mirrors/gstreamer
mirrors/gstreamer
1
1
Fork 0
mirror of https://gitlab.freedesktop.org/gstreamer/gstreamer.git synced 2024-11-30 05:31:15 +00:00
Code Issues 1 Projects Releases Wiki Activity
gstreamer/ci/fluster/visl_references/test_suites/vp8/VP8-TEST-VECTORS.json
Detlev Casanova 095ed3edf0 ci: Use generated test suites data for visl 
As the visl driver does not do actual decoding but outputs a test
pattern, the fluster reference md5sums have to be changed.

This is generated using fluster's reference command and stored here to
run the v4l2 stateless codecs test against.

Part-of: <https://gitlab.freedesktop.org/gstreamer/gstreamer/-/merge_requests/5434>
2023-10-31 10:18:46 -04:00

495 lines
No EOL
24 KiB
JSON
Raw Blame History

{
"name": "VP8-TEST-VECTORS",
"codec": "VP8",
"description": "VP8 Test Vector Catalogue from https://github.com/webmproject/vp8-test-vectors",
"test_vectors": [
{
"name": "vp80-00-comprehensive-001",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-001.ivf",
"source_checksum": "5db435f13b5c35004f51307aee1074eb",
"input_file": "vp80-00-comprehensive-001.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-002",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-002.ivf",
"source_checksum": "75a157f300b584473a882341ee01c49e",
"input_file": "vp80-00-comprehensive-002.ivf",
"output_format": "yuv420p",
"result": "e46c565f59429451b8db7d8d71b78fb6"
},
{
"name": "vp80-00-comprehensive-003",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-003.ivf",
"source_checksum": "d27546ff4e0ac0fabccd35ada8ae8097",
"input_file": "vp80-00-comprehensive-003.ivf",
"output_format": "yuv420p",
"result": "e46c565f59429451b8db7d8d71b78fb6"
},
{
"name": "vp80-00-comprehensive-004",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-004.ivf",
"source_checksum": "e50def0f2a86f232fe04be70f5b8cd7f",
"input_file": "vp80-00-comprehensive-004.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-005",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-005.ivf",
"source_checksum": "763ac10a8f18859e3f3b1c59e039ddbc",
"input_file": "vp80-00-comprehensive-005.ivf",
"output_format": "yuv420p",
"result": "e46c565f59429451b8db7d8d71b78fb6"
},
{
"name": "vp80-00-comprehensive-006",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-006.ivf",
"source_checksum": "bc44062a750e4aef0a1d102c68310c7e",
"input_file": "vp80-00-comprehensive-006.ivf",
"output_format": "yuv420p",
"result": "482475c10500fc729c8ca7e0b871abfd"
},
{
"name": "vp80-00-comprehensive-007",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-007.ivf",
"source_checksum": "53454591d2f0fd0b5c5752e0a2d8df05",
"input_file": "vp80-00-comprehensive-007.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-008",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-008.ivf",
"source_checksum": "c420cdaceabdca4eb84b8840fda011e0",
"input_file": "vp80-00-comprehensive-008.ivf",
"output_format": "yuv420p",
"result": "78655b39c2c8d89a739f29ae7e619c1d"
},
{
"name": "vp80-00-comprehensive-009",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-009.ivf",
"source_checksum": "63b3efb510a2eb77e2a1d032e3d5f923",
"input_file": "vp80-00-comprehensive-009.ivf",
"output_format": "yuv420p",
"result": "e46c565f59429451b8db7d8d71b78fb6"
},
{
"name": "vp80-00-comprehensive-010",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-010.ivf",
"source_checksum": "6891ba00dceca891de112007da10b11d",
"input_file": "vp80-00-comprehensive-010.ivf",
"output_format": "yuv420p",
"result": "0b7bcf75a93be39a07ec8cf50f70bd3c"
},
{
"name": "vp80-00-comprehensive-011",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-011.ivf",
"source_checksum": "5a61cb69a0fe5177b499a6a651297e92",
"input_file": "vp80-00-comprehensive-011.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-012",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-012.ivf",
"source_checksum": "a37ce859bd408e055e258b83af10bb08",
"input_file": "vp80-00-comprehensive-012.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-013",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-013.ivf",
"source_checksum": "4a6df6888e585997e0d90f0476f51d93",
"input_file": "vp80-00-comprehensive-013.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-014",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-014.ivf",
"source_checksum": "a759db5460ccb8bdb333d0a7d1faa485",
"input_file": "vp80-00-comprehensive-014.ivf",
"output_format": "yuv420p",
"result": "5575a9327bf2ab0a3fc7e4a75f1d0dff"
},
{
"name": "vp80-00-comprehensive-015",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-015.ivf",
"source_checksum": "1a2c1d7e8dde1cc5ad4a3a4bda4d10d7",
"input_file": "vp80-00-comprehensive-015.ivf",
"output_format": "yuv420p",
"result": "cfa84b752530c495b90276ee91ccd030"
},
{
"name": "vp80-00-comprehensive-016",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-016.ivf",
"source_checksum": "7928d7b875c09146c5bf411f8fd07883",
"input_file": "vp80-00-comprehensive-016.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-017",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-017.ivf",
"source_checksum": "43845635a9e16d9c8ff603b7bd01aa96",
"input_file": "vp80-00-comprehensive-017.ivf",
"output_format": "yuv420p",
"result": "39abd974e08c5655242f93ddd20d5e81"
},
{
"name": "vp80-00-comprehensive-018",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-00-comprehensive-018.ivf",
"source_checksum": "e53d788311a24aab96ffa5c501120cf6",
"input_file": "vp80-00-comprehensive-018.ivf",
"output_format": "yuv420p",
"result": "0bd1f46a51aa70203b86a9265239c798"
},
{
"name": "vp80-01-intra-1400",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-01-intra-1400.ivf",
"source_checksum": "7b46e6afe9dd35c39478958794e9f3e7",
"input_file": "vp80-01-intra-1400.ivf",
"output_format": "yuv420p",
"result": "dabeea9c85278bd2c8e93ec25a09eaba"
},
{
"name": "vp80-01-intra-1411",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-01-intra-1411.ivf",
"source_checksum": "21117d25f5a0603a112ff7ad3811962d",
"input_file": "vp80-01-intra-1411.ivf",
"output_format": "yuv420p",
"result": "e3d88fde618e069d41635b6fbf12bf32"
},
{
"name": "vp80-01-intra-1416",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-01-intra-1416.ivf",
"source_checksum": "3e386993b4d6ad18e9e00ba50d4419ea",
"input_file": "vp80-01-intra-1416.ivf",
"output_format": "yuv420p",
"result": "bfd4788ea346afddb5be1a8f411676ef"
},
{
"name": "vp80-01-intra-1417",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-01-intra-1417.ivf",
"source_checksum": "babcde452fc9d4f3a23f41fd83f2ebdd",
"input_file": "vp80-01-intra-1417.ivf",
"output_format": "yuv420p",
"result": "bfd4788ea346afddb5be1a8f411676ef"
},
{
"name": "vp80-02-inter-1402",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-02-inter-1402.ivf",
"source_checksum": "53193b6135c96aeed8c28dc7948a20f1",
"input_file": "vp80-02-inter-1402.ivf",
"output_format": "yuv420p",
"result": "dabeea9c85278bd2c8e93ec25a09eaba"
},
{
"name": "vp80-02-inter-1412",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-02-inter-1412.ivf",
"source_checksum": "7a4fc994d3597f5b959b1303cbe97dea",
"input_file": "vp80-02-inter-1412.ivf",
"output_format": "yuv420p",
"result": "e3d88fde618e069d41635b6fbf12bf32"
},
{
"name": "vp80-02-inter-1418",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-02-inter-1418.ivf",
"source_checksum": "4e088375a56171d20e1b190d00081ef4",
"input_file": "vp80-02-inter-1418.ivf",
"output_format": "yuv420p",
"result": "70d287297268ec98f7c3974776672382"
},
{
"name": "vp80-02-inter-1424",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-02-inter-1424.ivf",
"source_checksum": "98dca7dec929dbb988a08a1b5d6f0448",
"input_file": "vp80-02-inter-1424.ivf",
"output_format": "yuv420p",
"result": "2fec50717d8c0bb576a4fba12d10c67f"
},
{
"name": "vp80-03-segmentation-01",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-01.ivf",
"source_checksum": "8e56151345371043f8a2589209102ad2",
"input_file": "vp80-03-segmentation-01.ivf",
"output_format": "yuv420p",
"result": "186518016401220e5663a6e0279f07c9"
},
{
"name": "vp80-03-segmentation-02",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-02.ivf",
"source_checksum": "f9d534180226c8ee224fb32f18800734",
"input_file": "vp80-03-segmentation-02.ivf",
"output_format": "yuv420p",
"result": "186518016401220e5663a6e0279f07c9"
},
{
"name": "vp80-03-segmentation-03",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-03.ivf",
"source_checksum": "59b799baa6e3e91c7c79601b9598d8a5",
"input_file": "vp80-03-segmentation-03.ivf",
"output_format": "yuv420p",
"result": "186518016401220e5663a6e0279f07c9"
},
{
"name": "vp80-03-segmentation-04",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-04.ivf",
"source_checksum": "b7fab93dcfcc2fa74856b04fa1a563c8",
"input_file": "vp80-03-segmentation-04.ivf",
"output_format": "yuv420p",
"result": "4f37ad7e05fa0c9ebe44a5557dd81d22"
},
{
"name": "vp80-03-segmentation-1401",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1401.ivf",
"source_checksum": "8b2a927d3a27c3b92b592c216766b6c8",
"input_file": "vp80-03-segmentation-1401.ivf",
"output_format": "yuv420p",
"result": "dabeea9c85278bd2c8e93ec25a09eaba"
},
{
"name": "vp80-03-segmentation-1403",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1403.ivf",
"source_checksum": "c9bbca64ae09624baa9bb6d34eeb9bef",
"input_file": "vp80-03-segmentation-1403.ivf",
"output_format": "yuv420p",
"result": "dabeea9c85278bd2c8e93ec25a09eaba"
},
{
"name": "vp80-03-segmentation-1407",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1407.ivf",
"source_checksum": "99fc581ea8818d57e678df17d164bd3d",
"input_file": "vp80-03-segmentation-1407.ivf",
"output_format": "yuv420p",
"result": "ea1d2f322c606e427fdeeda3b39f1a0a"
},
{
"name": "vp80-03-segmentation-1408",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1408.ivf",
"source_checksum": "96a83d30201582d5ea6b8894c50bd1a8",
"input_file": "vp80-03-segmentation-1408.ivf",
"output_format": "yuv420p",
"result": "ea1d2f322c606e427fdeeda3b39f1a0a"
},
{
"name": "vp80-03-segmentation-1409",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1409.ivf",
"source_checksum": "219ee70591ff0cfdfc6461f1ec533f05",
"input_file": "vp80-03-segmentation-1409.ivf",
"output_format": "yuv420p",
"result": "ea1d2f322c606e427fdeeda3b39f1a0a"
},
{
"name": "vp80-03-segmentation-1410",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1410.ivf",
"source_checksum": "e0d0ff4ab6327ca8e4b9b2a34d3a050e",
"input_file": "vp80-03-segmentation-1410.ivf",
"output_format": "yuv420p",
"result": "46abdd857b46986aa3be8ef4070cf28b"
},
{
"name": "vp80-03-segmentation-1413",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1413.ivf",
"source_checksum": "f30ee6207ccc47f7242c86746bb7f954",
"input_file": "vp80-03-segmentation-1413.ivf",
"output_format": "yuv420p",
"result": "e3d88fde618e069d41635b6fbf12bf32"
},
{
"name": "vp80-03-segmentation-1414",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1414.ivf",
"source_checksum": "b1773331e882289631f75931bcacc644",
"input_file": "vp80-03-segmentation-1414.ivf",
"output_format": "yuv420p",
"result": "c94f56fc26759294dee8d583c349a1e3"
},
{
"name": "vp80-03-segmentation-1415",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1415.ivf",
"source_checksum": "6b6cb722e80e0ea87e89b80d9217e17d",
"input_file": "vp80-03-segmentation-1415.ivf",
"output_format": "yuv420p",
"result": "c94f56fc26759294dee8d583c349a1e3"
},
{
"name": "vp80-03-segmentation-1425",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1425.ivf",
"source_checksum": "ba633f3350d266dd54d9f31e28a56637",
"input_file": "vp80-03-segmentation-1425.ivf",
"output_format": "yuv420p",
"result": "2fec50717d8c0bb576a4fba12d10c67f"
},
{
"name": "vp80-03-segmentation-1426",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1426.ivf",
"source_checksum": "78412f91a3bba9f60d8b65af0f06358e",
"input_file": "vp80-03-segmentation-1426.ivf",
"output_format": "yuv420p",
"result": "275637c6276d67acc8ff9c331bec5873"
},
{
"name": "vp80-03-segmentation-1427",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1427.ivf",
"source_checksum": "84bccd906ffd94f810e99faa57f4cbdf",
"input_file": "vp80-03-segmentation-1427.ivf",
"output_format": "yuv420p",
"result": "1cf904eb1a25a400e3ac2c9dd9b95433"
},
{
"name": "vp80-03-segmentation-1432",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1432.ivf",
"source_checksum": "22e91565f27f7ef2183ceb8432b99bbc",
"input_file": "vp80-03-segmentation-1432.ivf",
"output_format": "yuv420p",
"result": "de56f5cf147a796f90d9a2e0371b8e9c"
},
{
"name": "vp80-03-segmentation-1435",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1435.ivf",
"source_checksum": "a55fa0b322b4cc53fa2187e4416a9406",
"input_file": "vp80-03-segmentation-1435.ivf",
"output_format": "yuv420p",
"result": "275637c6276d67acc8ff9c331bec5873"
},
{
"name": "vp80-03-segmentation-1436",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1436.ivf",
"source_checksum": "9061775e2d282e947c105575a8523a6e",
"input_file": "vp80-03-segmentation-1436.ivf",
"output_format": "yuv420p",
"result": "a23f2911c7a33f3823096752d9207bc5"
},
{
"name": "vp80-03-segmentation-1437",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1437.ivf",
"source_checksum": "3bd9faad1398ed6a135ae4d9792ad3f0",
"input_file": "vp80-03-segmentation-1437.ivf",
"output_format": "yuv420p",
"result": "0bb3f823bc5ae129d7e8eb4b40410256"
},
{
"name": "vp80-03-segmentation-1441",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1441.ivf",
"source_checksum": "e36b42aed811748dba952c3bd5f52d38",
"input_file": "vp80-03-segmentation-1441.ivf",
"output_format": "yuv420p",
"result": "d203873678bb4eef517450fbf17e8382"
},
{
"name": "vp80-03-segmentation-1442",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-03-segmentation-1442.ivf",
"source_checksum": "425f9c67113d1290134c07e8f5d77e87",
"input_file": "vp80-03-segmentation-1442.ivf",
"output_format": "yuv420p",
"result": "275637c6276d67acc8ff9c331bec5873"
},
{
"name": "vp80-04-partitions-1404",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-04-partitions-1404.ivf",
"source_checksum": "c43e6cef11aca52580a27908028b3186",
"input_file": "vp80-04-partitions-1404.ivf",
"output_format": "yuv420p",
"result": "af4ae8ebecd4bf90c8bfe53fb271439f"
},
{
"name": "vp80-04-partitions-1405",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-04-partitions-1405.ivf",
"source_checksum": "646fdff5ba88ed22ffb735971105769b",
"input_file": "vp80-04-partitions-1405.ivf",
"output_format": "yuv420p",
"result": "af4ae8ebecd4bf90c8bfe53fb271439f"
},
{
"name": "vp80-04-partitions-1406",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-04-partitions-1406.ivf",
"source_checksum": "0cf98a4716f3357e9297dea66014b6e2",
"input_file": "vp80-04-partitions-1406.ivf",
"output_format": "yuv420p",
"result": "af4ae8ebecd4bf90c8bfe53fb271439f"
},
{
"name": "vp80-05-sharpness-1428",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1428.ivf",
"source_checksum": "a31daf9ab103d25c73257646e2c08ce5",
"input_file": "vp80-05-sharpness-1428.ivf",
"output_format": "yuv420p",
"result": "275637c6276d67acc8ff9c331bec5873"
},
{
"name": "vp80-05-sharpness-1429",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1429.ivf",
"source_checksum": "b8efcf9e7a79fe2a35eb626b3771e8c8",
"input_file": "vp80-05-sharpness-1429.ivf",
"output_format": "yuv420p",
"result": "1cf904eb1a25a400e3ac2c9dd9b95433"
},
{
"name": "vp80-05-sharpness-1430",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1430.ivf",
"source_checksum": "3de8f47c2a674849ad9cdc2ab1ca3d78",
"input_file": "vp80-05-sharpness-1430.ivf",
"output_format": "yuv420p",
"result": "d203873678bb4eef517450fbf17e8382"
},
{
"name": "vp80-05-sharpness-1431",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1431.ivf",
"source_checksum": "79836e920d59aad1eb0bce436c3b59f0",
"input_file": "vp80-05-sharpness-1431.ivf",
"output_format": "yuv420p",
"result": "1cf904eb1a25a400e3ac2c9dd9b95433"
},
{
"name": "vp80-05-sharpness-1433",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1433.ivf",
"source_checksum": "a38497d6f3ffd41e7721206606045a52",
"input_file": "vp80-05-sharpness-1433.ivf",
"output_format": "yuv420p",
"result": "275637c6276d67acc8ff9c331bec5873"
},
{
"name": "vp80-05-sharpness-1434",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1434.ivf",
"source_checksum": "fc477d6568fe5e883770bdf4985ee6bb",
"input_file": "vp80-05-sharpness-1434.ivf",
"output_format": "yuv420p",
"result": "0bb3f823bc5ae129d7e8eb4b40410256"
},
{
"name": "vp80-05-sharpness-1438",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1438.ivf",
"source_checksum": "b16e8be2a0737fc4909e6d33894c9ab3",
"input_file": "vp80-05-sharpness-1438.ivf",
"output_format": "yuv420p",
"result": "9933514afb39145dd0eb13135133b5e3"
},
{
"name": "vp80-05-sharpness-1439",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1439.ivf",
"source_checksum": "7cd82c16a2067d2e5e237915279136a2",
"input_file": "vp80-05-sharpness-1439.ivf",
"output_format": "yuv420p",
"result": "4dbb66c8ce6e5b144db9900bc6083a86"
},
{
"name": "vp80-05-sharpness-1440",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1440.ivf",
"source_checksum": "ec279fb33c49e3f1fc15682bc0e856e4",
"input_file": "vp80-05-sharpness-1440.ivf",
"output_format": "yuv420p",
"result": "275637c6276d67acc8ff9c331bec5873"
},
{
"name": "vp80-05-sharpness-1443",
"source": "https://github.com/webmproject/vp8-test-vectors/raw/main/vp80-05-sharpness-1443.ivf",
"source_checksum": "0f487aa71d618885ffc9c939fee8a644",
"input_file": "vp80-05-sharpness-1443.ivf",
"output_format": "yuv420p",
"result": "f1a25b75a3528b367112925b9dc75c56"
}
]
}
Reference in a new issue View git blame Copy permalink