Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.
hyuan 4ac2abc1a8 | 6 months ago | |
---|---|---|
.. | ||
Encoder-TMC2 | 9 months ago | |
README.md | 6 months ago |
OpenFastVC for V-PCC is developed based on the reference software of V-PCC, named TMC2. The deployment of the project follows the README.md of TMC2.
In the deployed projected, OpenFastVC provides three macro switches to control the intermediate coding information output, coding decision process, and the reference fast algorithm, respectively.
The current version of OpenFastVC primarily offers support for coding unit (CU) partition.
The three macro switches are as follows.
#define OFVC_OUTPUT_CU_INFO 0
#define OFVC_CU_DECISION_CTRL 0
#if OFVC_CU_DECISION_CTRL
#define OFVC_CU_DECISION_REF_ALG1 0
#endif
Setting OFVC_OUTPUT_CU_INFO to 1 can enable the output of CU partitioning information,where an example is illustrated below for reference. x and y are the position of current CU. w and h denote the CU width and height, respectively. split_mode:0 or split_mode:1 denotes that the best partitioning mode of current CU is Non_Split or QT, respectively.
Coding CU ==> x:64−y:0−w:64−split_mode :1
Coding CU ==> x:64−y:0−w:32−split_mode :0
Setting OFVC_CU_DECISION_CTRL to 1 can achieve the control over CU partition process. Assigning 1 or 0 to fast_split_flag indicates executing the original CU decision strategy for the current CU of early terminating the current partition.
int fast_split_flag;
To facilitate the performance evaluation of the designed algorithm, OpenFastVC also provides reference fast algorithms. In the current version, the fast CU partitioning algorithm proposed in [1] has been implemented, where it can be enabled by setting OFVC_CU_DECISION_REF_ALG1 to 1.
[1] H. Yuan, W. Gao, G. Li, and Z. Li, "Rate-Distortion-Guided Learning Approach with Cross-Projection Information for V-PCC Fast CU Decision," the 30th ACM International Conference on Multimedia (MM '22), New York, USA,2022, pp. 3085–3093. doi: 10.1145/3503161.3548215.
No Description
C++ C HTML INI Python other
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》