f9988bfaf8e6a46fe1bc9e8dec\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "730aa78cd10e1f699c9e06bb6a54c45a25b38991",
      "old_mode": 33188,
      "old_path": "av1/encoder/encodeframe.c",
      "new_id": "deb39eccef31ba6850f7448e2277f795b2285ce0",
      "new_mode": 33188,
      "new_path": "av1/encoder/encodeframe.c"
    },
    {
      "type": "modify",
      "old_id": "532a096933da6058e290379f6421123ecfdf73c1",
      "old_mode": 33188,
      "old_path": "av1/encoder/rdopt.c",
      "new_id": "dc6c274387eb8a585c5929d52251b1a4eac55056",
      "new_mode": 33188,
      "new_path": "av1/encoder/rdopt.c"
    },
    {
      "type": "modify",
      "old_id": "da8846cf77a3cfbaee8d6a628e0470498b81a1d6",
      "old_mode": 33188,
      "old_path": "av1/encoder/rdopt.h",
      "new_id": "02b9ae13f2c30037de1aae25c3978580535444a6",
      "new_mode": 33188,
      "new_path": "av1/encoder/rdopt.h"
    }
  ]
}